A straight answer on whether your team can trust an agent to ship — and the first move if it can’t.

Between 78% and 88% of enterprise agent pilots never make it from demo to production. The demo works. Then it meets your real codebase, your CI, your review culture — and it stalls. The pilot gets shelved, and leadership quietly concludes “AI” was overhyped.

The failure is almost never the model. It’s three things nobody put in place before turning the agent loose: verification (how a run proves it’s actually done), evals (how you know a change is correct, not just green), and operational ownership (who governs what the agent is allowed to do unwatched). Pilots that scale spend proportionally more on exactly those three. Pilots that die skipped them.

This audit tells you, in plain terms, where your org stands on all three — and what the cheapest, highest-leverage first move is.

A two-week, fixed-scope diagnostic. $8,500, flat — no hourly meter, no six-figure strategy deck. About 16 hours of my time; most of the repo and CI archaeology is done by my own agent fleet, so the calendar stays short and the price stays honest. Scope is one engineering org (up to ~50 engineers) or one product group inside a larger one.

You need to give me read-only access to one or two representative repos, your CI config, and whatever agent or assistant usage data already exists. That’s it.

Engineering leaders (VP Eng, CTO, or an owner) at a 20–100 engineer B2B SaaS or dev shop who’ve already rolled out Copilot or Cursor, have at least one agent effort that stalled or that they badly want, and need to know where they actually stand before spending more. If you haven’t adopted assistants at all yet, it’s too early — I’ll tell you that for free.

The fleet has logged 483 agent runs across 12 projects; 340 of them (~70%) completed end-to-end without me intervening, and I’ve cut 103 releases of the orchestration system that runs it. Three of those 12 projects run fully autonomous with auto-merge enabled — 156 runs there, 101 of them completed.

That ~70% is my fleet on my projects — a completion rate, not a promise about your codebase, and I’ll never imply a client hit it. What it proves is that the operating model exists and I run it every day: verifier gates before merge, per-run isolation, an explicit trust ladder, structured completion contracts, evals with pre-registered criteria. Most people in this space sell the strategy. I can show you the run table.

I bring 20 years of infrastructure discipline behind it — USMC data systems, a decade leading network and security consulting delivery, now staff engineering — and I’ve authored the open standard for agent-drivable CLIs (aclig.dev). The audit turns that operating model into a diagnostic for yours.