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10 Pilots in 90 Days
Each Projecting 25%+ ROI
AI Strategy for Fortune 500 HealthCareCo
AI StrategyHealthcareMachine LearningEnterprise Transformation
Context
Initially engaged on a growth strategy project. During discovery, noticed the company was paying third-party consultants to manually categorize millions of lines of contract data. Recognized this as an ideal supervised ML candidate.
Challenge
The company needed a comprehensive AI strategy but had no systematic approach to evaluating, prioritizing, or implementing AI use cases across its operating units.
Approach
- 01Built an ML model with 90%+ accuracy to automate contract categorization - this quick win got CEO and senior leadership bought in on AI's potential
- 02Mapped AI market evolution and conducted stakeholder interviews across operating units, generating 50+ potential use cases
- 03Prioritized using impact vs. feasibility framework: revenue potential, ROI, cost reduction, strategic importance against technical complexity, timeline, organizational readiness, and data availability
- 04Balanced portfolio: quick wins (refreshing provider addresses) with complex initiatives (fraud, waste, and abuse detection)
- 05Designed 90-day pilots with three core validation questions: Does the AI work technically? Does it integrate into workflows? Does it deliver business outcomes?
- 06Built scaling framework: sequential rollout starting with early-adopter business units, addressing infrastructure, talent, governance, and change management
Results
10 pilots approved in 90 days, each with projected ROI over 25%
ML contract categorization model achieved 90%+ accuracy
50+ use cases evaluated and prioritized across the organization
CEO actively championing AI program across all business units
Key Insight
"Top-down leadership engagement was critical. The CEO actively championing AI made the difference between pilots that stall and pilots that scale."