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How We Deliver · Autonomous Delivery
Infragil runs a senior AI “engineering lead” that directs a team of specialist agents — turning reported issues into reviewed, tested, release-ready changes. Continuously, in parallel, with a human gate before anything reaches production.
Autonomous build & test · mandatory security review · human-approved releases · full audit trailThe idea in one line
Instead of a single AI “doing everything,” work flows through a disciplined assembly line. Each stage is a specialist with one job — and each change must clear every gate before moving on.
The lead reads the backlog, ranks by business impact and risk, and routes each item — no human triage meeting required.
Every change is independently security-reviewed and tested. A failure sends it back for rework — it cannot quietly advance.
The system proves a change is ready — but a person owns the decision to release it live.
The journey of one change
Each step has an owner and an exit criterion.
Issue captured & prioritized by impact
Specialist implements the fix
Independent review of data, access, secrets
Automated tests & checks must pass
Human approves & deploys
Confirmed working live
What’s true for every change
No change reaches release without an independent security pass — customer-data isolation, access controls, secret handling. A gate, not a suggestion.
If a review or test fails, the item loops back and re-runs the full gauntlet. Bounded retries prevent endless loops; stuck work is surfaced, not buried.
Every data path is checked so one customer can never see another’s data — verified on each change, not assumed.
Every decision, review verdict, and status change is recorded against the original issue — a complete who/what/when history.
How it scales
Multiple issues move through the line simultaneously, each fully isolated so they never interfere.
A continuous loop: clear the backlog, then watch for new work and pick it up automatically — pausing itself when there’s nothing to do.
It dedupes repeats, routes infrastructure or out-of-scope items to the right owner, and focuses build effort only where it adds value.
Governance & control
Prioritization · build · security review · testing · quality gates · status tracking · audit logging.
The production release decision. The system hands a fully-proven change to a person who approves and deploys it.
Why it matters
Machine speed through the work that should be automated; a predictable stop at the one decision that should stay human.
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