Governed AI engineering teams
Software Development Lifecycle automation, end to end.
A governed team of AI engineers that carries every ticket from your Jira board to a reviewed, tested, merged pull request — behind fourteen hard gates, with a human on every decision that counts.
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Act I · The shift
The code is already written by AI. Nobody owns accountability for it.
of Google’s new code is AI-generated — and still approved by engineers.
of enterprise GenAI pilots deliver no measurable P&L impact.
The bottleneck moved from writing code to governing it.
What it is
We don’t sell the brain. We sell the organization that brain works inside.
The Jira board. The reviewers. The QA gates. The on-call rotation. The audit trail. The accountability structure a real engineering team runs on.
Act I · The economics
Same ticket. Three eras of cost.
Manual SDLC
$500–1,000
4–6 people
1–2 weeks
+ AI copilots
$400–800
4–6 · faster typing
~1 week
tOOrunt AI · auto
$10–50
0–1 · approvals only
Hours · 2h 36m
~95% lower cost per unit of shipped, reviewed work · 10–20× cycle-time compression — weeks become hours.
Human decision · 01
It never writes code before you approve the plan.
The bot posts an implementation plan to Jira — files, approach, risks, acceptance criteria — and stops at the first human gate. One of two decisions you actually make.
Human decision · 02
Two bots review each other. You sign off the PR.
A peer bot with its own GitHub identity reviews the change — a real, adversarial pass — then it waits for your approval before the second gate opens.
Act II · Our USP
Anyone can generate code. We land proven fixes.
01
Localize
Read the real files first — no guessing.
02
Match
Edits anchored to exact existing lines.
03
Apply
Surgical diffs · completeness sweeps.
04
Prove
Repro must fail pre-patch, pass post.
~0%true resolution on SWE-bench Lite — the defensible half nobody else gates on.
Act II · The answer
Trust is a screen, not a promise.
Secret vault
Keys live in a vault the pipeline can’t echo into logs or a model.
Prompt-injection firewall
Untrusted input is neutralized before any model sees it.
Migration gate
Irreversible DB changes stop for human sign-off.
Traces & kill switch
Explainable per-decision traces, exportable audit, instant stop.
A jailbreak can’t talk its way past a gate that’s code, not conversation.
Act III · The business
Everyone sells an agent. Nobody sells an accountable team.
| Claude Cowork | Devin | tOOrunt AI | |
|---|---|---|---|
| Unit of value | One person’s session | One task → one PR | An accountable team |
| Identity | The user’s own | One shared org agent | Per-bot Jira + GitHub identities |
| Review | — | Your humans review it | Bot-to-bot adversarial review — gates the merge |
| Governance | Folder / tool permissions | SSO + VPC + logs | 14 gates · hash-chained audit · vault · kill switch |
| Cost model | Subscription | Usage ACUs, open-ended | 3 LLM layers · capped · $10–50/PR, to the dollar |
Neither can tell your auditor who approved the merge. We’re the only one whose product is the answer to that question.
On the record
One evening. One product. Three decisions.
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