Strategy & ROI

How to Pick Your First AI Agent Use Case

A scoring method to choose the first workflow for an AI agent: frequency, time, value and risk.

Written by
AI Agents at Work · editorial team
Last reviewed
Reading time
2 min
Sections
3

The short answer

Score candidate workflows on frequency, time per run, business value and risk. Pick the one with high frequency and value, moderate complexity and low risk of harm.

Key takeaways

  • Collect pain points from teams.
  • Score objectively.
  • Start where cost is clearest.
Part of the complete guideAI Agent Strategy and ROI: A Complete Leader's Guide →

01List candidates

Ask each team for the task they'd most like to stop doing.

02Score them

Frequency × time × value, minus risk. Favour work with clear formats and easy checking.

03Start with the problem

The work costing you time or money is the right starting point—the first principle in how Switch works.

Frequently asked questions

Should we start with customer-facing work?

Internal work is lower risk; customer-facing works with approval.

How many use cases at once?

One first, then expand.

How this guide was made

Written and reviewed by our editors against vendor documentation, public regulation texts and practitioner interviews. We update guides when products or rules change. Tools mentioned may have a commercial relationship with this site; this never decides what we recommend.

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