ai-use-case-finder

name	ai-use-case-finder
description	Identifies AI automation opportunities in business workflows with feasibility assessment and ROI estimates. Use when evaluating where AI can save time and money in your business.
allowed-tools	Read Write Glob
metadata	{"author":"matthewhitcham","version":"1.0"}

AI Use Case Finder

When to Use This Skill

Use this skill when you need to:

• Identify which business tasks can be automated or enhanced with AI
• Evaluate the feasibility and ROI of AI adoption for specific workflows
• Prioritize AI implementation opportunities by impact and effort
• Create an AI adoption roadmap for a solopreneur or small business

DO NOT use this skill for building AI models, writing prompts, or evaluating specific AI tools. This is for identifying and prioritizing where AI fits in your business.

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Core Principle

AI SHOULD AUTOMATE THE REPETITIVE SO YOU CAN FOCUS ON THE STRATEGIC — THE BEST AI USE CASES SAVE MEASURABLE TIME ON TASKS YOU ALREADY DO, NOT TASKS YOU IMAGINE DOING.

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Phase 1: Brief

Required Inputs

Input	What to Ask	Default
Business type	"What does your business do?"	No default — must be provided
Team size	"How many people work in the business?"	Solo (1 person)
Weekly tasks	"List the tasks you spend the most time on each week."	No default — must be provided
Pain points	"Which tasks do you dread or wish you could delegate?"	No default — ask for top 3
Current AI usage	"Do you use any AI tools already? Which ones?"	None or basic ChatGPT
Budget	"What is your monthly budget for tools and software?"	Under $100/month

GATE: Confirm the brief and task list before analyzing opportunities.

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Phase 2: Audit and Identify

Task Audit Framework

For each task the user listed, evaluate:

Task	Hours/Week	Frequency	Repetitive?	Requires Judgment?	AI Potential
[Task 1]			Yes/No	Low/Med/High	High/Med/Low
[Task 2]			Yes/No	Low/Med/High	High/Med/Low

AI Opportunity Scoring

Score each task on three dimensions:

Dimension	Score 1-5	Description
Time savings	1=minimal, 5=hours saved weekly	How much time will AI save?
Feasibility	1=complex, 5=tools exist today	Can current AI tools handle this?
Impact	1=nice-to-have, 5=revenue-affecting	What is the business impact of automating this?

AI Priority Score = Time Savings x Feasibility x Impact (max 125)

Common High-Value AI Use Cases

Business Area	Task	AI Solution	Time Saved
Content	Writing first drafts	LLM (Claude, ChatGPT)	5-10 hrs/week
Email	Drafting responses	AI email tools	3-5 hrs/week
Social media	Caption and post writing	LLM + scheduling tool	2-4 hrs/week
Research	Market and competitor research	AI search + summarization	2-3 hrs/week
Admin	Meeting notes and summaries	AI transcription	1-2 hrs/week
Finance	Invoice and expense categorization	AI bookkeeping tools	1-2 hrs/week
Customer support	FAQ responses	Chatbots, templated AI	3-5 hrs/week
Design	Basic graphic creation	AI image generation	1-3 hrs/week

GATE: Present scored opportunities and confirm the top 3-5 to develop further.

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Phase 3: Build the Implementation Plan

For Each Top Opportunity

## Opportunity: [Task Name]

**Current state:** [How the task is done now]
**AI solution:** [Specific tool or approach]
**Time saved:** [Hours per week]
**Cost:** [Monthly tool cost]
**ROI:** [Time saved x hourly rate] vs. [Tool cost]
**Implementation effort:** [Hours to set up]
**Risk:** [What could go wrong]

### Setup Steps
1. [Step 1]
2. [Step 2]
3. [Step 3]

### Success Metric
[How to measure whether this is working]

Implementation Roadmap

Sequence opportunities by quick wins first:

Phase	Timeline	Tasks to Automate	Expected Savings
Quick wins	Week 1-2	[Low effort, high impact tasks]	[X] hrs/week
Foundation	Week 3-4	[Medium effort tasks]	[X] hrs/week
Advanced	Month 2-3	[Higher effort, higher reward]	[X] hrs/week

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Phase 4: Polish

1. ROI Summary

## AI Adoption ROI Summary

**Total tasks audited:** [X]
**Tasks with AI potential:** [X]
**Estimated weekly time savings:** [X] hours
**Monthly tool costs:** $[X]
**Monthly value of time saved:** $[X] (at $[hourly rate]/hour)
**Net monthly ROI:** $[X]
**Payback period:** [X] weeks

2. Risk Assessment

For each recommended AI implementation:

• Quality risk: Will AI output meet your standards? (Mitigation: human review)
• Dependency risk: What if the tool shuts down? (Mitigation: avoid single points of failure)
• Cost risk: Will pricing increase? (Mitigation: monitor usage and alternatives)

3. Quality Checklist

## AI Use Case Finder Checklist

- [ ] All major weekly tasks audited with time estimates
- [ ] Each task scored on time savings, feasibility, and impact
- [ ] Top 3-5 opportunities identified and prioritized
- [ ] Specific AI tools recommended for each opportunity
- [ ] ROI calculated (time saved vs. tool cost)
- [ ] Implementation steps outlined for each opportunity
- [ ] Roadmap sequences quick wins first
- [ ] Risks identified with mitigation strategies
- [ ] Success metrics defined for each implementation
- [ ] Total projected time savings and ROI summarized

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Example

Business: Freelance marketing consultant Top opportunity:

## Opportunity: Client Report Writing

**Current state:** Manually compiling analytics into reports, writing summaries. Takes 4 hours per client per month across 6 clients = 24 hours/month.
**AI solution:** Claude + template. Feed analytics data, generate narrative report draft, human review and customize.
**Time saved:** 16 hours/month (from 24 to 8)
**Cost:** $20/month (Claude Pro)
**ROI:** 16 hours x $75/hour = $1,200/month value saved for $20 cost
**Implementation effort:** 3 hours to create templates and test
**Success metric:** Report creation time drops below 1.5 hours per client

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Anti-Patterns

• Automating tasks you should eliminate — if a task adds no value, do not automate it. Stop doing it.
• Starting with the hardest use case — begin with the simplest, most repetitive tasks. Build confidence before tackling complex workflows.
• Ignoring quality requirements — AI drafts need human review. Build review time into your time savings estimate.
• Tool hoarding — signing up for 10 AI tools creates complexity. Start with 1-2 tools that cover the most use cases.
• Expecting perfection — AI that saves 70% of the time on a task is a win. Waiting for 100% automation means waiting forever.

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Recovery

• User cannot identify repetitive tasks: Walk through a typical work week hour by hour. Tasks become visible when mapped to time.
• All tasks seem to require high judgment: Break tasks into sub-steps. The research, drafting, and formatting sub-steps are often automatable even when the final decision is not.
• Budget is zero: Focus on free tiers of AI tools (ChatGPT free, Claude free, Canva free). Many tools offer generous free plans.
• User is overwhelmed by options: Pick ONE task, ONE tool, and ONE week to try it. Expand only after the first win.