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AI automation template

Workflow audit template for AI automation

Use this audit template to identify which workflows are worth automating first and which ones need cleanup before AI is added.

Check readiness
Copyable template

Fill in these sections before implementation

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Section 01

Current workflow map

Describe how work happens today without assuming the process is clean.

Fields to fill

Trigger
Manual steps
Owner by step
Tools used
Handoffs
Current turnaround time

Section 02

Friction score

Score the workflow based on delay, repetition, error risk, and customer impact.

Fields to fill

Monthly volume
Average time per run
Error frequency
Customer-visible delay
Revenue impact
Employee frustration

Section 03

Automation fit

Decide whether AI should draft, classify, route, update, summarize, or escalate.

Fields to fill

Best AI action
Rules clarity
Data readiness
Human review need
Risk level
Integration access

Section 04

Priority decision

Compare effort and impact before selecting the first build.

Fields to fill

Expected hours saved
Implementation effort
Safety concern
Measurement plan
Recommended priority
Next step
Pre-build checklist

Confirm before you hand this to a builder

Volume is known
Manual time is estimated
Data sources are listed
Risk is scored
ROI path is clear
Next owner is named
Answer-ready FAQs

Questions this template answers

How do I audit a workflow for AI automation?

Map the current steps, measure volume and time, identify handoffs and errors, check data readiness, score risk, and choose the highest-value workflow with clear rules.

What makes a workflow a good AI automation candidate?

Good candidates are repeated often, use consistent inputs, follow clear rules, create measurable value, and can escalate exceptions to a human owner.

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