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.
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 recordsacross 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
Held for a person. Same name, different address, and the match is below the auto-merge threshold. Is the Dock St record the same company as the Mill Rd one?
Tomorrow's jobsThe agent can only draft. It cannot send.
No schedule yet. Run the draft and watch the agent work.
DispatcherNothing goes to technicians until a person approves it.
Draft the schedule in step 2 first.
AuditEverything 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 log0 events
Info
Done
Warning
Failure
Self-healed
Person
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.
Week 1
Audit
I sit with your team, trace the work, and measure the leaks before I touch anything.
Weeks 2–3
Fix
Process and data fixes first. Each change ships with a before and after number.
Weeks 3–5
Connect
One agent at a time, each with a narrow job, limited access, and a named approver.
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.
EngagementWhat happensLength
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.