Most AI projects stall on data, not ambition. This assessment shows exactly what your data and infrastructure need before you scale AI, so the next step is clear instead of theoretical.
Most companies exploring AI don't actually have an AI problem. They have a data problem nobody's measured yet. This assessment is a structured review of how your organization collects, governs, reports on, and automates its data today, ending in a maturity score, a tier classification, and a specific list of what to do next.
A single scorecard your leadership team can bring straight into a meeting, benchmarked against companies your size.
Foundational, Developing, Strategic, or AI Ready, benchmarked against industry standards so the number actually means something.
Specific fixes, not generic advice. What to fix first, and why it's the thing that's actually blocking AI work.
Documentation for whatever your next phase of maturity looks like, with no obligation to go further.
Every score ties back to one of these four areas, so the recommendations point at something specific, not a vague sense that your data "needs work."
How your systems connect, move, and store data across the business.
Who owns your data, and whether the rules for using it are clear and actually followed.
Whether your reporting is fast, trustworthy, and something people actually use.
Whether your data is clean, connected, and structured enough to support AI and automation.
You don't need a six-month project or a big commitment to find out where you stand. You need a few weeks and someone who's done this before.
Discover: we talk to the people who actually touch your data, across IT, the data team, and the business side, then evaluate your practices across four domains. Assess: we score your maturity, identify the gaps, and classify where you stand, benchmarked against industry standards.
Design: we hand you actionable recommendations and next steps. If it makes sense, we'll also put together a proposal for deeper modernization or AI work. No pressure either way.
This tends to be the right starting point if any of these sound familiar.
The things people usually ask before they book the call.
You don't need a big budget or a six-month project to find out where you stand. You need a few weeks and someone who's done this before.
Talk to a Netrix engineer about your data