03 / Move the work

Automate the task.
Keep the judgment.

For teams repeating the same copying, routing, checking, drafting, or reporting across tools—and ready to define what should happen when the normal path breaks.

The problem

Repetition is only half the brief.

A reliable workflow also needs valid inputs, ownership, review, retries, and a visible failure path. AI belongs only where its variability can be contained and checked.

  • People move the same information between tools by hand.
  • Automation works on the happy path but fails silently at the edges.
  • AI is proposed before the task, evidence, and review rule are defined.

What we deliver

A workflow your team can inspect.

  • Current-state map, value case, and focused implementation scope.
  • Tool connections, rules, data transformations, and notifications.
  • Narrow AI steps with prompts, evidence, confidence, and human review where useful.
  • Test cases, failure handling, ownership, and handoff documentation.

Process

Build the smallest useful path.

We can work with n8n, Make, Zapier, common business tools, and custom APIs when the workflow justifies them. Tool choice follows the operating need.

Model

Define the trigger, decisions, data, exceptions, owner, and value.

Build & test

Implement the focused path and exercise ordinary and failure cases.

Hand over

Document credentials ownership, monitoring, recovery, and future changes.

Proof and boundaries

No “AI everywhere” promise.

We do not present probabilistic output as certainty or remove human approval from high-impact decisions without an explicit, tested reason. Platform availability and third-party APIs remain external dependencies.

Automation & applied AI

Bring one recurring task.

Describe the trigger, the tools, the current manual steps, and what a useful outcome would look like. We will test whether automation is worth it before expanding the scope.

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