Perfect for
Why this works
Adopt AI coding tools without losing control of code quality or security
Pick the right tools for your stack (Cursor / Claude Code / Copilot), not another vendor pitch
Train your engineers to use AI well, not just turn it on
Set up guardrails so AI mistakes get caught before they hit your users
How it works
Discovery
Understand your stack, team, current AI usage, and the risks you actually care about.
Rollout design
Pick tools, write rules and MCP configs, design code-review and security gates sized to your team.
Roll out and train
Deploy with your team, train engineers, iterate on rules. You own the setup at the end.
What you get
Tooling selection and rollout plan (Cursor / Claude Code / Copilot)
Rules, prompts, and MCP setup tailored to your stack
Engineer training and AI-aware code review process
Security guardrails for AI-generated code (scanning, review checklists)
Quality gates and CI to catch AI mistakes early
Internal docs so the next hire ramps without us