I run a production agent fleet that ships ~70% of its work unsupervised. I’ll build yours.
Most AI consultants sell decks. I sell an operating model I already run: my own software studio is a fleet of autonomous coding agents on infrastructure I built — and roughly 70% of its work merges to main with no human review. Safely, because every run passes a verifier gate, every project sits on an explicit trust ladder, and every completion is a structured contract, not a vibe.
Industry surveys put the share of enterprise agent pilots that never reach production at 78–88%. The cause is almost never the model. It’s missing verification, missing evals, and missing operational ownership — the only three things I sell.
Fleet metrics as of July 2026, pulled from the fleet’s own instrumented database — happy to screen-share the live dashboard. These are my numbers on my projects; yours get measured the same way.
Verification, not vibes
Every run ends in a structured completion contract and passes a verifier gate before anything merges. Runs can fail loudly — they can’t fail silently.
Merge safety by architecture
Per-run branch isolation, explicit auto-merge policy, and a kill switch. Autonomy is graduated and revocable — a trust ladder, not a leap of faith.
Evals with teeth
Pre-registered success criteria, blind adjudication, contamination controls. If your org isn’t ready, the audit says so — and the sprint doesn’t get sold.
Three ways to engage
Each rung de-risks the next. Most clients start with the audit; every audit ends with a scoped sprint proposal. Fixed prices, defined deliverables, no hourly meter.
Agent-Readiness Audit
2 weeks
A scorecard of your org on the six axes that decide whether agent work survives production — plus a costed 90-day roadmap with a named first pilot.
- Agent-Readiness Scorecard: verification gates, merge-safety architecture, trust-ladder maturity, eval infrastructure, tool agent-legibility, operator surface
- Stack + workflow audit: where agents already run, where runs silently fail, where humans are the bottleneck
- 90-day roadmap, sequenced and costed, with pre-registered success metrics for the first pilot
- Executive walkthrough (60–90 min) + written report
Pilot Implementation Sprint
4–6 weeks
One agent workflow, end-to-end to production, built on the operating model I run daily — with success criteria signed before the build starts.
- Structured completion contracts — no silent failures
- Per-run branch isolation, a verifier gate before merge, and a kill switch
- A written trust-ladder policy: what runs unsupervised vs. reviewed, per surface
- Metrics instrumentation: auto-merge rate, intervention rate, time-to-merge
- Pre-registered success criteria, signed before build — the anti-“dead pilot” clause
- Handoff: runbook + 2 recorded working sessions with your designated owner
Fractional Agent-Platform Lead
ongoing
I own your agent-platform direction so your team can own the code: policy evolution, eval reviews, new-workflow greenlights, and a monthly metrics review.
- Trust-ladder policy evolution as autonomy earns its way up
- Eval suite reviews and new-workflow greenlights
- Vendor and tooling calls — vendor-neutral, no rebates
- Monthly metrics review against the pre-registered targets
- Async Slack/issue access with a 1-business-day SLA
Fair questions
The ones you should be asking any consultant in this space — answered straight.
“You have a day job — will you be responsive?”
Async-first by design, and that’s a feature: my own fleet ships while I sleep; yours will too. The SOW defines a 1-business-day SLA and a weekly synchronous checkpoint. Fixed-price deliverables mean you’re buying outcomes, not my hours.
“~70% on your own projects ≠ our codebase.”
Correct — which is why every engagement starts with pre-registered success criteria for your environment, not my numbers. My numbers prove the operating model exists. Yours get measured the same instrumented way.
“Why not just have our own engineers do this?”
They should — after the sprint. The deliverable includes the runbook and the trust-ladder policy so your team owns it. You’re buying a six-week head start on years of my own trial and error, not a dependency.
“We already rolled out Copilot / Cursor.”
Assistants are not autonomous agents. Coding assistants lift individual throughput; unsupervised agent work is a different safety problem — merges that happen without a human in the loop. The readiness scorecard covers exactly that gap.
“How do we know agent code is safe to merge?”
You don’t, today — that’s the point. Verifier gates make every merge earn trust, and the trust ladder makes autonomy graduated and revocable. I’ll show you mine, live.
“A big firm quoted us $150K for a readiness assessment.”
Their deliverable is a deck. Mine is a scorecard, a costed roadmap, and an operator on the hook to implement the next rung at a fixed price — at a fraction of that quote.
The operator, not the talker
I’m Ryan Wolfe — a staff engineer at a big tech company, and before that: US Marine Corps data systems, then a decade in network/security consulting where I led solution-delivery teams as a Technical Director. Twenty years of infrastructure discipline, and I’ve held the client-facing bag before.
On my own time I built and operate the fleet: the orchestration system has shipped 103 releases of itself, and I authored an open standard for agent-drivable CLIs (aclig.dev) with 8 published conformant tools. Ask any other consultant in this space for their auto-merge rate.
Ground rules
- Every number is dated and comes from an instrumented system.
- Vendor-neutral — the fleet runs more than one agent vendor today, and recommendations aren’t rebates.
- No projected-ROI theater. If you’re not ready, the audit says so.
Your pilots are dying in the 88%. Let’s get you into the 12%.
Email me a paragraph about where agents are stuck in your org. I’ll reply within one business day with whether — and how — I can help.
rn.wolfe@gmail.com