Agentic Delivery, for engineering teams
Your agents open pull requests faster than your team can review them.
We set up the path from ticket to merge so agent work gets checked, reviewed and shipped. Or stopped. Your repos, your CI, your reviewers.
Add rate limiting to the export endpoint
opened by agent-svc-03, scoped to billing-api
- Unit testsPassed
- LintPassed
- Secrets scanPassed
- Scope check, 3 files changedAll in allowed paths
- Required reviewerWaiting
- MergeBlocked until approved
One switch stops the agent and every run it has open.
Buying the seats took a week. Getting them to ship is the hard part.
Teams that treat agents as a purchase stall. The ones that ship treat them as a change to how code gets reviewed and merged. If two of these sound familiar, that's where we start.
- The review queue doubled after the seats showed up.
- Nobody can say what the agent was allowed to touch.
- CI flakes get blamed on the agent. And the other way round.
- The pilot looked great in a demo. It never shipped.
Three stages. You can stop after the first.
Stage A stands on its own. Stage B only happens if Stage A says the loop is real. Time and materials, rates once we understand the job.
Stage A, 3 to 5 days
Readiness and pilot design
- Map how work gets from idea to merge today.
- Score your agent setup, CI, review rules and secrets handling.
- Pick one narrow pilot and the checks that prove it worked.
You keep
- Readiness scorecard
- Go or no-go memo, blockers named
- Pilot plan with success checks
Decision point. You decide whether Stage B happens, with the memo in hand.
Stage B, about 10 working days
Enablement sprint
- Give the agent its own identity and the least access it needs.
- Harden CI and make human review required.
- Write the skills and runbooks for one production loop.
- Measure the loop before and after, with a kill switch in place.
You keep
- CI and branch protection policy
- Agent instruction files
- Runbooks and a working kill switch
- Before-and-after numbers for the loop
Stage C, monthly, optional
AgentOps
- Keep the loop green as models and tools change.
- Add one adjacent loop at a time.
- Office hours for your team.
You keep
- Monthly run report
- Runbooks kept current
Machines check what machines are good at. People check whether it should exist.
Your reviewers shouldn't spend their time on formatting or a missing test. By the time a person sees agent work, the automatic checks have already passed. They review intent and design.
Agent
Works on its own branch with a scoped token.
Automatic checks
Tests, lint, type checks, secrets scan.
Scope check
Only the paths it was allowed to change.
A person reviews
Intent, design and fit. Required, not optional.
Merge or stop
Every run logged, either way.
Works with the agent you already picked.
Claude Code, Cursor, GitHub Copilot, Devin, Factory. The loop matters more than the vendor. We don't resell any of them, and you're not locked to us after Stage B.
Best for
- Eng, platform or DevOps teams with agents live, or about to be.
- A review or CI bottleneck you can point to.
- Someone on your side who'll own the loop after we leave.
What we won't do
- Sell you an agent product.
- Turn agents loose without a required human review.
- Promise a productivity number before we've measured yours.
- Build something only we can run.
Not a fit if you only want a chatbot, or if agents will never touch your repos or CI.
Is review the bottleneck on your agent seats?
Tell us how work gets from ticket to merge today. We'll tell you whether Stage A is worth it, or whether you should wait.
From the founder of Quartz IP, which serves 5 of the top 10 US patent filing firms.
learnmore@quickoutcomes.com
(802) 404-1443
Essex Junction, Vermont