Solutions | Agentic Engineering
Agentic engineering, built and governed on AWS
Agentic engineering means AI agents take on real pieces of software work, while your team stays in control of what ships. We help ISV and SaaS engineering teams get there step by step, on AWS.
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AWS Advanced Tier
AI Competency
Delivery impact measured from day oneMost teams have AI coding tools, but no shared way of using them
Results depend on who's at the keyboard, there are no guardrails, and there's no clear proof it's speeding anything up.
Results depend on who's at the keyboard
Output quality varies by developer, and good practice stays in people's heads instead of in the workflow.
FIX
Shared workflows and conventions, so the whole team gets the same results.
There are no guardrails
Agents and tools run without review gates, permissions or an audit trail, so nobody can say what changed, or why.
FIX
Review gates, permissions and audit trails designed in from day one.
There's no proof it's speeding anything up
Nobody measures delivery before and after, so the investment can't be defended when the budget is questioned.
FIX
We measure the impact on delivery from the start.
Three stages, from AI-assisted to Software Factory
Start where your team is. Each stage is a working step in its own right and sets up the next.
STAGE 1
AI-assisted
Get the whole team using AI coding tools well, with shared workflows and conventions.
Includes:
Output
Every developer uses AI tools the same way, with results you can compare.
STAGE 2
Agent-delegated
Hand well-defined work, such as tests, refactors and bug fixes, to agents, with review gates in place.
Includes:
Output
Agents handle defined work; people review what ships.
STAGE 3
Software Factory
Changes move from idea to production with the checks built in.
Includes:
Output
A governed pipeline from idea to production.
Ready for stage 3?
Explore the Software FactoryWhy Cloud Combinator
AWS-native: We build on AWS-native services such as Amazon Bedrock, Amazon Bedrock AgentCore and Kiro.
Governed from day one: Security, permissions and audit trails designed in from day one.
Impact you can show: We measure the impact on delivery from the start, so you can show the results.
Step by step: Three stages, each a working step for ISV and SaaS engineering teams, with no big-bang change.
Related success stories
One governed inference path
An engineering team's AI moved onto Amazon Bedrock, so every inference request runs through a single governed, observable path under per-team caps.
Read moreServerless AI agents, without a rewrite
An email security platform's agents, handling around 400,000 emails a day, replatformed onto Amazon Bedrock AgentCore Runtime with validated parity and no rewrite.
Read more
Funding Xchange (FXE)
Multi-agent underwriting on Amazon Bedrock AgentCore, referenced on the AWS Summit keynote stage.
Read moreFrequently asked questions
What is agentic engineering?
Using AI agents to plan, write, test and change software as part of a governed delivery process.
How is it different from AI coding tools?
Coding tools help individual developers. Agentic engineering changes how the whole team delivers.
Do we need to be on AWS?
We build on AWS. If you're elsewhere, we can migrate you first.
Ready to put agents to work?
Book a 20-minute call and we'll find your starting point: which stage your team is at, what to hand to agents first, and how to measure the difference.
Why talk to us:
A clear starting stage for your team
Shared workflows and guardrails
AWS-native build
Delivery impact measured from day one
Start with a focused 20-minute conversation about your goals — no pressure, no commitment.