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AI Workflow Automation

Automated workflows that handle repetitive business processes end to end.

The problem

The same steps happen every day: an email arrives, someone reads it, copies details into another system, notifies a colleague, and sets a reminder to follow up. Each step is small. Together they consume hours and break whenever someone is busy or away.

What gets automated

  • Lead handling and routing
  • Customer follow-up
  • Recurring reporting
  • Internal notifications
  • Data processing and clean-up
  • Administrative workflows

How the system works

A trigger starts the workflow, data is retrieved from your systems, AI interprets anything unstructured, business rules decide what happens next, and the result is written back where your team already works. Every run is logged.

Example workflow
  1. Email or form arrives
  2. AI extracts the details
  3. Rules check completeness
  4. Record created in your system
  5. Team notified
  6. Follow-up scheduled

Systems that can connect

  • Google Workspace
  • Microsoft 365
  • Slack
  • Airtable
  • n8n
  • Make
  • Zapier

Approval and safety controls

  1. 01Validation before anything is written
  2. 02Error handling with retries
  3. 03Alerts when a run fails
  4. 04Run history for every execution

Who this suits

  • · Teams repeating the same admin tasks daily
  • · Businesses where handoffs regularly get missed
  • · Owners who want processes to run the same way every time

Not sure this fits? Find what you can automate.

Talk through your ai workflow automation needs.

A discovery call walks through one workflow: how it runs today, what it touches, and what could be automated.

  1. Your process
  2. Mapped
  3. Automated
  4. You approvehuman check
  5. Done