Live
Agent Launch Sprint
One production AI agent for one workflow, shipped in 10 working days by a forward-deployed engineer.
The split
- LLM writes
- Drafts replies, summaries and documents
- System One decides
- Routes, scores, approves and escalates
- Code executes
- Calls APIs, prepares payments, writes records, sends notifications
Engine
Claude-class models for generation, a System One model for every routing and approval decision, plain code for anything exact; evals built from your 20 examples before launch.
Rulebook
What correct means here, and the mistakes we've already caught. It grows one job at a time.
- R01No launch without an eval set built from real examples and a pass rate agreed in writing.
- R02Every tool that writes, sends or pays has an approval path and a spend limit.
- R03Every decision is logged with model version, probabilities and confidence.
- R04Ship read-only first; add write actions one at a time behind approvals.
- R05Handover includes a runbook a non-engineer can follow.
Intake
- The workflow, its volume, and who does it today
- Access to the systems it touches (read-only first)
- What correct looks like, with 20 real examples
- Approval rules
- UNIT
- One agent in production for one workflow
- REVIEW LAYER
- The client approves eval results before go-live; we read the decision log daily for two weeks.
- DELIVERY
- Agent live on your channel, eval report, decision dashboard, runbook, 14 days of hypercare.
- TURNAROUND
- 10 working days
How we find buyers
- Audits convert into sprints
- Case-study threads with real metrics
- Referrals from ecosystem partners and accelerators
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