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Automate the repetitive decisions, not just the repetitive tasks.

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Rules-based automation breaks on the messy, judgment-heavy steps — so those stay manual and slow.

We build automation with AI decision points where rules fall short, keeping a human-in-the-loop fallback for the edge cases.

  1. Step 1

    Map the workflow and its manual decision points

  2. Step 2

    Automate the deterministic steps first

  3. Step 3

    Add AI reasoning where rules can't cope

  4. Step 4

    Route exceptions to a human with full context

  • A mapped workflow with the manual decision points automated
  • Integrations across the tools your team already uses
  • Human-in-the-loop fallback for edge cases
  • Monitoring so you can see what ran, when, and why

  • Python
  • Node.js
  • Express
  • Zapier / n8n
  • MongoDB

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We start with the highest-volume, most repetitive decision or task — the one costing your team the most hours — rather than a vague enterprise-wide initiative.

Every workflow ships with a human-in-the-loop fallback and logging, so exceptions are routed to a person instead of failing silently.

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Send us a process that eats your team's time and we'll map the automation.

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