AI-first operations / live

AI Implementation and Automation

A scoped implementation service that starts with an audit, picks one high-ROI workflow, builds it in Make, n8n, Zapier, or code, and maintains it with monitoring.

Outcome

Automation workflows that connect existing systems, call AI where useful, and reduce manual execution.

Who buys it

Small and midsize companies with manual workflows across CRM, calendar, support, documents, and spreadsheets.

Customer receives

  • Workflow audit
  • Automation design document
  • n8n, Make, Zapier, or custom implementation
  • Failure monitoring and logs
  • Runbook and maintenance plan

Automated delivery workflow

  1. Document the current manual process.
  2. Select the highest ROI workflow.
  3. Build the trigger, AI step, integrations, and fallback path.
  4. Test edge cases and failure alerts.
  5. Monitor and improve after launch.

Modular deployment modules

  • intake-normalization
  • workflow-mapping
  • automation-provisioning
  • handoff-and-escalation
  • operational-reporting

Approval gates

  • System validates every required intake answer and customer authorization.
  • System provisions only customer-owned assets, credentials, and approved claims.
  • System runs the offer acceptance checks before marking delivery live.

Fit notes

Best for: Businesses with a clearly repetitive workflow.

Not for: Messy systems with no process owner or no API path.

Source themes: Dan Martell implementation agency, Path B automation agency