AI development environments, set up right
Your team is already using AI — the only question is whether it’s set up, standardized, and safe. We roll out the tooling, wire it to your systems, and write the rules of the road. From $5,000.
What you get
- Tool rollout: Claude Code, Cursor, Copilot — configured and connected to your stack
- MCP integrations so agents can safely reach your internal systems
- Agent workflows for the repeatable work: code review, tests, docs, triage
- Standards and guardrails: what AI may touch, what needs human review
- Hands-on training for engineers and operators — adoption, not shelfware
You walk away with
Configured AI dev environment
Included in every engagement — ownership transfers on delivery.
Playbooks & usage standards
Included in every engagement — ownership transfers on delivery.
Team training + adoption plan
Included in every engagement — ownership transfers on delivery.
Questions, answered
What does an AI enablement engagement set up?
The full development environment: coding agents (Claude Code, Cursor) configured for your repos, MCP servers connecting AI to your internal tools, agent workflows for repeatable engineering work, plus the standards, review gates, and training that make it stick.
Our engineers already use AI informally. Why formalize it?
Because informal means invisible: unvetted tools touching your code and data, no shared patterns, and productivity you can’t measure. A proper setup turns shadow AI into a standard, secured capability — usually while cutting tool spend.
How do you keep AI-generated code from degrading quality?
Review gates and standards are half the engagement: what AI may write, what humans must review, CI checks that catch the classic AI failure modes. Pair it with our AI Security Audit if you want the setup adversarially tested.