Data Layer Assessment

You Asked The Training Question

Every exec asks it. Almost no org has the data layer to back it up yet. Everyone wants AI to move fast — but crap in, crap out. If your data is broken, it doesn't matter how fast you build; you'll just build the wrong thing faster. This assessment scores your data layer across 6 dimensions and tells you where the cracks are.

The Objection We Hear Every Week

We Know You Heard AI is Fast

And you're correct. AI is fast at building — but do you want it building on bad data?

Three (well, five) quick questions to calm any frustration about AI taking months instead of days:

Are you 100% confident your data is correct? If no: 30 to 90 days of sanitizing, deduping, normalizing, and validating before AI touches a single record. Skip this and AI confidently outputs your bad data — just faster, at scale, with a chatbot's smile on it.
Can you 100% validate the integrity of your data? If no: you need lineage. Every number that comes out of an AI should trace back to a source you trust. Without it you can't answer "where did this come from?" — and neither can your auditor.
Is your data consistent across your systems? If no: master data management first. If "customer" means three different things in three systems, AI will pick the wrong one and run with it confidently for six months before anyone notices.
Is your data complete? If no: gap analysis and backfill. AI doesn't tell you it's guessing when a field is empty — it just guesses. And guesses ship to customers.
Is your data secure, classified, and compliant? If no: governance comes before AI. Replacing a function with AI before classification, access controls, and retention is how a process problem becomes a regulatory incident.

So no — we don't "just replace the function with AI now." We replace it once, correctly, on a data layer that won't betray you in production. Ninety days of preparation beats six months of cleanup. Every time.

20 questions · 5 minutes · Instant results

Watch · 4 min

Why The Anthropic CEO Says Your Data Is The Moat

Unique data. Proprietary data. The thing AI can't generate for you. If your data layer is broken, this is the conversation you have before you buy another tool.