Services

Three jobs, done in order: process, data, then agents.

Agents fail on messy data and broken process, so the work starts there. Each engagement ends with evidence, priorities, and a documented handoff.

Hours leak out of work nobody has mapped.

Workflow and tech optimization

I trace how work actually moves through your team, find where time and accuracy are lost, and fix it by removing steps, merging tools, or automating what is left. Each change ships with a before and after measure.

Capabilities

  • Process mapping against how the team really works
  • Tool stack review and consolidation
  • Approval and handoff redesign
  • Automation of repeated manual steps

Typical output

  • Ranked fix list with hours saved per item
  • Updated process maps and runbooks
  • Handoff your team can maintain

Nobody trusts the numbers.

Data hygiene

Customer, job, and inventory records cleaned, merged, and kept clean by rules instead of by heroics. Agents and reports are only as good as the data under them, so this comes before anything is automated.

Capabilities

  • Duplicate, stale, and conflicting record cleanup
  • Naming, field, and ownership standards
  • Validation that flags bad entries at the point of entry
  • A single source of truth across CRM, spreadsheets, and finance tools

Typical output

  • Cleaned and merged data with a change log
  • A one-page data standard
  • Entry checks your team can maintain

A demo is not production.

Agentic availability

Making your systems reachable by AI agents with the right access, the right limits, and a human in the loop. When the data cannot leave your environment, the same work runs on private or local models.

Capabilities

  • Documented, permissioned access to your tools, including MCP servers
  • One scoped agent per job, each with a named approver
  • Evaluation and regression tests for agent behaviour
  • Audit trail and rollback path for every run
  • Private or local deployment when data cannot leave

Typical output

  • Working agent in your environment
  • Boundary and escalation rules
  • Evidence trail and review process

Start an engagement

Start with where the week goes.

Describe how work moves through your team today. The first step is a 30-minute ops review to find the biggest leak and decide whether the work is a fit.

Discuss the scope

Clearance · Field operative

Dangerous to go alone.

Take a friend.

+1 battle buddy
Open the GitHub