Evidence before fluency
Approved sources, visible uncertainty, and citations should travel with the output.
Mike Winkler · Chicago
I build bounded, auditable, human-governed agentic AI workflows for HR—especially compliance monitoring, People Operations, and HRBP decision support.

My background is in senior People Business Partner work: the part of HR where facts are incomplete, policies meet operating reality, and a human still has to own the judgment. That experience shapes how I use AI.
I do not begin with a generic chatbot or a promise to automate HR. I begin with one recurring workflow, map its sources and failure points, name the accountable owner, and define what a system may prepare, what it must escalate, and what it must never decide.
OpenClaw is one framework I use in an independent build lab. The consulting work is framework-agnostic: the right implementation depends on the client's systems, security requirements, data boundaries, and technical ownership.
Approved sources, visible uncertainty, and citations should travel with the output.
The person accountable for the outcome must be able to change, stop, or reroute it.
Start with synthetic or approved low-sensitivity inputs and one narrow acceptance test.
Start with one workflow
We will map where context disappears, what the system may prepare, and which judgment must stay with an accountable person.
Discuss a workflow ↗