Stop guessing whether your data can support AI
AI initiatives often struggle to move from prototype to production when the underlying data isn’t ready. The Actian AI Readiness Assessment helps you evaluate your organization’s readiness across six key dimensions and provides actionable recommendations to help close the gaps.
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 evaluates your organization’s maturity across six key capabilities that shape 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
Compare your organization’s maturity with industry peers to better understand where you stand.
Activate
Get a personalized maturity score and actionable recommendations to help prioritize improvements and guide discussions with your leadership team.
What you get at the end
Your AI readiness score
A personalized maturity score across six dimensions of data and AI readiness, giving you a clear picture of your organization's strengths and gaps.
Peer benchmarking
Compare your organization's maturity with industry peers to better understand where you stand.
Gap analysis
Identify gaps across data strategy, governance, quality, lineage, context, and observability that could limit your AI initiatives.
Executive-ready recommendations
Get prioritized recommendations to help guide your next steps and support discussions with your leadership team.
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.
For organizations looking to build on this foundation, Actian’s Data Steward Agent can help keep catalogs current as data evolves. By identifying undocumented assets, drafting business descriptions, and recommending owners, the agent helps stewards scale governance while maintaining human oversight.
Through the Actian MCP Server, organizations can also make governed business context available to AI assistants, analytics tools, and other applications. This lets AI workflows draw on approved definitions, metadata, lineage, and business context instead of relying on raw data alone.
This example shows why AI readiness goes beyond data access. Organizations also need trusted definitions, business context, and governance practices that can evolve with their data.
The AI Readiness Assessment helps you identify gaps across strategy, governance, quality, lineage, context, and observability, so you can prioritize improvements and build a stronger foundation for AI.
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 leaders, who want to understand their organization’s data readiness and identify priorities before scaling AI initiatives.
A personalized AI readiness score, peer benchmarking, and prioritized recommendations to help you address gaps and guide your next steps.
