For VPs of AI and applied AI leaders
Turn "we need more AI investment" into a funded plan
You have the mandate to scale AI across the enterprise. What you're missing is the framework to show leadership exactly what that requires — in capabilities, roles, and dollars.
Sound familiar?
Scaling AI from pilot to enterprise is a different problem than building the first demo:
You shipped a few pilots. Now leadership wants "enterprise AI" and you have no reference architecture for what that actually requires.
Your portfolio visibility is a spreadsheet. No unified view of which initiatives cover what capabilities or where the shared gaps are.
You need to hire but can't articulate exactly which roles — Agent Reliability Engineers? AI Ethics & Policy? Data Stewards? — or how many.
The board expects transformational results. Your team is still building foundational infrastructure. There's no shared framework to show why the foundations come first.
Every week there's a new AI tool and a new vendor pitch. You need to evaluate what capabilities you need before evaluating what tools to buy.
How it works
From scattered initiatives to a funded roadmap in four steps:
Start with use cases, not technology
Browse 400+ enterprise AI use cases across industries and functions. Select the ones that match your business priorities. This is where every roadmap should begin — with what the business actually needs.
See only the capabilities that matter
Your selected use cases automatically filter the 170+ component landscape down to just the capabilities you need. No noise, no "nice to haves" — just the technical requirements for your specific initiatives.
Map what you have vs. what you need
Add your current tools and the blueprint instantly shows coverage gaps. "We have 12 of 23 capabilities covered. Here are the 11 gaps and which tools address them." That's the investment case.
Share the roadmap with leadership
Generate a print-ready report showing layer-by-layer maturity, gap analysis, and a prioritized technology roadmap. Walk into the boardroom with data, not slides.
Stop presenting slides. Start showing the plan.
Most VPs of AI spend months building the picture from scratch. You're a few clicks away from having it right now.