Stop guessing whether your data can support AI
Gartner reports that only 40% of AI prototypes ever reach production, and data readiness is the top blocker. The Actian AI Readiness Assessment shows you where your data stands across six dimensions of maturity and gives you a clear, executive-ready plan to close the gap.
AI ambitions are running into a data reality
of CIOS
say AI initiatives have delivered less value than expected.
Source: Gartner
of AI prototypes
never reach production. Data readiness is the top blocker.
Source: Gartner
of data practitioners
say their data is not trustworthy enough for AI.
Source: Modern Data Report
Organizations are investing heavily in AI, but many are finding that their data foundation isn’t ready to keep up. Gaps in governance, quality, context, lineage, and observability can quickly become barriers when AI moves from prototype to production.
See where you stand across six dimensions
The assessment benchmarks your organization across the capabilities that determine your AI readiness.
How the assessment works
Three steps, about 10 minutes, one clear picture of where you stand.
Answer
Answer targeted questions covering data strategy, governance, quality, lineage, context, and observability.
Benchmark
See how your organization compares to industry peers, backed by practitioner data instead of guesswork.
Activate
Get a personalized maturity score and a prioritized action plan you can bring straight to your leadership team.
What you get at the end
Your AI readiness score
A defensible score across six dimensions of data and AI maturity, ready to share with your leadership team.
Peer benchmarking
See how your maturity compares to organizations in your industry, so you know exactly where you stand.
Gap analysis
Pinpoint the specific governance, quality, and context gaps holding your AI initiatives back from production.
Executive-ready recommendations
Get a prioritized action plan you can present to your CDO, CIO, or board without any extra work.
What AI readiness looks like in practice
The assessment helps you identify gaps across data strategy, governance, quality, lineage, context, and observability. But what happens when you start closing those gaps?
For one global automotive importer, the challenge became clear as the company expanded its AI use. Teams could generate dashboards and insights quickly, but inconsistent business definitions and limited context made it difficult to trust the results.
The company had data spread across systems and thousands of business definitions that weren’t consistently connected to the data using them. As AI became part of analytics workflows, those gaps created a bigger problem: AI could access the data, but it didn’t always have the business context needed to interpret it correctly.
The company brought more than 10,000 business definitions into a governed catalog and connected them to the underlying data through Actian’s federated knowledge graph.
Using the Actian MCP Server, the company could then make that governed context available directly to AI assistants, analytics tools, and other applications. Instead of relying only on raw data, AI workflows could use approved definitions, metadata, lineage, and other business context to generate more reliable results.
This is the kind of challenge the AI Readiness Assessment is designed to uncover. It helps you see where gaps in governance, quality, lineage, context, and observability could limit your AI initiatives, so you can prioritize what to address ne
Questions before you start
About 10 minutes. You answer targeted questions across six dimensions of data and AI maturity, from strategy to observability.
Yes. No cost and no obligation. You get your maturity score and recommendations immediately after you finish.
Data and AI leaders, including CDOs, CIOs, and data governance leads, who need a clear, defensible view of where their data stands before they scale AI.
A personalized maturity score, a peer benchmark, and a prioritized set of recommendations you can bring to your leadership team
