AI USAGE AUDITS FOR ENGINEERING TEAMS
Creating Order
from your team's AI usage.
We audit how your engineers actually use AI coding tools day to day - pull requests, codebases, real patterns - and turn what we find into one practical policy the whole team follows.
Real Usage, Not Theory
We audit actual pull requests, codebases, and day-to-day AI usage across your team - not policy documents or hypotheticals. You get a clear picture of how AI tools are really being used.
One Team-Wide Standard
Findings become a practical internal policy your whole team can follow - one shared standard for using Claude, Copilot, ChatGPT and the rest safely and consistently, instead of everyone improvising their own rules.
Less Waste, More Output
We flag the token spend and inefficient habits burning through your AI budget, and show your team how to get more out of subagents, skills, and context management.
How the Audit Process Works
Code Review
We scan recent pull requests and commit history in supplied code for signs of leaked secrets, pasted proprietary code, and AI-generated changes that were never properly reviewed.
Usage Pattern Monitoring
We track how the team actually uses AI tools day to day, surfacing risky habits, avoidant holdouts, and wasted spend before they harden into culture.
Findings & Code of Conduct
Everything we find gets turned into a report and one practical internal policy your team adopts - a shared standard for using AI tools safely and efficiently, with an optional monthly retainer to keep it holding.