audit
AI Adoption Audit
You adopted the agents. Did the engineering around them catch up?
Most teams roll out AI coding tools and the reliability, the cost visibility, and the throughput don’t follow. An AI Adoption Audit is a one-week diagnostic that maps exactly where the gap is across your validation, telemetry, orchestration, and governance — and which fix moves the needle first. Start with the free self-scoring checklist below; book the full audit when you want it scored against your real codebase.
checklist
scope
Can you trust agent-written code without reading every line? The checks should be the gate, not a reviewer’s promise.
Do you know what your AI spend buys — per developer, per commit — across every agent and vendor, captured from outside the agent?
Can more than one agent work the same backlog without colliding, with their integration checked rather than assumed?
Are your rules enforced by the compiler and environment, so the agent physically can’t produce whole classes of error?
Could you produce a per-developer, per-vendor record of AI usage if finance, security, or a regulator asked?
book
Want it scored against your actual codebase?
The one-week audit turns the self-rating into an evidence-backed, prioritized map: where your validation, telemetry, and orchestration actually stand, and the shortest path to fixing the biggest gap. One 30-minute call to scope it. Engagements contract through Wood Fired Games.
Book the audit →