What this solves
Find the highest-leverage workflows to automate before spending on tools. The point is not to buy a shiny model subscription. The point is to remove expensive drag from work that repeats every week.
What we do
- Map the current workflow and tools.
- Identify automation candidates with clear business value.
- Prototype the highest-confidence path first.
- Keep humans in the loop where judgment, trust, or compliance matter.
- Leave behind documentation so the workflow can be maintained.
What we need from you
- Sample inputs or representative workflow examples.
- Access to the tools involved, or exports/screenshots where access is not appropriate.
- A decision owner who can approve scope and tradeoffs.
Risks and constraints
AI automation fails when the process is undefined, the data is messy, or nobody owns exceptions. We surface those problems early instead of burying them under demos.