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Compliance workflows your team can actually follow

Policies only work when people can find them, understand them, and apply them the same way every time. I build AI-assisted compliance workflows that give employees instant, cited answers about policies and procedures — with audit trails for every interaction and human review gates wherever judgment is required.

Sound familiar?

Nobody reads the handbook

Policies live in a 200-page PDF. Employees ask a colleague instead — and get five different answers to the same question.

Exceptions multiply

When procedures are hard to look up mid-task, people improvise. Every improvisation is an inconsistency someone later has to untangle.

Audits are archaeology

Demonstrating compliance means reconstructing what was done and why, from email threads and memory.

Sending policy data to third parties

Generic AI tools route your internal procedures through external APIs — which may itself be a compliance problem.

How I approach it

1

Map the workflows that generate exceptions

Discovery identifies where policy questions actually arise — onboarding, time-off requests, safety procedures, vendor processes — and which carry compliance risk.

2

Ground answers in approved policy only

The assistant answers from your current, approved policy documents, cites the section it relied on, and declines to answer when policy doesn’t cover the case.

3

Log everything, gate the judgment calls

Every question, source, and answer is logged for review. Steps that require human sign-off stay with humans — the system routes and documents, it doesn’t overrule.

4

Keep the data under your control

Deployment options include open-source models on your own infrastructure, so policy content never leaves your environment.

What you get

  • A policy/procedure assistant grounded in your approved documents, with citations
  • Audit-friendly activity logs (what was asked, which sources were used, what was returned)
  • Human-in-the-loop routing for steps that require sign-off
  • A re-indexing process for policy updates, plus handoff documentation and training

Backed by published testing

From 82% to 95% on Existing Hardware — Assessing and Improving an On-Premise AI Assistant

An assessment-first engagement took a regulated, on-premise AI assistant from 82.2% to a deployed 94.8% answer accuracy on the same single GPU — adding a zero-critical-error auto-accept capability that handled roughly 1,100 answers in its first production month.

Read the full study

Fit check: this is workflow tooling, not legal advice — your compliance owners stay the decision-makers. You can see the approach live in the interactive demo on the homepage, including a manufacturing safety-procedure scenario with lockout/tagout gating.

Find out what this would look like for your team

The consultation and initial discovery are free — you get a preliminary recommendation whether or not we work together.

Book a Free Consultation