Antire AI maturity assessment

Make high-impact AI investment decisions

The Antire AI maturity assessment shows you where you stand today, what's holding adoption back, and where AI will actually pay off.

Through a four-week fixed-price engagement tailored to the size of your organization, we run in-depth interviews across your business and build your organization's own interactive strategic dashboard.

It's your tool for prioritizing and making strategic investment choices. A scored baseline, a prioritized set of use cases, the dependencies between them, and the highest-value opportunities flagged for AI-driven efficiency.

Evidence-based decisions instead of wasted spend and failed pilots.

What you walk away with

  • AI readiness scorecard: Every pillar scored, with evidence behind each rating named.
  • Gap analysis: What stands in the way, separating quick wins from the foundations.
  • Prioritized use case inventory: Opportunities scored on impact and feasibility.
  • Model type guidance: Which kind of AI suits which problem.
  • Executive roadmap: An AI roadmap, the building blocks behind it, and a rough financial view.
  • Executive readout: A board-ready presentation of the whole picture.

Request an assessment

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How it works

We combine structured interviews with your leaders and operators, a review of your existing documents and current initiatives, and targeted evidence probes. Every score traces back to a named source. Nothing in the final report rests on an impression.

Over 4 weeks of discovery, interviews, and evidence gathering we evaluate six pillars that cover every dimension of your AI maturity.

  • 01 Strategy & leadership

    Business ambition, AI north star, executive ownership, value pools, investment appetite, and the metrics that define success.

  • 02 People, skills & culture

    AI literacy, adoption readiness, how roles change, and your teams' capacity to absorb new ways of working.03 Process readiness.

  • 03 Process readiness

    Where manual effort, standardization gaps, and decision points make your processes ready, or not ready, for AI.

  • 04 Governance & responsible AI

    AI policy, data protection, EU AI Act exposure, model risk, and human oversight in safety- and decision-critical work.

  • 05 Technology & infrastructure

    Your ERP, cloud, integration, and platform landscape, and whether they can support AI at scale.

  • 06 Data readiness

    Data quality, ownership, lineage, and access, and how ready your data is to feed reliable AI.