HR workflow design and bounded AI pilots

Build the workflow.Keep the judgment.

I help People teams turn one recurring, hard-to-run process into a workflow with clear intake, trusted sources, named owners, human review, and a record of what happened.

Sometimes that includes AI. It never includes handing AI an employment decision.

One workflow at a timeSynthetic or approved dataA human owns the decision

How I approach the work

Human decisionretained

Clear intake and ownership.

Sources and review rules.

Human decisions stay human.

Services

Fix the work before adding the tool.

We start with the process, its evidence, and the person accountable for the outcome. If a prototype is not justified, the recommendation can be not to build one.

01Typically 2–3 weeks

HR Workflow Diagnostic

Map one workflow, find where context or follow-through breaks, and decide whether a pilot is worth building.

  • Current-state workflow and failure points
  • Source, data, decision, and human-review boundaries
  • Prioritized pilot or no-go recommendation
  • Measurable acceptance criteria
02Typically 4–6 weeks after diagnostic

Bounded Workflow Pilot

Build and test one functional prototype using synthetic, public, or explicitly approved low-sensitivity data.

  • Intake, routing, review, and handoff
  • Sources and decision rules
  • Test cases, failure cases, and user acceptance testing
  • Operator guide and production-readiness gaps
Timing excludes production integrations, security or privacy approval, procurement, and migration of sensitive employee data.
03Monthly or fixed sprint

Pilot Review & Iteration

Review exceptions, test changes, and decide what should be improved, handed off, or stopped.

  • Operator feedback and exception review
  • Source, rule, and model-change checks
  • Regression testing and known-limit review
  • Next-use-case or stop recommendation

Good work starts with a clear fit

A narrow problem, a real owner, and room to test.

The strongest engagements are not “bring AI into HR.” They start with a recurring operating problem that a real team is prepared to examine and own.

A good fit

  • The same workflow breaks repeatedly—not just once.
  • A named HR owner can review the work and make the decision.
  • The team can start with public, synthetic, or sanitized material.
  • A small pilot would answer a real operating question.

Not a fit

  • You want AI to make employment decisions on its own.
  • You need a company-wide production platform in a few weeks.
  • There is no technical, security, or business owner for production.
  • The underlying policy or decision rights are still unresolved.

Independent build lab

Built proof, clearly labeled.

HR Mission Control is a private alpha I use to test HR workflow patterns. The public library documents selected non-sensitive patterns. Each item is labeled as built, specified, or documented. It is proof of a working method—not a claim that the software is production-ready for a client.

Built · private alpha

Compliance source-to-action workflow

From a defined source list to an accountable next step.

HR Mission Control monitors selected sources, prepares review packets, assigns ownership, and preserves human decisions through policy work, implementation, and closeout. It is early-warning and workflow support—not legal advice or a claim of complete legal coverage.

  1. 01Source
  2. 02Packet
  3. 03Human review
  4. 04Artifact
  5. 05Implement
  6. 06Close
Prototype specification

Policy answers with citations

Structure the answer and make uncertainty visible.

This pattern organizes an answer around approved sources, missing facts, and escalation rules. Sensitive questions, conflicting sources, and legal interpretation stay with accountable HR and Legal reviewers.

  1. 01Question
  2. 02Retrieve
  3. 03Compare
  4. 04Cite
  5. 05Escalate
  6. 06Record
Documented pattern

HRBP weekly decision brief

Bring scattered signals into one reviewable brief.

This pattern organizes facts, open questions, owners, manager follow-ups, and unresolved decisions for HRBP review. It supports judgment; it does not make decisions about employees.

  1. 01Inputs
  2. 02Facts
  3. 03Questions
  4. 04Owner
  5. 05Review
  6. 06Follow-up

Case study · July 2026 private alpha

A source changed. The earlier decision disappeared.

During testing, a tracked legislative item changed titles after a source update. HRMC displayed it twice: one version retained the earlier watch decision, while the refreshed version appeared undecided. An HR team could repeat the review, assign two owners, or send the same issue down conflicting paths.

What I changed

I added stable case identity so the human decision follows the case when source text changes. Then I wrote regression tests and reran the relevant workflow checks.

Before

A source-title change created two cases and split the decision history.

After

Stable identity keeps the review, owner, and decision attached to one case.

Review the public workflow library

Before I build

Four questions that keep the work honest.

01

Where exactly does the work break?

We identify the real failure point: intake, missing context, ownership, handoff, timing, or follow-through.

02

Which decisions stay human?

Sensitive People decisions, legal interpretation, policy approval, and accountable judgment remain with named reviewers.

03

What evidence follows the case?

Sources, missing facts, owners, edits, approvals, exceptions, and next steps stay attached where they matter.

04

What would make us stop?

For a scoped pilot, I define acceptance checks, edge cases, stop conditions, known limits, and an operator handoff.

Working boundaries

What a responsible engagement includes—and what it does not.

What do you mean by a working pilot?

A functional prototype for one narrow workflow, tested with the people who would use it. It includes review rules, test cases, known limits, and an operator handoff. It is not the same as a production deployment.

What data do you use?

Discovery starts with the current process and a small set of sanitized artifacts. Demos use synthetic or public data. Any work with live company data requires a client-approved environment, named access, and agreed retention rules.

Is this legal or compliance advice?

No. I can help structure monitoring, intake, evidence, routing, and follow-through. Qualified HR and Legal reviewers remain responsible for applicability, interpretation, policy decisions, and approval.

Who owns production deployment?

The client’s technology, security, privacy, and engineering owners do. I define the workflow, build and test the bounded prototype, document the gaps, and support a responsible handoff or joint implementation plan.

Do we have to use OpenClaw?

No. OpenClaw is the framework I use in my independent build lab. The engagement starts with the workflow and its constraints. The right implementation depends on the client’s systems, security requirements, and technical ownership.

What happens on the first call?

We spend 30 minutes on one workflow: where it starts, where it breaks, who owns the decision, and what a useful next step would be. No sensitive employee data and no polished pitch deck are needed. If I am not the right fit, I will say so.

Mike Winkler, founder of Mike Winkler Advisory
Mike WinklerHR operator · systems builder

About Mike

HR judgment first. The build follows.

I'm a Senior People Business Partner who builds. I work close to the moments where People operations get difficult: competing context, unclear ownership, time pressure, and decisions that need a real person behind them.

I built HR Mission Control independently, outside employer systems, using public and synthetic inputs. It gives me a place to test where AI can support the workflow without owning employment decisions. I bring that same discipline to advisory work: understand the work, preserve the human boundary, test the hard cases, and be honest about what is not ready.

Senior People Business PartnerOpenClaw / HRMC builderWorkflow diagnosis & prototyping

Start here

Bring me the workflow that still lives in someone's memory.

Tell me what gets dropped, where context disappears, and who has to reconstruct the whole story every time.

Discuss a workflow

A 30-minute working conversation. No sensitive employee data and no pitch deck required.

Prefer email? mike@mikewinkleradvisory.com