AI and intelligent systems
AI-native engineering
Use AI to build faster, with the checks still in place.
AI assistants can speed up design, coding, and testing, and they can also flood a codebase with work nobody has reviewed. We set up AI-assisted workflows for your team with clear guardrails: review gates, tests, and security rules that make the speed safe to keep.
01Is this you?
When teams come to us for this
- You want the speed of AI-assisted development without the risk.
- AI-generated code is landing in your repositories with little review.
- Leadership is asking how engineering should adopt AI, and nobody owns the answer.
- You want AI features in your product, built and tested responsibly.
02What you get
What the work includes
Workflows that fit
AI tools set up for your stack and your team, for the tasks where they genuinely help.
Review gates
Rules and checks so generated code is reviewed and tested like any other change.
Codebase context
Conventions and context that help assistants produce code that fits your system.
Evaluations for AI features
Tests against representative tasks, so you know when an AI feature is good enough to ship.
Security and data rules
Clear guidance on what may and may not be shared with AI tools.
Team enablement
Pairing on real work so your engineers build lasting habits, not just a demo.
03How it works
How an engagement runs
- 01
Review practice
Look at how your team works today and where AI would help or hurt.
- 02
Set guardrails
Configure tools, review gates, tests, and data rules.
- 03
Pair on real work
Use the new workflow on your roadmap, side by side with your engineers.
- 04
Measure and refine
Track quality and pace, and adjust what is not working.
04Questions
Common questions
Which AI tools do you use?
We choose with you, based on your stack, security needs, and budget. The guardrails matter more than the brand.
Will this replace our engineers?
No. It changes what they spend time on. Review, design, and judgement become more important, not less.
Can you build AI features into our product too?
Yes. That is the AI and intelligent systems practice, and it uses the same evaluation discipline.