AI operations for small and mid-size teams

Your business, running on clean data and agents you can trust.

I fix the workflows that slow your team down, clean the data behind them, and make your systems ready for AI agents to work safely. Scoped engagements, a named owner for each automation, and a plan for getting back if something goes wrong.

What I do

Agents fail on messy data and broken process. So that comes first.

Full service detail

Pillar 1

Workflow and tech optimization

Find where hours leak out of your week, then remove the step, merge the tool, or automate it.

  • Process map of how work really moves
  • Tool stack review and consolidation
  • Handoffs and approvals rewritten

You get: a ranked fix list with hours saved per item

Pillar 2

Data hygiene

One source of truth for customers, jobs, and inventory, kept clean by rules instead of by heroics.

  • Duplicate and stale record cleanup
  • Naming, field, and ownership standards
  • Checks that flag bad data on entry

You get: a CRM and spreadsheets your team stops arguing with

Pillar 3

Agentic availability

Make your systems reachable by AI agents with the right access, the right limits, and a human in the loop.

  • Documented, permissioned access to your tools
  • Agents scoped to one job each
  • Logs, approvals, and a rollback path

You get: agents doing real work, with an audit trail

See it work

Illustrative example

Field-services company, 40 people

Customer records sit in three places, and dispatch re-keys jobs by hand every morning. Run each step and watch the log underneath, including what fails and how it recovers. The company, names, and jobs are invented.

8 records across a CRM and two spreadsheets

  • CRMHarlow Plumbing Supply14 Mill Rd
  • Sheet AHarlow Plumbing14 Mill Road
  • Sheet BHARLOW PLUMBING SUPPLY LLC14 Mill Rd
  • CRMBirchwood Dental220 Elm St
  • Sheet ABirchwood Dental Group220 Elm Street
  • CRMCedar & Pine Property Mgmt9 Quay Ln
  • Sheet BCedar Pine Property Management9 Quay Lane
  • Sheet AHarlow Plumbing Supply301 Dock St

Tomorrow's jobs The agent can only draft. It cannot send.

    No schedule yet. Run the draft and watch the agent work.

    Dispatcher Nothing goes to technicians until a person approves it.

      Draft the schedule in step 2 first.

      Audit Everything above is recorded, and the batch can be reversed.

      Events logged
      0
      Failures caught
      0
      Self-healed
      0
      Person decisions
      0

      Run steps 1 to 3 and the audit fills in.

      Live run log 0 events

        Nothing has run yet. Start with step 1 and the activity appears here, one line at a time.

        A composite, not a client, with invented data. Client work is published only with written permission.

        How I operate

        Short cycles. Evidence at every step.

        1. Week 1

          Audit

          I sit with your team, trace the work, and measure the leaks before I touch anything.

        2. Weeks 2–3

          Fix

          Process and data fixes first. Each change ships with a before and after number.

        3. Weeks 3–5

          Connect

          One agent at a time, each with a narrow job, limited access, and a named approver.

        4. Ongoing

          Hand off

          Runbooks your team can follow, plus an optional monthly tune-up.

        Who approves

        A named person on your team.

        Agents do not approve their own work. Money, customer messages, and deletions go to a person by default.

        Where it runs

        Reversible first.

        New automations start on copies and test data. Production access comes once they have proven themselves.

        What it can reach

        The narrowest access that works.

        Each agent gets its own credentials, scoped to one job, so access can be revoked without touching anything else.

        Ways to work together

        Defined scope. No open-ended retainers unless you want one.

        Ops audit

        Process and data review with a ranked fix list and a readiness score.

        1–2 weeks
        Cleanup sprint

        Workflow fixes and a full data cleanup against the audit list.

        2–4 weeks
        Agent rollout

        One to three scoped agents live, with approvals, logs, and runbooks.

        3–6 weeks
        Monthly ops partner

        Ongoing tune-ups, new automations, and a standing review of what agents did.

        Monthly

        Typical lengths. Each engagement is scoped and quoted after a first conversation.

        Free self-check

        Is your business ready for agents?

        Agent readiness self-check

        Your score

        0 / 6

        Tick a box to begin.

        Talk through your score

        Impact

        Enterprise-scale operations discipline, applied to your team.

        Read the case study

        Rounded, public-safe figures from past enterprise operations work. No employer or system names.

        Start an engagement

        Thirty minutes. One leak found, free.

        Tell me how work moves through your team today. You leave with the first fix, whether or not we work together.

        Discuss the scope

        Clearance · Field operative

        Dangerous to go alone.

        Take a friend.

        +1 battle buddy
        Open the GitHub