Find out what's actually blocking your AI initiative

Model capability has stopped being the constraint for most enterprise use cases. The models available today are more than adequate for document processing, classification, retrieval-augmented question answering and workflow automation. What stops these programs is that the data underneath is late, incomplete, contradictory across systems, or governed in ways nobody checked before building.

This is unwelcome news because data foundations are less exciting than model selection, and the work looks like plumbing rather than innovation. But an organization that fixes entity resolution and data quality can deploy AI use cases repeatedly and cheaply, while one that skips it will keep producing impressive pilots that never survive contact with production.

The assessment exists to name this specifically rather than generally. 'Improve data quality' is not actionable; 'these four source systems disagree on customer identity, here's what resolving it costs and which three use cases it unblocks' is.

Our free AI readiness scorecard is an eight-question self-assessment that gives you a score, a tier and a sense of where you stand in about three minutes. It's genuinely useful for orienting yourself and for starting an internal conversation, and plenty of organizations need nothing more than that.

The facilitated assessment is a different thing: two weeks, on-site or remote, examining your actual data and platform rather than your self-reported impressions. The difference in output is the difference between 'your governance is a weak spot' and a costed remediation plan naming the specific systems, the specific gaps and the sequence to address them.

Start with the scorecard. If it confirms what you suspected and you need a plan you can fund, the assessment is the next step.

You get a written assessment, a scored use-case portfolio, a costed remediation plan and a presentation to your executive sponsor. Everything is yours — there is no dependency on us to interpret or execute it, and organizations regularly take the plan and run it with their own team.

What we won't do is produce a maturity score with no path attached. Readiness frameworks that grade you against an abstract scale are easy to sell and difficult to act on. If the assessment concludes you're ready and should proceed directly to building, that's the finding, and we'll say so rather than manufacturing remediation work.