AI agents that do real work, with humans in control
Most AI agent projects stall between demo and production because nobody designed for failure, approvals, or audit. I build agent systems the way fintech systems are built: explicit states, human sign-off where it matters, and a log of every decision.
What I've designed
- A claims-automation system with an orchestrator and 9 specialized sub-agents, a state machine, 6 human approval gates, and a full audit log
- Sales and support agents that have answered 1M+ customer conversations (LinkfliQ)
- RAG over company documents
- Voice-to-text pipelines that cut QA effort 60% (Emtropy Labs)
Good first projects
- Document intake and extraction
- Support triage and draft replies
- Ops back-office workflows
- Internal knowledge assistants
How we work
Audit, pilot, then run it.
Workflow audit
Fixed fee, credited.
Pilot on one workflow
From $10,000, 4–6 weeks.
Managed operations
From $1,500/mo.
Next step
Book a workflow review.
Bring one workflow. You'll leave with whether an agent fits it, and what a pilot would cost.
Audit fee credited to your build · NDA on request
Launch audit$500
- A plain-English verdict: keep, fix or rebuild the risky parts
- Every issue ranked: what could lose you money or users first
- A backend and review check: data rules, exposed keys, payment webhooks, and Apple's and Google's top rejection reasons
- A fixed price to get you live
Credited to your buildFree · no call needed