Generative AI is reshaping how enterprises operate, yet many GenAI programs stall at the experimentation stage. Organizations struggle to embed AI into daily operations and culture. Tools and data are fragmented, KPIs are vague, and governance is inconsistent. Teams aren’t sure where to invest first, and leaders lack a clear line of sight to ROI.
At Confiz, we’ve built the Generative AI Native Assessment Framework (AINAF)—a practical way to assess and advance your AI maturity. It gives you a common language and a scorecard to align leadership, prioritize GenAI investments, and prove impact. Use it to move from ad‑hoc pilots to a governed, measurable AI‑native operating model.
Inside our whitepaper, we show how AINAF was applied at a global technology company (~700+ employees, multi‑million‑dollar revenue). The assessment surfaced gaps, assigned maturity scores, and recommended targeted next steps across six core dimensions of AI adoption. Using AINAF, the organization established a clear internalization index, focused improvement plans, and moved from fragmented AI usage to a strategic, enterprise‑wide approach.
What you’ll learn
- The AINAF maturity model: 5 levels across 6 dimensions
- How to score your current state with an evidence‑based checklist
- Which capabilities to prioritize next (data, tooling, governance, skills)?
- A step‑by‑step path to move from pilots to production with guardrails
- KPI templates to quantify adoption, efficiency, and value
- A sample roadmap with real‑world highlights
Ready to move beyond pilots and prove value? Download the whitepaper to assess your AI nativity and unlock the full value of Generative AI across your enterprise.