See the real workflow
Trace one recurring job from intake to outcome, including tools, handoffs, exceptions, and ownership.
For teams already paying for AI
Your AI stack is not the problem. Your workflow is.
Before you buy another agent, find the handoff, data, or ownership gap that is making your current tools fail. Flow turns that uncertainty into one small, reviewable pilot.
Not a promise of full automation. A practical way to decide whether a small, human-reviewed workflow can actually work.
The recovery method
Start where work breaks, not where AI looks impressive.
The first useful deliverable is a shared picture of how a request moves through your team, where its data changes, and who gets the final say.
Choose one safe edge
Pick a narrow task where a wrong answer can be caught by a person before it reaches a customer or system of record.
Measure before expanding
Use a clear acceptance check, an audit trail, and a short observation period before deciding whether to automate more.
Two-minute signal check
Where is your workflow most likely to fail?
Answer for one repetitive customer or operations task. This is a decision aid, not an automated assessment.
What this is and is not
A useful agent has a boundary.
- It isA workflow map, a narrow pilot choice, and a reviewable output path.
- It is notA promise that one agent will run an entire business unattended.
- It measuresClarity, data readiness, reviewability, and pilot scope before tool selection.
- It protectsCustomer-facing work by keeping a responsible human inside the loop.
Make the next move smaller
Find one workflow worth recovering.
Send a short description of the task, the tools involved, and where it gets stuck.