Find the workflows worth automating with AI.
A review of tasks, data, exceptions, and decision points to locate realistic AI opportunities.
Map my workflows ↗When this is useful
People repeatedly read, classify, draft, or move information across tools without a clear automation boundary.
What we examine
Workflow volume, inputs, error cost, permissions, human review, integrations, and an evaluation baseline.
How the engagement moves
We map one or more workflows with the people doing them, test assumptions against examples, and define a narrow pilot.
What you receive
An opportunity map, ranked use cases, a first experiment, and explicit reasons to avoid unsuitable use cases.
Agree what completion means.
Before work starts, we confirm the scope, access, deliverables, fee, and the person who reviews the result. Findings and remaining unknowns should support a clear next decision.
What remains under your control
People retain consequential approvals; model output is checked against agreed criteria before automation expands.
One possible application
A quote-intake process might benefit from extraction and triage while leaving pricing approval with a person.
This illustrates the kind of work; it is not a claimed client result.
Before we begin
How is the scope agreed?
We start with your context and the decision you need to make. We confirm the work, access, deliverables, turnaround, and fee before beginning. A larger implementation is a separate scope decision.
What should I bring?
Access to workflow owners and representative non-sensitive examples.
What does your review or build leave with us?
An opportunity map, ranked use cases, a first experiment, and explicit reasons to avoid unsuitable use cases. People retain consequential approvals; model output is checked against agreed criteria before automation expands.
Show us what needs to change.
Share the current workflow, the result you need, and what you have already tried.
Map my workflows ↗