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  • Services Overview

    Make the difficult and necessary transition to advanced analytics and AI.

    • The Baseline

      Know where your program stands, where risk hides, and what to fix first.

    • Targeted Assessments

      Deep-dive data, analytics, and AI diagnostics that explore specific organizational, cultural, or capability challenges.

    • Bespoke Advisory

      Act on your tailored roadmap with access to 150+ experts, custom workshops, private leadership cohorts, and proprietary frameworks.

  • Expertise Overview

    IIA help clients build capabilities across seven areas critical to building a successful and effective enterprise analytics capability

    • Organization

      Organization models, talent, analytics skills, roles & responsibilities, funding models, etc.

    • Culture

      Analytics maturity, information economies, leadership, decision-making skills, ethics, etc.

    • Process, Methods & Practices

      Analytics techniques, artificial intelligence, business intelligence, agile, visualization, storytelling, UX design, etc.

    • Plans & Programs

      Developing an analytics strategy, building an analytics program, measurement, communication, etc.

    • Demand Management

      Business alignment, operationalization, requirements definition, prioritization, ROI, metrics, etc.

    • Data

      Data strategy, data management, data governance, access, privacy, data engineering, etc.

    • Tools & Technology

      Analytics platform strategy, analytics application lifecycle, Cloud, Dev Ops, tool selection, etc.

  • Resources Overview

    Example insights, frameworks and best practices derived from IIA’s experience working directly with clients

    • Topic Hubs

      IIA’s best resources and expert insights on a specific analytics challenge—all in one place.

    • Tools, Templates, and Guides

      Actionable resources to accelerate your analytics journey.

    • Roundtables & Webinars

      Regularly scheduled, in depth presentations on topics that matter from IIA executives, experts and thought leaders

  • Community Overview

    Content designed to share trends, challenges, insights and best practices from our work with clients in the broader analytics community

    • Blog

      Timely, relevant perspectives from IIA leaders and experts based on our experience with clients and unique market perspective

    • Podcast

      Informative and engaging discussions with successful analytics executives from leading companies

    • Events

      Virtual and in person Symposiums with practitioner-driven agendas, collaboration and peer-to-peer networking

    • Roundtables & Webinars

      Regularly scheduled, in depth presentations on topics that matter from IIA executives, experts and thought leaders

  • Company Overview

    Over a decade of experience delivering unbiased research, advisory and assessment services designed to accelerate analytics performance

  • Contact

The Readiness Test AI Keeps Failing

IIA's research exposes the gap between AI ambition and enterprise readiness, and what to do about it.

Enterprise attention toward agentic AI has nearly quintupled since 2022. IIA's Analytics Maturity Assessment data reveals a wrinkle in that story: for most large, complex organizations, the six most frequently diagnosed priorities are all data foundation issues; capture, quality, integration, trust, consistency, and lineage.

That gap between ambition and readiness is a sequencing risk, and it's growing.

The Readiness Test AI Keeps Failing draws on IIA's analysis of more than 1,500 enterprise advisory conversations and seven years of maturity assessment data to identify exactly where the failures occur, and what high-performing organizations do differently across three critical dimensions:

  • Demand — Is AI investment aimed at the business decisions that actually drive performance, or at what was easiest to launch?
  • Supply — Does data arrive where AI needs it, at the right grain, with the metadata that makes it usable?
  • Operating Model — Can the organization scale analytical work at the pace AI demands, or is it still caught in the centralized vs. distributed oscillation trap?

Failing any one of these makes the other two insufficient. This eBook gives data and analytics leaders a clear-eyed diagnostic and a practical path forward across all three.