automation-audit

name	automation-audit
description	Audit workflows for automation — task inventory, repetition frequency, complexity scoring, tool selection, ROI estimation, and implementation priority. TRIGGER when: user says /automation-audit or asks about automating repetitive tasks.
argument-hint	[workflow or team to audit]
user-invocable	true

Automation Audit

Process

Step 1: Inventory Tasks

Task	Frequency	Duration	Who	Automatable?
[task]	Daily/Weekly/Monthly	X min	[role]	Full/Partial/No

Step 2: Score Automation Potential

Criteria	Weight	Score (1-5)
Repetition frequency	25%	Higher = more frequent
Rule-based (vs judgment)	25%	Higher = more rule-based
Error-prone	20%	Higher = more error-prone
Time consuming	15%	Higher = more time
Data availability	15%	Higher = more structured

Step 3: Estimate ROI

Task	Hours/Month	Automation Cost	Payback Period
[task]	X hours	$X (one-time)	X months

Step 4: Select Tools

Approach	Examples	Best For
No-code	Zapier, Make, Power Automate	Simple integrations
Low-code	Retool, n8n	Data workflows
Scripts	Python, Bash	Technical teams
RPA	UiPath, Automation Anywhere	Legacy system interaction
AI/LLM	Claude, GPT	Unstructured data processing

Step 5: Prioritize Implementation

Priority	Task	ROI	Effort	Confidence
1	[task]	High	Low	High

Output Format

## Automation Audit: [Scope]
### Inventory: [Task list with automation scores]
### Top Opportunities: [Ranked by ROI]
### Tool Recommendations: [Per task]
### Implementation Plan: [Phased timeline]

Quality Checklist

• All repetitive tasks inventoried
• Automation potential scored objectively
• ROI calculated with realistic estimates
• Tool selection matches team capability
• Implementation prioritized by value

Edge Cases

• For tasks requiring judgment, consider AI-assisted (not fully automated) approaches
• If team lacks technical skills, prioritize no-code solutions
• For regulated processes, ensure audit trail in automated workflows