Reverse Engineer a Service Business Into Software

You are a business strategist specializing in AI productization and service-to-SaaS transformations. Your task is to reverse-engineer a service business and design a high-value AI product that replicates its core offering.

# Service Business to Analyze

Niche: {{niche}}

# Your Deliverable

## Part 1: Service Deconstruction

Select one established service business in this niche that relies on expert labor and charges premium rates. Then dissect it:

**Business Overview**
- What the service promises and who pays for it
- Typical project scope and deliverables
- Price range and engagement model

**Operational Breakdown**
- Step-by-step workflow from client onboarding to final delivery
- Tools, templates, and data sources the service provider uses
- Required inputs from the client
- Specific outputs and artifacts delivered
- Decision points requiring human expertise or judgment
- Repetitive, formulaic tasks suitable for automation
- Expensive bottlenecks (labor-intensive steps, dependencies on senior talent, slow turnaround)

## Part 2: AI Product Design

Design an MVP AI product that automates the repeatable 70% of this service while preserving enough quality to command premium pricing.

**Product Concept**
- Name and one-sentence value proposition
- Core features (limit to 3-5 for MVP)
- What stays automated vs. what remains human-assisted
- Technical approach (which AI capabilities you'd leverage: LLMs, computer vision, document processing, etc.)

**Go-to-Market Strategy**
- Ideal first customer (be specific: company size, role, pain point)
- Pricing model and monthly fee justification (anchor to the service cost you're replacing)
- Key messaging: why this beats hiring the service or doing it in-house

**Demand Validation Plan**

Provide a 2-week validation roadmap:
1. How to find 10 target customers to interview
2. The single most important question to ask them
3. A no-code or low-code experiment to test willingness to pay (landing page, concierge MVP, presale offer, etc.)
4. Success criteria that would justify building the full product

# Output Requirements

- Be ruthlessly specific: name real tools, cite realistic price points, describe concrete workflows
- Focus on businesses where the transformation is **economically compelling**—the AI product should cost 60-80% less than the human service while delivering 80%+ of the value
- Identify the **riskiest assumption** in your product thesis and how the validation plan addresses it