Ready to accelerate your agentic AI journey?
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Best practice guidance for addressing your top AI pain points
Where your agentic AI strategy is most under pressure
Complete this short assessment to get the answers to all these questions. Your results will include:
You’re innovating at pace to unleash new customer experiences, scale personalisation, and transform your business with agentic AI. But where are your biggest AI maturity gaps? Where should you be focusing your attention? And what solutions are available to address your specific challenges?
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Recommended AWS solutions that can help achieve your agentic AI goals
Exploring agentic AI use cases (early research/prototyping)
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How would you describe your organisation’s current stage of agentic AI adoption within products?
Considering but not yet actively exploring
Not considering agentic AI at this time
Scaling agentic AI across multiple cases
Deploying agentic AI in select cases
Agentic AI is fully embedded in our core offerings and operations
Running limited pilots or proofs of concept
Please select one:
Please select all that apply:
Ability to isolate AI data from the infrastructure provider
Which of the following measures has your organisation prioritised to manage security risks related to agentic AI*?
Role-based access controls and permission boundaries
Data encryption (in transit and at rest)
Third-party certification or compliance frameworks (e.g., ISO)
Implementation of AI-specific guardrails or kill switches
Regular security audits and penetration testing
*AI systems capable of making autonomous decisions and taking actions to achieve specific goals, often with minimal human intervention.
Activity/output-based (e.g., number of completed tasks, conversations)
Which pricing models are you currently using or piloting for your agentic AI*-enabled products and services?
Hybrid models (seat-based fee plus performance, usage or outcome bonus)
Outcome-based (e.g., per resolved ticket, per business result achieved)
Seat-based (per user or license)
Usage-based (e.g., compute time, API calls, tokens, credits)
We have reorganised internal departments to help us develop our AI offerings
To what extent has your organisation already made changes to its product strategy or organisational structure to capitalise on AI product development opportunities?
Our core value proposition is being changed to incorporate Agentic AI offerings
We have paused development on our non-AI focused product initiatives while our business model pivots
We are creating a spin off company focused on Agentic AI
We are creating entirely new product lines focused on Agentic AI
We have created new job roles specifically to be AI-focused
Regular joint planning or strategy sessions
What mechanisms or practices does your organisation use to foster effective collaboration on AI-driven projects?
Following DevOps practices
Cross-functional project teams or squads
Rotational roles or job shadowing between teams
Collaborative tools or platforms (e.g., shared dashboards, wikis)
Executive steering committees or sponsors
Shared KPIs or success metrics
Automated model selection,benchmarking, and A/B testing
What technical mechanisms or practices does your organisation use to foster effective development on AI-driven projects?
Access to multiple foundation models with intelligent routing and orchestration
Use of modular, microservices-based architecture for AI components
Use of MLOps platforms for continuous integration, delivery, and monitoring of AI models
Implementation of robust data pipelines and real-time data integration
Automated logging, monitoring, and auditing of agent actions and decisions
What mechanisms or practices does your organisation use to foster effective governance on AI-driven projects?
Adhering to Responsible AI policies to ensure fairness and transparency
Regular review of infrastructure performance - including impact on memory, runtime and storage
Automated rollback and failover mechanisms for AI-driven workflows
Integration of human-in-the-loop processes for oversight and quality assurance
Use of synthetic data for safe model training and validation
Scroll down for your results
Maximising your competitiveness
You rated yourself as a cloud experimenter business. That means your company is likely less mature across many of the key pillars of cloud transformation, relative to your industry peers. This report provides actionable tips and recommendations to help maximise your competitiveness through enhancing your maturity across these five pillars. They are all based on your survey responses and the findings of our Software Company Competitiveness Index research. Read on to discover what they are and how to apply them.
It’s time to accelerate your transformation
Industry benchmark
Your benchmark
Cloud maturity level
Cloud xxxxxxxxxxxx
Actionable steps to enhance your software company’s competitiveness, based on your responses to our Software Company Competitiveness Benchmarking Assessment
Your survey responses indicate that your software company has taken fewer steps than most when it comes to optimising your processes for product innovation. As such, you may benefit from reviewing your strategy to ensure you are making the best use of the latest technologies to drive and accelerate innovation. The following steps may be worth considering:
Our recommendations
Efficient processes for innovation are vital for bringing new products or solutions to market, optimising internal company processes and keeping up with ever-changing customer expectations. That means implementing processes for gathering and acting on customer feedback, modernising legacy infrastructure and streamlining development with DevOps best practice.
Your innovation competitiveness score is below the industry benchmark.
XX%
Transforming innovation processes
AWS SaaS Lab Accelerate the build of new products, migrate single-tenant environments, or optimise existing SaaS offerings on AWS through leveraging our ready-to- use resources and tools.
AWS Well-Architected Review Answer a few foundational questions to discover how well your architecture aligns with cloud best practices and gain guidance for making improvements.
If your business is starting to explore what the cloud or a SaaS can do, here are some AWS solutions that can help you identify the best path forward.
Plan for a successful cloud and SaaS transformation
AWS TechShift Utilise resources dedicated to helping software businesses quicken their cloud and SaaS transformations.
AWS Migration Acceleration Program (MAP) Leverage this comprehensive, outcome-driven methodology to accelerate your cloud journey. Access tools that reduce costs and automate and streamline execution, tailored training approaches and content, expertise from AWS Partners, and direct investment from AWS.
Evolving your operational footprint is an essential step on the road to cloud and SaaS maturity. Cloud infrastructure provides the foundation upon which your business can build modern products, solutions and capabilities.
Migrate core workloads and systems to the cloud
You said you are most interested in expanding your partnership model. Discover the full breadth of solutions AWS has developed to empower software companies like yours to achieve your goal in this personalised eBook.
Grow your business with AWS
Cloud adopter
You rated yourself as a cloud adopter business. That means your company’s maturity levels across many of the key pillars of cloud transformation are comparable to those of your industry peers. This report provides actionable tips and recommendations to help maximise your competitiveness through enhancing your maturity across these five pillars. They are all based on your survey responses and the findings of our Software Company Competitiveness Index research. Read on to discover what they are and how to apply them.
You’re doing great—but there’s more you can do
xxxxxxxxxxxx
You rated yourself as a cloud-native business. That means your company's maturity is among the best in your sector across many of the key pillars for cloud and SaaS transformation success. This report provides actionable tips and recommendations to help maximise your competitiveness through further enhancing your maturity across these pillars. They are all based on your survey responses and the findings of our Software Company Competitiveness Index research. Read on to discover what they are and how to apply them.
It’s time to cement your market leadership
When it comes to optimising product innovation, your survey responses indicate that your software company is taking many of the same steps as your peers. To get ahead of the pack, you may want to embed new ways to bring new products and features to market faster and advance your cloud modernisation journey. The following steps may be worth considering:
Efficient innovation is vital for bringing new products or solutions to market, optimising internal company processes and keeping up with ever-changing customer expectations. That means implementing processes for gathering and acting on customer feedback, modernising legacy infrastructure and streamlining development with DevOps best practice.
Your innovation competitiveness score is in line with the industry benchmark.
Streamline time-to-market with agile software development
When it comes to optimising your processes for product innovation, your survey responses indicate that your software company is doing more than most. But there are likely still more opportunities to further enhance software performance, streamline your development processes and supercharge your R&D. The following steps may be worth considering:
Your innovation competitiveness score is above the industry benchmark
AWS Lambda Run code for virtually any type of application or backend service—all with zero administration. Just upload your code and Lambda takes care of everything required to run and scale your code with high availability.
Amazon Elastic Container Service (ECS) Easily run applications on highly secure, reliable and scalable containers. Launch containers at scale, deploy faster, reduce costs with pay-as-you-go pricing and optimise your infrastructure for security and compliance.
Build and deploy microservices architecture that enables agile software development using containers and serverless computing.
Rearchitect for speed, performance and agility
AWS services simplify infrastructure provisioning and management, streamline code deployment, automate software release processes and monitor application and infrastructure performance. Together, they fuel continuous integration and delivery—securely storing and versioning your applications’ source code and automatically building, testing and deploying apps to AWS or your on-premises environment. Find out more
Rapidly and reliably build and deliver new software products using best-in-class tooling and infrastructure resources for DevOps practitioners.
Streamline software development
We regularly contribute to open-source communities such as Apache Software Foundation, the Linux Foundation and more. We also advocate for open-source development and support open-source partners to improve the operational experience for their customers. These include foundations such as the Eclipse Foundation, Cloud Native Computing Foundation and Open-Source Security Foundation. Find out more
AWS supports open-source projects, foundations and partners to maintain our status as the best place to build and run open-source software in the cloud.
Leverage open-source technologies for R&D
Lay the foundations for agile software development with modernised infrastructure in the cloud.
Accelerate your modernisation journey in the cloud
Upskilling employees across the business to enable effective data governance is an important first step on the road to AI maturity. From there, you can deploy pre-trained AI services for common use cases or experiment with AI foundation models (FMs) for more specialist uses. The following steps may be worth considering:
Your AI competitiveness score is below the industry benchmark.
Accelerating AI adoption
AWS Skill Builder Advance your professional goals and upskill your team with access to 600+ free trainings, gain new certifications and gain hands-on skills with lab experiences, generative AI-powered simulations and instructor-driven digital courses.
AWS Training & Certifications Build in-demand AI skills with a comprehensive suite of courses, tutorials and resources curated by AWS experts.
Plug skills and enablement gaps to help you secure your data and ensure effective data governance, to support effective AI solution development.
Lay the foundations for AI success
Amazon SageMaker AI is a fully managed service that brings together a broad set of tools to enable high-performance, low-cost machine learning for any use case. Support governance requirements with simplified access control and transparency over your ML projects. Build your own FMs, fine-tune existing one or access hundreds of pretrained models that you can deploy in a few quick steps. Find out more
Empower your team to deliver AI use cases at scale with a fully integrated development environment.
Build, train and deploy models for any use case
Customers increasingly expect advanced AI capabilities to be embedded into the software they use. In fact, 79% of AWS Software Company Competitiveness Index survey respondents say their customers’ expectations for AI functionality have increased in the past 12 months. But while 70% use AI for predictive analytics and 69% are using it to deliver advanced threat detection capabilities, relatively few are taking full advantage of AI’s potential to transform their products and solutions.
Amazon Q in QuickSight The most capable generative AI–powered assistant for leveraging your internal data. Empower business users to use natural language to build, discover and share meaningful insights in seconds, turning insights into impacts faster.
Discover the easiest ways to build and scale generative AI applications with FMs or LLMs.
Integrate AI easily with your existing systems
Amazon Bedrock Effectively leverage the most relevant AI models for front- and back-office use cases. Experiment with top FMs and large language models (LLMs) via a single API.
Amazon Bedrock Agents Enable generative AI applications to break down user requests and automate multistep tasks—freeing teams to focus on high-value work.
AWS provides best-in-class tooling and infrastructure resources for DevOps practitioners—simplifying infrastructure provisioning and management, streamlining code deployment, automating software release processes, and monitoring application and infrastructure performance. Together, they fuel continuous integration and deployment (CICD)—securely storing and versioning your applications’ source code and automatically building, testing and deploying apps to AWS or your on-premises environment. Find out more
Get started quickly with fully managed infrastructure and services that are built for scale, programmable, secure and which use automation to help you build faster and more efficiently. Access services as you need them and only for the period when you plan to use them, with no upfront fees, termination penalties or long-term contracts. Our ecosystem of DevOps Competency Partners which integrate with and extend AWS services can use your preferred third-party and open-source tools to build an end-to-end solution tailored to your needs. Find out more
Enable faster, more agile software delivery by orienting your team around DevOps best practice.
Once you have the infrastructure in place to support efficient AI development, ensuring your team has the skills to deliver the right outcomes is key. From there, you will need to think strategically about which AI capabilities are best suited for streamlining your back-office and transforming your product portfolio. The following steps may be worth considering:
Customers increasingly expect advanced AI capabilities to be embedded into the software they use. In fact, 79% of AWS Software Companies Competitiveness Index survey respondents say their customers’ expectations for AI functionality have increased in the past 12 months. But while 70% use AI for predictive analytics and 69% are using it to deliver advanced threat detection capabilities, relatively few are taking full advantage of AI’s potential to transform their products and solutions.
Your AI competitiveness score is in line with the industry benchmark.
Plug skills and enablement gaps to help you secure your data and ensure effective data governance to support effective AI solution development.
Upskill your team to support AI-driven outcomes
Built to handle large projects, Amazon Q Developer works alongside you from idea to production code. This generative AI-powered assistant is proven to enhance developer productivity by up to 40%. It streamlines end-to-end development tasks—from reading and writing files to generating code, running shell commands and beyond. Find out more
Radically streamline AI and software development with a purpose-built virtual assistant.
Enhance developer productivity
Amazon Bedrock Effectively identify and leverage the most relevant AI models for your front- and back-office use cases. Experiment with top FMs and LLMs via a single API.
Discover the easiest ways to build and scale generative AI applications with foundation models (FMs) and large language models (LLMs).
Experiment with generative AI use cases
You have already implemented a range of AI use cases and applications. But getting the most out of these investments depends on leveraging the latest and best technologies, furnishing models with the context to truly understand your customers and business and integrating them seamlessly with business processes. The following steps may be worth considering:
Your AI competitiveness score is above the industry benchmark.
100%
Amazon Bedrock Knowledge Bases Give FMs and virtual agents contextual information from your company’s private data sources to deliver more relevant, accurate and customised responses.
Discover the easiest ways to build and scale generative AI applications with foundation models (FMs).
Experiment with and evaluate top FMs
Amazon QuickSight Power data-driven practices with unified business intelligence (BI) at scale. Meet your users’ varying analytical needs via a single source of truth through modern interactive dashboards, pixel-perfect reports, natural language queries and embedded analytics.
Amazon Q Business provides an index of data spanning multiple third-party applications that software providers can securely access with an API. This additional data enhances your generative AI features so that your end users receive more contextualised responses from across connected applications. Find out more
Quickly connect to more data and improve response accuracy while maintaining robust security and privacy standards.
Enhance generative AI solutions with contextual data
Accelerating your cloud and SaaS (Software as-a-Service) journeys will unlock new opportunities to enhance and optimise the customer experience (CX). It may be worth exploring new tools and services to streamline your transformation. The following steps may be worth considering:
CX enhancement drives customer loyalty, differentiates software solutions and helps to maximise customer lifetime value. In the ages of cloud-enabled solutions, the two most widely adopted techniques for CX enhancement are continuous software delivery and updates and advanced security measures (e.g. zero-trust architecture).
Your CX competitiveness score is below the industry benchmark.
Optimising user experiences
AWS SaaS Factory Program Enable flexible software delivery and pricing models with access to content, best practices, solution architects and SaaS experts who can help you accelerate the delivery of customer-centric SaaS solutions.
AWS SaaS Competency Partners Drive innovation and unlock greater business value with partners that have deep technical knowledge and proven customer success. This will reduce friction when migrating off legacy applications and help you establish the foundations required to build and optimise SaaS solutions.
Accelerate your SaaS journey with technical enablement to deliver the flexible, intuitive experiences your customers expect.
Transform customer experiences in the cloud
AWS Migration Acceleration Programme This outcome-driven methodology accelerates migration and modernisation with tools that reduce costs and automate and accelerate execution, tailored training and content expertise from the AWS Partner Network and AWS investment.
AWS Migration and Modernisation Competency Partners Accelerate your cloud journey with partners that offer deep expertise in rehosting, relocating or re-platforming infrastructure to unlock the cloud-enabled customer experiences of the future.
Lay the foundations for cost-effective CX innovation in the cloud.
Enable modern CX with cloud migration
Amazon Q Business Make real-time customer insights accessible to everyone in your organisation with generative AI-powered virtual assistants. Unify access to structured data, enabling employees to uncover insights and make informed decisions faster, all from a single application.
Amazon Connect Improve customer experience with generative AI chatbots and virtual assistants. Seamlessly enable AI capabilities, continuously optimise your customer experience and stay at the cutting edge of innovation with AWS’s AI-native contact centre.
Discover easy-to-deploy solutions that deliver AI-powered personalisation.
Deliver personalised user experiences
As you advance your SaaS (Software as-a-Service) and cloud journeys, maintaining robust cybersecurity will prove vital for preserving customer trust. Choose providers that can empower you to experiment with the latest and best technologies while helping to maximise your cyber resilience. The following steps may be worth considering:
Your CX competitiveness score is in line with industry benchmark.
Amazon Connect Seamlessly enable AI capabilities, continuously optimise your customer experience and stay at the cutting edge of innovation with AWS’s AI-native contact centre.
AWS SaaS Factory Program Enable the flexible delivery models software buyers expect. Access content, best practices, solution architects and SaaS experts who can help you accelerate the delivery of customer-centric SaaS solutions.
Enhance the customer experience (CX) with AI-powered capabilities and optimised SaaS delivery.
Deliver the experiences your customers expect
AWS is architected to be the most secure global cloud infrastructure on which to build, migrate and manage applications and workloads. Our security, identity and compliance services provide you with the tools to identify, prevent, detect, respond to and remediate cyberthreats with speed and precision. We’ve also announced plans to launch an independent cloud for Europe to help customers meet their evolving sovereignty needs around stringent data residency, operational autonomy and resiliency. Find out more
Maintain robust cybersecurity as you innovate, deploy and scale customer-centric innovations at speed.
Move fast and stay secure
Amazon Q Business Make real-time customer insights accessible to everyone in your organisation with generative AI-powered virtual assistants. Unify access to structured data, enabling users to uncover insights and make informed decisions faster, all from a single application.
Amazon Lex Improve customer experience with generative AI chatbots and virtual assistants. Power natural sounding customer engagements that boost customer satisfaction while reducing operating costs.
Harness customer data to deliver AI-powered personalisation.
Realise personalisation at scale
Differentiated customer experiences hinge on your ability to harness data to understand customer needs in real-time and deliver optimised, personalised and AI-enriched interactions that meet and surpass their expectations. The following steps may be worth considering:
Your CX competitiveness score is above the industry benchmark.
Seamlessly enable AI capabilities, continuously optimise your customer experience and stay at the cutting edge of innovation with Amazon Connect, an AI-native contact centre from AWS. Find out more
Personalise at scale, centralise customer insights and remain agile in the face of evolving customer expectation.
Improve the customer experience at every interaction
Make real-time customer insights accessible to everyone in your organisation with Amazon Q Business, the most capable generative AI-powered assistant. Amazon Q Business unifies access to structured data, enabling users to uncover insights and make informed decisions faster, all from a single application. It also provides an index of third-party data sources, enhancing your generative AI features so that end users get more contextualised responses. Find out more
Effortlessly process product telemetry data to gain insights into how customers use your products and services.
Understand customers more deeply
Amazon Connect Partner Integrations Deliver differentiated customer service with technology solutions from trusted AWS Partners. Extend Amazon Connect contact centre functionality to anticipate your customers’ needs and resolve their issues faster and more efficiently.
Build and scale optimised customer experience capabilities with a flexible, modular approach.
Deliver customer experience innovation
Build strategic partnerships and list your products on cloud marketplaces to engage customers more effectively and enhance your reputation as a trusted solution provider. For example, AWS Marketplace delivers 80% larger deal sizes and 27% higher win rates. The following steps may be worth considering:
Fine tuning your go-to-market (GTM) strategy helps to accelerate revenue growth, ensure ongoing alignment with evolving buyer behaviours and support your plans for scaling efficiently in competitive markets. Listing in cloud marketplaces, expanding into emerging markets and implementing account-based marketing (ABM) strategies have emerged as the top strategies for GTM enhancement in our Software Company Competitiveness Index. These were cited by 73%, 71% and 69% of respondents, respectively.
Your GTM competitiveness score is below the industry benchmark.
Enhancing go-to-market strategy
Build, market and sell SaaS solutions on AWS as part of an integrated GTM strategy with the AWS Partner Network. We provide partners with access to technical enablement, GTM resources, funding programmes and marketing opportunities to accelerate growth and innovation. Find out more
Create a GTM strategy that achieves your growth objectives with resources and programmes that help you to drive demand and maximise market visibility.
Lay the foundations for confident growth
AWS Marketplace, our curated digital catalogue, provides a new sales channel for software companies to sell their solutions and creates a better buying experience for you and your customers. We make it easy for end customers to find, buy, deploy and manage software solutions, including SaaS, in a matter of minutes. Find out more
Reach customers through trusted channels, reduce friction in the buying process and close deals more efficiently.
Bolster your credibility and visibility
AWS SaaS Competency Partners can reduce the friction of migration from legacy applications, working closely with you to build the right foundations to optimise your SaaS solutions. Find out more
Get the expert advice and guidance on how to best scale into new markets from proven industry experts.
Get expert transformation support
Explore new ways to deepen your partnerships with cloud service providers, get maximum value from your existing routes to market and lay the groundwork for future market expansion. For example, AWS Marketplace can deliver 80% larger deal sizes and 27% higher win rates. The following steps may be worth considering:
Your GTM competitiveness score is in line with the industry benchmark.
Search Optimisation Make your software more discoverable by potential buyers with SEO. We provide clear guidance on the best ways to do this across your AWS Marketplace page.
Enable growth through optimising your AWS Marketplace deployments.
Optimise your path to market
AWS Partner Marketing Central is a self-service marketing automation platform that hosts customisable resources to expand customer reach and drive demand for your AWS offerings. From on-demand digital courses and marketing campaign assets to AWS-preferred agency support and personalised guidance from a virtual Partner Marketing Manager (vPMM), access ready-to-use resources and tools to maximise your marketing impact. Find out more
Accelerate your go-to-market efforts with scalable resources, tools and training.
Differentiate your brand and drive demand
AWS Global Passport puts the full scope of AWS resources and AWS Partner programmes at your service. Access tailored expertise, resources and strategic support to help you respond to any strategic, operational, technical, and go-to-market challenges you face as you enter international markets. Find out more
Expand internationally with an efficient and optimised AWS environment spanning cloud infrastructure, partner ecosystems and localised support.
Get ready for geographic expansion
Enhance your product listing Upload promotional media such as videos and images to boost engagement with your listing via the AWS Marketplace Management Portal.
Regional availability Define and limit where your products are made available to maximise your reach, align with tax and compliance requirements and get more control over your go-to-market strategy.
Explore new ways to grow your market leadership through deepening strategic partnerships and investing in critical innovation projects to continuously evolve your customer experience. For example, AWS Marketplace can deliver 80% larger deal sizes and 27% higher win rates. The following steps may be worth considering:
Fine tuning your go-to-market (GTM) strategy helps to accelerate revenue growth, ensure ongoing alignment with evolving buyer behaviours and support your plans for scaling efficiently in competitive markets. Listing in cloud marketplaces, expanding into emerging markets and implementing account-based marketing (ABM) strategies have emerged as the top strategies for GTM enhancement in our Software Company Competitiveness Index. These were cited by 73%, 71% and 69% of respondents respectively.
Your GTM competitiveness score is above the industry benchmark.
APN Customer Engagements (ACE) Program Securely collaborate and co-sell with AWS, drive successful customer engagements and grow your business with access to a dedicated platform to manage your pipeline of joint opportunities.
Expand your reach and get your products in front of new customer groups that align with your growth strategy.
Drive growth with co-selling support
AWS ISV Accelerate Software companies that have scaled their solutions on AWS can leverage co-sell support and benefits to encourage AWS Sellers to engage with participating partners and grow your revenue by selling with AWS. Incentivise AWS Sales teams, drive visibility with AWS Sales and gain prioritised access to AWS co- sell resources.
Agency Connect Engage with AWS-preferred marketing agencies that offer pre-negotiated, cost-effective services to support your ABM initiatives, many of which are eligible for Marketing Development Funds (MDF).
Partner-ready campaigns on Marketing Central Access a library of customisable, ready-to-launch campaigns designed to help you reach your target accounts effectively.
Marketing concierge Optimise ABM efforts to achieve better results. Collaborate with a virtual Partner Marketing Manager (vPMM) who can provide personalised guidance on marketing strategies, campaign development, MDF utilisation and joint marketing plans.
Adopt account-based marketing (ABM) best practice with tailored resources and support.
Adopt an ultra-personalised approach
Your company may benefit from embracing new SaaS deployment models and exploring new pricing models or innovations, to position your business for the AI-powered future. These may include tiered, value-based or usage-based pricing. The following steps may be worth considering:
Pricing and deployment models are key areas where software companies are struggling to meet rising expectations. Customers increasingly expect solutions that are flexible, predictably priced and tailored to their specific needs. From free trials to subscription or usage-based pricing and tiered packages that let customers start small and scale up—innovation starts with embracing SaaS. Multi-tenant architectures are a powerful enabler for SaaS-led pricing innovation, due to their scalability, cost-effectiveness and ease of deployment.
Your pricing competitiveness score is below the industry benchmark.
Advancing pricing and deployment model innovation
AWS SaaS Competency Partners Engage trusted SaaS implementation partners who will work closely with you to lay the right foundations for building and deploying high-performance solutions.
AWS SaaS Factory Program Accelerate your SaaS journey with access to content, best practices, solution architects and SaaS experts who can help you build customer-centric features and solutions.
Transform your pricing and deployment models to meet customer expectations.
Embrace a SaaS deployment model
AWS Specialisation Partners can provide the expertise and hands-on support to accelerate your cloud transformation. Find out more
Fast-track cloud migration and modernisation projects with expert help and support.
Expert support to accelerate cloud migration
AWS Competency Partners can support you in finding the answers to questions like these. Hear guidance and industry examples on generative AI pricing and GTM strategies from Sara Yamase, Partner and Head of Software, Internet and Media Practice at Simon-Kucher & Partners, in this AWS for Software Companies podcast. Listen now
As you integrate SaaS and AI capabilities into your products and services, what impact will these what on how people use your products? And how can you leverage these capabilities to drive revenue and profitability?
Find your ideal monetisation model
As you progress along the path to SaaS maturity, it’s important to optimise your solutions based on user behaviour and needs. Explore how you can support greater flexibility and streamline processes, while ensuring your monetisation strategy is aligned with your innovation roadmap. The following steps may be worth considering:
Your pricing competitiveness score is in line with the industry benchmark.
Amazon Q Business Analyse user behaviour to guide your product and feature development roadmap. Unify structured data and make it accessible via a generative AI assistant, enabling users to uncover insights and make informed decisions faster.
AWS SaaS Factory Program Optimise your SaaS solutions with access to content, best practices, solution architects and SaaS experts who can help you build customer-centric features and solutions.
Optimise SaaS deployments and gather insights to inform new products and features.
Optimise your SaaS deployments
AWS Marketplace, our curated digital catalogue, streamlines and simplifies the buying process for you and your customers. It enables operational efficiencies and streamlines procurement and deployment for end-customers. We also eliminate the need for custom legal, procurement and payment processes per deal. AWS handles billing, invoicing and global tax handling—eliminating the need for software vendors to provide separate invoices. Find out more
Make it quick and easy for end customers to find, buy, deploy and manage your solutions.
Simplify and streamline buying processes
Transitioning legacy customers seamlessly to SaaS deployments and integrating AI capabilities into your solutions to create profitable new offerings will be key milestones on the road to SaaS maturity. The following steps may be worth considering:
Your pricing competitiveness score is above the industry benchmark.
Amazon EKS/EC2 Start, run and scale Kubernetes containers without worrying about cluster management. Accelerate time-to-production for SaaS solutions, improve system performance and ensure robust security with this fully managed service.
AWS Well-Architected Build secure, high-performing, resilient, and efficient infrastructure to support your SaaS. Leverage this proven framework to optimise your solutions for operational excellence, security, reliability, performance efficiency, cost optimization and sustainability.
Enable new recurring revenue models
Engage 1:1 with an AWS migration expert to develop an optimised migration playbook, receive AWS Promotional Credits to offset migration costs for your customers and leverage resources to grow your migration’s marketing motion. Find out more
Bring your customers along on your SaaS transformation journey. Accelerate the migration of their workloads to the cloud with the AWS ISV Workload Migration Programme.
Transition your customers seamlessly to SaaS
Download the report
You said you are most interested in enhancing your products with AI. Discover the full breadth of solutions AWS has developed to empower software companies like yours to achieve your goal in this personalised eBook.
You said you are most interested in migrating to the cloud. Discover the full breadth of solutions AWS has developed to empower software companies like yours to achieve your goal.
Customer expectations score
XX/XX
Pricing & deployment
GTM strategy
CX
AI adoption
Innovation
You rated yourself as a cloud-first business. That means your company's maturity is among the best in your sector across many of the key pillars for cloud and SaaS transformation success. This report provides actionable tips and recommendations to help maximise your competitiveness through further enhancing your maturity across these pillars. They are all based on your survey responses and the findings of our Software Company Competitiveness Index research. Read on to discover what they are and how to apply them.
https://aws.amazon.com/isv/
Embrace multi-tenant architectures to optimise your solutions around customer-centric pricing models.
With deep technical knowledge and proven customer success, AWS Specialised Partners will help you leverage AWS Migration Acceleration Programme best practice to achieve greater flexibility and performance in the cloud. Find out more
Maximising your company’s AI competitiveness
When it comes to agentic AI maturity, you scored yourself [XX] out of a possible [YY]. That means your company is likely less mature across many of the key pillars of AI maturity, relative to your industry peers. This report provides actionable recommendations to help accelerate your journey to AI competitiveness through enhancing your maturity across our six pillars. They are all based on your survey responses and the findings of our AWS Software Company Competitiveness Index 2026 research. Read on to discover what they are and how to apply them.
Actionable steps to accelerate your journey to agentic AI maturity, based on your responses to our Software Company Competitiveness Benchmarking Assessment
Contact your dedicated account manager to schedule a bespoke strategy session
When it comes to agentic AI maturity, you scored yourself [XX] out of a possible [YY]. That means [company_name] is roughly in line with your industry peers across many of the key pillars of AI maturity. To seize the “first mover” advantage over your competitors, you should take steps now to accelerate your journey. This report provides actionable recommendations to help you get there through enhancing your maturity across our six pillars. They are all based on your survey responses and the findings of our AWS Software Company Competitiveness Index 2026 research. Read on to discover what they are and how to apply them.
Move faster to seize the agentic AI advantage
When it comes to agentic AI maturity, you scored yourself [XX] out of a possible [YY]. That means [company_name] is ahead of your industry peers across many of the key pillars of AI maturity. But in a space as fast-moving as AI, it’s important to keep up the momentum to retain your “first mover” advantage.This report provides actionable recommendations to help you deepen your market leadership through enhancing your maturity across our six pillars. They are all based on your survey responses and the findings of our AWS Software Company Competitiveness Index 2026 research. Read on to discover what they are and how to apply them.
Poor AI security can cause big problems, delaying product launches, denting customer trust and even resulting in regulatory consequences. Putting secure AI foundations in now will set your strategy up for success, helping you minimise risk and accelerate time-to-market in the long run.
Next steps for your company
Robust cybersecurity is essential for safeguarding customer trust and ensuring resilience against digital threats. This is doubly important in the age of agentic AI. Our search shows that 72% of European software companies have already experienced some kind of agentic AI-related security incident. These include prompt injection and AI tool misuse. Safeguarding AI security starts with ensuring training data is stored securely, selecting AI technologies that align with your organisation’s security posture, developing solutions using best practice security frameworks, and monitoring model behaviour for unexpected outputs or malicious activity.
Your AI security score is below the industry benchmark
AI security
Deliver proactive S3 data security using Amazon Macie’s machine learning–powered discovery, classification, and monitoring to identify sensitive information, surface risky bucket configurations, and automate alerts and remediation for potential data exposure.
Automatically discover and protect sensitive data
Protect data, code, models, and agents from experimentation to production. Embed security across the development lifecycle using Amazon SageMaker’s fine‑grained IAM access controls, private VPC networking, encryption in transit and at rest, secure registries and pipelines, and integrated audit logging.
Embed security across the AI lifecycle
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Accelerate your agentic AI journey today
When it comes to agentic AI, you scored as low maturity on a scale of low - high. That means your company is likely less mature across many of the key pillars of AI maturity, relative to your industry peers. This report provides actionable recommendations to help accelerate your journey to AI competitiveness through enhancing your maturity across our six pillars. They are all based on your survey responses and the findings of our AWS Software Company Competitiveness Index 2026 research. Read on to discover what they are and how to apply them.
Act now to accelerate your transformation
Your company's AI maturity level:
Low maturity
When it comes to agentic AI, you scored as medium maturity on a scale of low - high. That means your company is roughly in line with your industry peers across many of the key pillars of AI maturity. To seize the “first mover” advantage over your competitors, you should take steps now to accelerate your journey. This report provides actionable recommendations to help you get there through enhancing your maturity across our six pillars. They are all based on your survey responses and the findings of our AWS Software Company Competitiveness Index 2026 research. Read on to discover what they are and how to apply them.
When it comes to agentic AI, you scored as high maturity on a scale of low - high. That means your company is ahead of your industry peers across many of the key pillars of AI maturity. But in a space as fast-moving as AI, it’s important to keep up the momentum to retain your “first mover” advantage. This report provides actionable recommendations to help you deepen your market leadership through enhancing your maturity across our six pillars. They are all based on your survey responses and the findings of our AWS Software Company Competitiveness Index 2026 research. Read on to discover what they are and how to apply them.
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Deliver secure, compliant AI-powered agent solutions using Amazon Bedrock AgentCore. Our managed foundation models, enterprise-grade data isolation, and built‑in governance controls help you protect customer data, enforce access policies, and align with regulatory requirements.
Build secure, compliant AI agents customers can trust
Patchy AI security can cause big problems, delaying product launches, denting customer trust and even resulting in regulatory consequences. Evolving your processes and frameworks for resilience in the age of agentic AI will prove vital for safeguarding regulatory compliance and customer trust.
Robust cybersecurity is essential for safeguarding customer trust and ensuring resilience against digital threats. This is doubly important in the age of agentic AI. Our research shows that 72% of European software companies have already experienced some kind of agentic AI-related security incident. These include prompt injection and AI tool misuse. Safeguarding AI security starts with ensuring training data is stored securely, selecting AI technologies that align with your organisation’s security posture, developing solutions using best practice security frameworks, and monitoring model behaviour for unexpected outputs or malicious activity.
Your AI security score is in line with the industry benchmark
Deliver secure, compliant AI-powered agent solutions faster and more efficiently with Amazon Bedrock AgentCore. Our managed foundation models, enterprise-grade data isolation, and built‑in governance controls help you protect customer data, enforce access policies, and align with regulatory requirements.
Ensure consistent protection for data, code, models, and agents from experimentation to production. Embed security across the development lifecycle using Amazon SageMaker’s fine‑grained IAM access controls, private VPC networking, encryption in transit and at rest, secure registries and pipelines, and integrated audit logging.
Ensure proactive S3 data security using Amazon Macie’s machine learning–powered discovery, classification, and monitoring to identify sensitive information, surface risky bucket configurations, and automate alerts and remediation for potential data exposure.
Automate sensitive data discovery and protection
Cybersecurity is a key pillar of your AI strategy, and you are actively reimagining your frameworks and processes to mitigate new agentic AI-related risks. Continuing to evolve and embed cybersecurity best practice across the end-to-end model lifecycle will ensure you maintain your leadership over time.
Your AI security score is above with the industry benchmark
Consistently protect data, code, models, and agents from experimentation to production. Embed security across the development lifecycle using Amazon SageMaker’s fine‑grained IAM access controls, private VPC networking, encryption in transit and at rest, secure registries and pipelines, and integrated audit logging.
Operationalise proactive S3 data security using Amazon Macie’s machine learning–powered discovery, classification, and monitoring to identify sensitive information, surface risky bucket configurations, and automate alerts and remediation for potential data exposure.
Your business has been fast to embrace innovative new pricing models for your solutions for the age of agentic AI. But trends and customer expectations in this space are moving fast. AWS can provide pricing model guidance and solutions to help safeguard your ongoing growth and profitability.
Aligning how you price AI‑powered products with the value they deliver is critical for protecting margins, preserving customer trust, and staying competitive as agentic AI scales. Our research shows that 30% of European software companies have implemented usage-based pricing, with hybrid and usage‑based models set to become widespread in the coming years. Building maturity in pricing innovation starts with understanding how customers actually use and benefit from your AI‑enabled products, experimenting with flexible pricing structures that reflect that value, and ensuring your metering and billing systems can support more granular, consumption‑linked models.
Your Pricing model innovation score is above the industry benchmark
Pricing model innovation
Leverage deep industry insights to keep your business at the leading edge of pricing model innovation. Deliver innovative, customer‑aligned pricing models for agentic AI-powered solutions using AWS’s consultative guidance and support from specialist AWS Partners.
Stay at the leading edge of pricing strategy innovation
Help customers move frictionlessly to SaaS pricing models. Use AWS Marketplace Metering to track per‑use consumption, support pay‑as‑you‑go and tiered pricing, and automatically bill customers based on actual usage through their existing AWS account.
Align pricing to how customers consume your product
Leverage data‑driven pricing model insights and best‑practice enablement to further evolve your pricing strategy for the age of AI agents. AWS Marketplace’s List & Sell Program can provide guidance on designing competitive pricing and training to help you establish effective tiers and strategies.
Continue your evolution with proven SaaS playbooks
As agentic AI matures, software companies are pioneering new pricing models to safeguard the profitability of existing and new AI-powered solutions. As you continue this journey, AWS can provide expertise, guidance, and solutions to keep your offering aligned with evolving customer expectations.
Your Pricing model innovation score is in line with the industry benchmark
Leverage deep industry insights to ensure you are adopting the best pricing strategies for your agentic AI solutions. Deliver innovative, customer‑aligned pricing models using AWS’s consultative guidance and support from specialist AWS Partners.
Explore innovative pricing strategies
Evolve pricing models with proven SaaS playbooks
Limited pricing innovation around AI can erode margins, create unpredictable costs, and slow down adoption of your agentic solutions. Putting the right pricing foundations in place now will help you manage risk, protect profitability, and bring new AI products to market with greater confidence.
Your Pricing model innovation score is below the industry benchmark
Deliver frictionless adoption of SaaS pricing models. Use AWS Marketplace Metering to track per‑use consumption, support pay‑as‑you‑go and tiered pricing, and automatically bill customers based on actual usage through their existing AWS account.
Identify the best pricing strategies for your agentic AI solutions. Deliver innovative, customer‑aligned pricing models using AWS’s consultative guidance and support from specialist AWS Partners.
Deliver data‑driven pricing model innovation with best‑practice enablement from AWS Marketplace List & Sell Program, including guidance on designing competitive pricing and training to help you establish effective tiers and strategies.
Design pricing models with proven SaaS playbooks
AI agents will prove vital for your future competitiveness. Establishing foundational practices to support product strategy innovation now will help you move beyond experimentation, concentrate resources where they count, and accelerate time‑to‑value from your AI investments.
A clear AI‑led product strategy is essential for turning experimentation with agentic AI into sustainable revenue growth. Of the European software companies we surveyed, 17% have created new agentic AI-powered product lines, with 78% expecting to have them within three years. This journey starts with defining a focused vision for how AI agents will enhance your products, prioritising use cases that solve real customer problems, and setting clear success metrics for each initiative. It also means aligning roadmaps, resourcing, and commercial models around that vision.
Your product strategy score is below the industry benchmark
Product strategy development
Enhance the sustainability and profitability of agentic AI solutions with lightweight Amazon Nova models. Deliver scalable AI agents that offer differentiated experiences more cost effectively than those built using more complex LLMs, so your software handle more users and use cases within the same budget.
Run high‑performing AI features at a fraction of the cost
Deliver differentiated, AI‑powered product experiences. Build, deploy, and operate highly effective agents securely at scale using any framework and foundation model via Amazon Bedrock AgentCore. Empower your teams to rapidly prototype, refine, and scale new capabilities without having to manage the underlying model infrastructure.
Bring your product vision to life with leading AI agents
Align product development with customer needs to create a virtuous flywheel of innovation that’s always spinning. Discover AWS’s proven methodology for “working backwards” from customer needs in an interactive, AWS Partner-led workshop.
Refine your strategic approach to product development
As you move new solutions into production to capture the agentic AI opportunity, maximising developer efficiency and productivity will be key. Standardising platforms and empowering developers with access to best-in-class foundation models will help them to keep step with the pace of change.
Your product strategy score is in line with the industry benchmark
Deliver product growth via new GTM channels using AWS Marketplace’s curated digital storefront, co‑sell programs, and flexible pricing options. Reach millions of active AWS buyers globally, streamline procurement, and scale adoption of your software in new regions and customer segments.
Extend into new markets and segments
With agentic capabilities already embedded across your portfolio, the next frontier is orchestrating a cohesive agent ecosystem that learns continuously from real‑world usage and drives differentiated customer outcomes. Elevating product strategy now means scaling agentic capabilities seamlessly into new industry verticals or geographies to maximise value creation while staying ahead of competitors.
Your AI security score is above the industry benchmark
Deliver confident international growth using the AWS Global Passport Program to fast‑track and de‑risk your expansion into new markets, so you can align your product strategy with global demand.
Expand into new countries faster and more easily
Poor collaboration around AI can lead to misaligned expectations, duplicated work, and solutions that fail to deliver meaningful business impact. Putting collaborative foundations in place now will help you to reduce rework and move faster, with fewer surprises.
Agentic AI solutions cut across traditional boundaries between product, engineering, data, security, finance, and go‑to‑market teams. European software companies are already embracing DevOps best practice to set their agentic AI projects up for success. Nurturing effective collaboration for AI projects starts with bringing the right stakeholders together around your AI initiatives, creating shared visibility into priorities and roadmaps, introducing shared tools, and establishing common language and KPIs.
Your collaboration score is below the industry benchmark
Cross-functional collaboration
Deliver scalable, role‑based AI upskilling using AWS Skill Builder’s on‑demand learning paths, hands‑on labs, and certifications. Help your product, engineering, data, and business-focused teams to gain the practical AWS AI skills they need quickly, while learning at their own pace.
Upskill teams with AI training and resources
Embed DevOps ways of working with access to training and enablement via AWS Consulting Partners. Gain expert guidance to empower your teams to adopt agile and DevOps methodologies, modernise operations, and scale AI development best practices effectively.
Embrace DevOps best practice
Ensure collaborative, efficient software delivery using AWS’s AI workbench. Our fully open ecosystem integrates with your preferred code collaboration tools, so product, engineering, and data teams can co‑design, review, and iterate on AI‑driven features together in a single, connected workflow.
Support standardisation and collaboration across teams
As you move to hardwire joint ownership of AI outcomes across your organisation, you must formalise cross‑functional squads, shared backlogs and KPIs, and regular joint planning sessions. This will help you align decisions, reduce friction, and keep AI initiatives focused on measurable business value.
Your collaboration score is in line with the industry benchmark
Embed DevOps best practice organisation-wide
Bolster standardisation and collaboration across teams
With strong cross‑functional practices already in place, your next step is to embed collaboration into the operating fabric of your AI organisation. That means unifying AI development on common platforms and processes, empowering business leaders to participate directly in agile delivery cycles, and anchoring AI roadmaps to shared, outcome‑based KPIs.
Your collaboration score is above the industry benchmark
Reimagine development processes to unlock new levels of efficiency and productivity with best practice support and guidance form AWS experts. Our team is pioneering AI-native methodologies designed to fully integrate AI capabilities and usher in the next evolution in software engineering.
Integrate AI agents into your development lifecycle
Weak technical practices can leave your AI initiatives brittle, expensive to run, and risky to operate in production. They also limit the reusability of AI features and the efficiency of development teams. Implementing foundational technologies now—such as shared agent frameworks, basic MLOps capabilities, and clear technical standards for new AI projects—will help you reduce operational risk, shorten development cycles, and create a more scalable platform for future AI innovation.
Robust technical practices are the backbone of reliable, scalable AI and agentic solutions. As you embed agents deeper into your products and operations, ad‑hoc prototypes and one‑off integrations quickly run into limits around performance, reliability, and cost control. Building mature processes for AI development starts with establishing a consistent platform and toolset for AI development, implementing basic observability for your models and agents, and standardising how data flows into and out of AI systems. Our research shows that cloud‑mature software companies are more likely to have implemented many of the technical capabilities, such as MLOps platforms, that enable these ways of working.
Your technical practices score is below the industry benchmark
Technical practices
Infuse AI agents into planning, coding, testing, and deployment while keeping the tools and workflows they already trust. Deliver AI‑enhanced software delivery using AWS’s fully open ecosystem approach to seamlessly integrate Kiro or your preferred AI development solutions into existing pipelines.
Supercharge development with agentic AI
Optimise agentic AI solutions for performance and cost-effectiveness using Amazon Bedrock to select the best LLM for each use case and Amazon Bedrock AgentCore to build, deploy, and operate AI agents at scale.
Choose the right models to match your use case
Deliver safer, more predictable AI-powered applications. Using Amazon CloudWatch to centralise model activity logging, your teams can monitor performance, detect anomalies, and troubleshoot issues quickly across training, inference, and production workloads.
Gain full visibility into model behaviour
Standardising tools for AI development and implementing MLOps tooling is already starting to deliver more reliable, streamlined processes and greater reusability across the organisation. To reach full technological maturity, you must implement more robust and automated practices, integrate AI into the development lifecycle and empower teams to select the right models for their use case.
Your technical practices score is in line with the industry benchmark
Optimise agentic AI solutions for performance and cost-effectiveness using Amazon Bedrock to select the best LLM for each use case and Amazon Bedrock AgentCore to build, deploy, and operate AI agents at scale. Alternatively, when you need deeper control over performance, data, and differentiation, build and customize your own foundation models with Amazon SageMaker.
Choose or build the right models to match your use case
Ensure full visibility into model behaviour
With mature MLOps and standardised tooling in place, the opportunity now is to industrialise how you build, deploy, and refine agentic AI at scale. That means treating AI systems as first‑class production services, with end‑to‑end observability, automated testing and evaluation, and tightly integrated security and compliance controls. By unifying AI development on shared platforms, enabling intelligent model selection and routing, and continuously optimising for cost and performance based on real‑world telemetry, you can turn technical excellence into a durable competitive advantage.
Your technical practices score is above the industry benchmark
Weak AI governance can turn promising AI initiatives into sources of legal, reputational, and operational risk. Putting foundational governance in place now will help you move faster and with greater confidence. This starts with implementing systems and processes for designing, deploying, and monitoring AI systems, and making sure responsibilities for risk management are explicit.
Your AI governance score is below the industry benchmark
AI governance
Centrally select the right foundation models based on your data sensitivity, policy requirements, and risk tolerance using Amazon Bedrock AgentCore, so teams can safely build with only the models that meet your standards.
Innovate in line with your risk appetite
Deliver stronger AI governance using Amazon Macie to automatically discover, classify, and monitor sensitive data in S3, ensuring the datasets feeding your AI models are visible, controlled, and aligned with your compliance policies.
Protect sensitive data so AI systems stay compliant
Deliver robust AI governance using AWS Identity and Access Management (IAM). Centrally define, enforce, and audit fine‑grained permissions for who can access models, datasets, prompts, and deployment resources, ensuring AI capabilities are used securely and in line with your policies.
Enforce clear, least‑privilege access to models and data
With basic AI governance processes in place, your next priority is to move towards a coherent, enterprise‑wide framework. This means standardising policies and guardrails across teams, integrating governance into your development and deployment workflows, and using shared dashboards and audits to monitor models in production.
Strong AI governance is essential for using agentic AI safely, responsibly, and at scale. As agents start making decisions, acting on customer data, and interacting with other systems, the risks around security, privacy, bias, and regulatory compliance increase significantly. Our research shows that cloud‑mature software companies are more likely to have evolved their governance and oversight practices for the age of agentic AI—introducing measures such as systematic risk assessment, human‑in‑the‑loop controls, and formal evaluation of agent behaviour.
Your AI governance score is in line with the industry benchmark
Innovate in line with your governance standards and risk appetite
Simplify AI governance by using Amazon Macie to automatically discover, classify, and monitor sensitive data in S3, ensuring the datasets feeding your AI models are visible, controlled, and aligned with your compliance policies.
Ensure robust AI governance using AWS Identity and Access Management (IAM). Centrally define, enforce, and audit fine‑grained permissions for who can access models, datasets, prompts, and deployment resources, ensuring AI capabilities are used securely and in line with your policies.
In the age of agentic AI, effective governance is adaptive, data‑driven, and deeply integrated with your strategic decision‑making. You need continuous risk monitoring and post‑deployment evaluations to refine policies, aligning governance thresholds to business criticality, and automating as much of the control environment as possible.
Your AI governance score is above the industry benchmark
Ensure teams can build safely with only the models that meet your standards. Deliver compliant, risk‑aware AI solutions using Amazon Bedrock AgentCore to apply governance guardrails and centrally select the right foundation models based on your data sensitivity, policy requirements, and risk tolerance.
Standardise AI governance using AWS Identity and Access Management (IAM). Centrally define, enforce, and audit fine‑grained permissions for who can access models, datasets, prompts, and deployment resources, ensuring AI capabilities are used securely and in line with your policies.
Pricing
Product strategy
Collaboration
Medium maturity
high maturity
