Problem and goals
01Problem: an AI automation company building custom workflow agents needed to decide which industry verticals to target first to maximize speed-to-ROI, sales-cycle fit, and portfolio-level scalability.
Goal: identify and rank the most attractive niches using an evidence-based, multi-factor framework, then equip the go-to-market team with competitive intelligence and real-world proof points to enter each priority niche with confidence.
What was done to solve the problem and reach the goals
02To identify the most attractive industries for us, we applied a structured, multi-factor evaluation framework focused on AI suitability, market scale, and solution fit.
Multi-factor evaluation framework
Built a multi-factor evaluation framework scoring industries on 5 dimensions:
Benchmarking
Benchmarked 9 candidate industries on revenue, growth, fragmentation, employee count, and AI/VC deal activity.
Market Opportunity Map
Built a Market Opportunity Map plotting workflow-automation intensity against GTM accessibility, sorting niches into Priority, Complex-but-High-Value, and Easy-but-Limited quadrants.
Niche ranking
Ranked specific niches by fit, strengths, and constraints.
Competitive landscape
Mapped the competitive landscape within each priority niche, benchmarking direct competitors’ focus, core strengths, and gaps versus full workflow-automation potential.
Project results
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