One workflow. In production. In under 90 days.
Most enterprise AI never leaves the pilot. We pick one named, high-value workflow and take it end-to-end — evaluated, monitored, audited, and tied to a number your CFO already tracks. Fixed scope · 8–12 weeks
Not a demo. A workflow that runs every day.
A demo proves a model can do the task once. A production sprint proves it can do the task ten thousand times, under audit, without you watching. That is the entire deliverable.
- One workflow, end-to-end, in production. Not a sandbox. The agent runs against the systems and data your team uses on Monday morning.
- An evaluation framework from day one. A scored test set that says, objectively, whether the agent is good enough to ship — and stays that way.
- Drift monitoring. Continuous checks that catch quality decay before your users do, not three weeks after.
- Human-in-the-loop tooling. Clear escalation, review queues, and override controls so a person owns every edge case the model should not.
- A complete audit trail. Every decision the agent makes is logged, attributable, and defensible to a regulator or an internal reviewer.
- A defined, measured ROI target. One number, agreed before we build, measured after we ship. Where that metric is clean, we price against it.
Alongside your team by day 21. Production by week twelve.
No open-ended discovery. The cadence is fixed, the gates are explicit, and you see working software inside the first month.
Wedge & instrument · wk 1–2
Lock the one workflow, agree the ROI metric, and instrument the current process so we have a real baseline to beat — not a guess.
Build the spine · wk 3–4
Stand up the agent against your real systems and data. Evals are written here, not at the end, so quality is measurable from the first commit.
Alongside & harden · wk 5–10
Run the agent alongside your team against live traffic. Tune against the eval set, wire up human review, and close the gap between demo-good and production-good.
Ship & compound · wk 11–12
Cut over to production with drift monitoring live. Measure the agreed ROI number, then map the next adjacent workflow to compound the win.
The gap is discipline, not models.
88% of AI proofs-of-concept never reach production (IDC, 2025). The sprint exists to put your workflow in the other 12% — running alongside your team in 21 days, hardened for production by week twelve.
- Evals before code. A scored test set defines "good enough" up front, so shipping is a decision backed by data, not a vibe.
- Drift monitoring. Production quality is watched continuously, so silent regressions surface in hours, not quarters.
- Audit trails. Every action is logged and attributable — the precondition for using an agent anywhere regulated.
- Human-in-the-loop. A person owns the edge cases by design, which is what lets the business actually trust the automated path.
Evals on day one is the difference between the 12% that ship and the 88% that do not.
Pick the one that bleeds money slowly.
The best first sprint is a high-volume, document-heavy, rule-bound workflow where the cost of the status quo is already measured — so the ROI is impossible to argue with. A few we have a clear path on:
Claims processing
Triage, extract, and adjudicate first-notice-of-loss against policy terms — with every decision logged and a human owning the exceptions.
Learn moreMortgage underwriting
Read the file, check it against guidelines, flag conditions, and route to a human at the line that matters — auditable end to end.
Learn moreDenials & appeals
Spot denied claims, draft the appeal against payer rules, and recover revenue that today quietly ages out of the window.
Learn moreWe share the outcome risk.
If a Production Agent Sprint misses the ROI target we set together — measured against a baseline agreed at kickoff — we keep working at no additional fee until it hits. And the diagnostic that precedes it — the AI Readiness Map — is refundable if it doesn't surface a workflow worth $200K+ (SMB) or $500K+ (mid-market and above) in annual value. We put our fee where our thesis is.
Straight answers.
How long does a Production Agent Sprint take?
8 to 12 weeks, depending on workflow complexity, from signed SOW to a production agent.
What's the price?
$24,000 fixed for the SMB starter sprint; $65,000–$95,000 fixed at mid-market — both 12 weeks, per workflow. Enterprise programs from $250,000. Where the ROI metric is unambiguous, we also price to the outcome.
What do we get at the end?
One named workflow running in production, with an evaluation framework, drift monitoring, human-in-the-loop tooling, an audit trail, and a measured ROI target.
Do you build on our stack?
Yes. The agent is engineered to integrate with the systems and data you already use, not to demo in isolation.
Name the workflow. We'll ship it.
Bring one painful, high-volume process and a number you want to move. We'll tell you in the reply whether it's a clean first sprint.