Engagement
AI Workflow Accelerator
From manual process to production-grade AI automation in 6–8 weeks.
You have a workflow that currently requires hours of skilled human attention per cycle — document review, data extraction, compliance screening, report generation. You know AI should be able to handle it. The gap is getting from 'the demo works' to 'this runs reliably in production.'
This is for you if
- Operations and engineering leaders at firms deploying AI in regulated workflows
- Teams that have a working prototype but can't ship it due to reliability or compliance gaps
- Organizations where a single workflow failure has material business or legal consequences
What you get
Scoped workflow definition with input/output specification and edge-case inventory
Evaluation framework: labeled test set + automated regression suite for your specific task
Production pipeline: inference, retrieval (if applicable), confidence routing, and human-in-the-loop gate
Audit trail implementation: immutable decision log with trace IDs and model versioning
Reliability baseline: false positive rate, calibration metrics, and OOD performance on your data
Handoff documentation: architecture decision record, runbook, and ongoing monitoring checklist
Timeline
6–8 weeks from scoping call to handoff
Engagement type
Fixed-scope project. Remote, async-first with weekly syncs.
Pricing
Engagement pricing available on the discovery call. Structured as a fixed-fee project, not hourly.
The outcome
A production-deployed AI workflow that your team owns, with the evaluation infrastructure to know when it's working and a documented path to expand it.
20-minute call. No commitment. I'll tell you plainly if this engagement is the right fit.