Who this is for
Teams whose core work is completing regulated paperwork at volume: visa applications, insurance intake, patient onboarding, lending applications, where a wrong field costs weeks and "the AI guessed" is not an acceptable incident report.
The difference
Most AI projects bolt a chatbot onto a form. These agents own the outcome: structured output at every step, validation before anything is submitted, and a hard stop to a human reviewer the moment confidence drops.
How an engagement runs
Map the workflow
One to two weeks watching how the work is actually done: the forms, the systems of record, where errors happen, and which decisions genuinely require a person.
Prove it on one form
A working agent on the single highest-volume document, running against real data in a sandbox, with the validation and escalation paths in place from day one.
Integrate and harden
Internal API connections for data already on file, audit logging on every decision, review queues for held submissions, and load testing before anything touches production.
Run and extend
Production rollout with monitoring, then the next form. Your team owns the code and the documentation; I stay available on retainer or hand off cleanly.
What you receive
- A production agent your team owns: code, infrastructure, documentation
- Validation rules written down as code you can read and test
- An audit trail for every field the agent filled and why
- A review queue and escalation path your staff actually uses
- A written runbook for operating and extending the system
- Weekly written progress notes throughout the engagement
Case studies
An agent that completes visa filings
An AI agent fills visa applications from the applicant's documents, and a browser extension carries them into official portals that have no API.
Let's look at your system.
Bring one problem. In 30 minutes we'll see what it would take, and whether I'm the right person for it.