Hey — glad you're here.

You now have access to 200+ enterprise AI use cases, distilled from 119 real consulting engagements. Here's how to get started:

1. Browse the Compass

Every use case is tagged by industry, function, and domain. Start by filtering to your sector — you'll find patterns immediately.

2. Join the Community Chat

Ask questions, share what you're working on, get feedback from other enterprise leaders navigating the same AI adoption curve.

3. Book a Strategy Call (if you're on that tier)

The 90-minute 1:1 call takes you from "we should do something with AI" to a prioritized roadmap with clear next steps.

4. Watch for Updates

New frameworks, case breakdowns, and playbooks drop regularly. This is a living resource — it gets better the more you use it.

Questions? Drop them in chat.

— Naman

After 119 management consulting case studies, I noticed a pattern: most enterprises are stuck in the same 3 traps when it comes to AI adoption.

Trap 1: The "Shiny Object" Problem

Teams chase the flashiest AI demo they saw at a conference. No alignment with actual business priorities. Six months later, the pilot is dead and the budget is gone.

Trap 2: Boiling the Ocean

"Let's build an enterprise-wide AI strategy." Sounds impressive in the boardroom. In practice, it creates analysis paralysis and a 200-page deck that nobody acts on.

Trap 3: Vendor Lock-in Without a Map

Companies sign massive platform deals before understanding what problems they're actually solving. The tool becomes the strategy instead of the other way around.

The fix is simple: start with the use case, not the technology.

I've catalogued 200+ enterprise AI use cases across every major industry and function — each one tagged by complexity, ROI potential, and implementation timeline.

The highest-impact use cases almost always fall into one of three buckets:

• Process automation where the decision logic is already documented

• Prediction tasks where you have 2+ years of historical data
  

• Content generation where quality is measurable and the cost of error is low

If you're a VP or C-suite leader trying to figure out where AI fits in your org, I built this specifically for you.

No hype. No 200-page strategy decks. Just a structured map of what actually works.