HR AI Workflow Diagnostic
Find the one workflow worth fixing before you buy another tool or automate the wrong thing.
- Operator interviews and friction map
- Risk, data, and human-review boundaries
- Prioritized pilot recommendation
Agentic HR, built for operating reality
I turn messy HR operations into auditable, human-reviewed AI workflows—designed around the work your team actually does.
A workflow, made legible
Not another chatbot.
Not autonomous HR.
A working system with owners, evidence, review gates, and receipts.
Services
Start narrow. Prove the workflow. Add complexity only when the work earns it.
Find the one workflow worth fixing before you buy another tool or automate the wrong thing.
Turn one painful People workflow into a usable, human-reviewed operating loop.
Keep the system useful as your sources, policies, teams, and models change.
Built, not theorized
These offers come from working OpenClaw patterns and a private HR Mission Control alpha—not a deck of hypothetical use cases.
Compliance intelligence
A monitoring loop that scans employment-law sources, separates signal from noise, assigns an owner, and carries the issue through review, policy work, implementation, and proof.
Policy & knowledge systems
A policy assistant pattern that cites approved sources, separates law from written policy and operating practice, names missing facts, and escalates ambiguity instead of guessing.
HRBP decision support
A decision brief that turns fragmented People signals into facts, risks, manager follow-ups, open decisions, and the next questions an HRBP should pressure-test.
Private alpha proof
A recent HRMC regression and stability pass tested source recall, renamed-law continuity, edge cases, and the operator path end to end.
The method
We start with operator pain, cycle time, dropped handoffs, and real risk—not a tool demo.
Judgment, sensitive People decisions, legal interpretation, and accountable approval remain visible.
Sources, missing facts, owners, edits, approvals, and exceptions become part of the workflow.
Every build gets a verifier, failure tests, a stop condition, and a handoff an operator can actually use.

About Mike
Alongside my HRBP work, I build agentic HR systems in OpenClaw: HR Mission Control, employment-law monitoring and implementation loops, source-backed policy workflows, and decision briefs that turn scattered People signals into owners, questions, and next actions.
This advisory practice sits at the intersection of those two tracks: lived HR operating judgment and working AI prototypes. The goal is not to automate People decisions. It is to give human judgment better infrastructure.
Start here
Tell me where the work breaks, what gets dropped, and which decision still depends on one person remembering the whole story.
Book a 1:1 consultation Prefer email? mike@mikewinkleradvisory.com