AWS Agentic Catalyst Program for enterprises

Turn AI ambition into a product you can fund, govern and scale

The AWS Agentic Catalyst Program, delivered with Thoughtworks, helps enterprise teams move from a high-value AI opportunity to a working prototype and a credible path to production.

In a focused, AWS-funded engagement for qualifying organizations, Thoughtworks brings together product strategists, designers and forward-deployed engineers to align leaders on the right problem, build in your environment and establish the business case for what comes next.

Powered by Thoughtworks' AI/works™ platform and 3/3/3 delivery method, the program brings together a dedicated team of specialists who will guide you through two core modules:

Executive alignment: A one-day session with your leadership team to define and validate your AI strategy.
Builder Days: Two hands-on days to build a working prototype in your own environment.

Download the full agenda.

The hard part is not generating another AI idea. It is choosing the right one.

Enterprise teams rarely lack ideas for applying AI. What they need is confidence that they are solving the right problem, creating meaningful value and building something that can work in the real world.

That means answering the important questions early:

Which customer, employee or business problem is worth solving?
Where can an agent improve the workflow, rather than add another interface?
What data, systems and controls will the solution require?
How will we measure value?
What should remain human-led?
Can the idea become a secure, governed product in production?

AWS Agentic Catalyst Program helps turn those questions into a shared direction, a working prototype and a decision-ready plan.

2025 AWS Data and Analytics Global Partner of the Year

600+ AWS-certified Thoughtworks engineers worldwide

100+ clients who have accessed AWS funding with Thoughtworks support

How we deliver

3/3/3 takes a client from a raw idea to a production-grade minimum lovable product in three days, three weeks and three months. We say lovable, not viable — the bar isn’t ‘does it technically work,’ it’s ‘would a customer choose it, recommend it, and miss it if it disappeared.’

Joe Murray

Global Head of CX and Product, Thoughtworks

Learn about 3/3/3

3/3/3 takes a client from a raw idea to a production-grade minimum lovable product in three days, three weeks and three months. We say lovable, not viable — the bar isn’t ‘does it technically work,’ it’s ‘would a customer choose it, recommend it, and miss it if it disappeared.’

Joe Murray

Global Head of CX and Product, Thoughtworks

Learn about 3/3/3

Move from AI ideas to evidence-based investment

Thoughtworks brings product thinking to agentic AI. We help enterprise teams identify the right problem, build in the context where value will be created and gather the evidence needed to decide what to invest in next.

Our product thinking heritage means we start with the outcome, the user and the workflow, not the model or the demo. We then combine that perspective with AI-first engineering and AWS to create a practical path from opportunity to production.

Choose the right problem

Start with the business outcome, the people affected and the moments where an agent can create meaningful leverage.

Build in context

Work with your real data, workflows, systems and controls to create a prototype that reflects the conditions of your enterprise.

Make the next decision

Use what you learn to define the value case, governance needs, ownership model and path to production.

See the method in action: Splio

Learn how Splio, Thoughtworks and AWS designed and built a working proof of concept for an automated, multi-agent campaign-creation workbench, running on Amazon Bedrock, in a three day sprint through the AWS Agentic Catalyst Program (ACP). With a clear path from concept to production, following Thoughtworks' 3/3/3 method, Splio has left with a validated three-year business case, projecting roughly 429% ROI and a four-month payback.

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Proven outcomes at enterprise scale

Build failures depended on scarce Bazel expertise, leaving engineers waiting hours while deploys stalled.

Thoughtworks and the client prototyped an agent on Amazon Bedrock that reads failing execution logs, checks them against Bazel documentation and returns the root cause and fix in under 60 seconds, with a projected 25% ROI and 15-month payback.

Every new client integration required weeks of manual API mapping, and non-technical users couldn’t configure AI governance without engineering help.

Two agents now map third-party schemas automatically and translate business rules written in plain language into guardrails, an advance projected to add more than $130M in valuation at a 32x ROI.

Frontline workers typing incident reports on phones, often wearing gloves in noisy conditions, were producing data too poor to power premium analytics.

The prototype lets workers dictate incidents by voice while Amazon Bedrock extracts structured compliance fields, flags gaps and delivers a verified record in under two minutes, with a projected 61% ROI and 13-month payback.

Compliance officers spent 20 to 30 minutes on each alert, checking jurisdictions, verifying denominators and correlating trades more than 40 times a day.

An overnight agent now navigates regulatory portals, verifies the data, correlates it with trade surveillance records and returns citation-backed findings by 9am, saving £1.3M to £2.2M a year per client with a projected 110% ROI.

Build failures depended on scarce Bazel expertise, leaving engineers waiting hours while deploys stalled.

Every new client integration required weeks of manual API mapping, and non-technical users couldn’t configure AI governance without engineering help.

Two agents now map third-party schemas automatically and translate business rules written in plain language into guardrails, an advance projected to add more than $130M in valuation at a 32x ROI.

Frontline workers typing incident reports on phones, often wearing gloves in noisy conditions, were producing data too poor to power premium analytics.

Compliance officers spent 20 to 30 minutes on each alert, checking jurisdictions, verifying denominators and correlating trades more than 40 times a day.

Looking to modernize what you already have?

The AWS Agentic Catalyst Program is designed to help enterprise teams build a new agentic product or capability. If your priority is modernizing a complex legacy estate, AI/works™ and AWS Transform offer a different starting point. Begin with a fixed-price, three-day workshop to create a validated modernization plan, with a path toward a proof of value and first production slice.

Explore AI/works™ × AWS Transform

Building software for your customers instead?

Explore the ISV-focused AWS Agentic Catalyst Program for technology businesses building agentic capabilities into their products.

Explore the ISV program