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AI Agent Decisions · The Power of Agentic AI Policy

Automotive Sales & Service

What an agent could do

Coordinate repair delays, scarce parts, and customer commitments.

The decision underneath

Can it prioritize one vehicle or authorize additional expense?

From idea to use case

01

Where most ideas start

"Use AI to improve vehicle service."

✕ Too vague

Make it specific

02

A workable use case

We want an agent to spot vehicle repairs likely to miss a promised collection date because of delayed parts or workshop capacity, check alternative parts and appointment options, and propose a revised repair plan and customer update before the commitment is missed.

Measure it

03

How you'll know it works

If the agent really helps, these numbers should change. Measure them before it goes live, then again after:

Repairs completed on time; Time to resolve parts delays; Repeat customer contacts

Then decide

04

The decision to make first

May it reserve a scarce part for one vehicle or authorize expedited shipping to protect a promised handover? What spending or priority changes require a service manager’s approval?

Settle this before the agent goes live, not after.

Your turn

05

Now make it yours

Pick a business problem in your organization that is expensive, slow, risky or frustrating. Then work through these four questions, as in the workshop:

1

What business problem are we solving?

2

Who would sponsor this, and why?

3

What measurable business result should change?

4

What would make this difficult to scale here?

?

Quick test: task or decision?

Is this only a task you want AI to perform, or a business decision you want an agent to help make or execute?