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AI maturity, measured where it matters: your people

"AI maturity" usually means one thing: is the organization ready — its tech, data, and processes? That's worth knowing. But it skips the part that actually decides outcomes — whether your people handle AI well.

What makes this Framework different

Most frameworks score the company, estimated by a leadership survey. 2gnoMe measures the people, directly — by what they would actually do.

People, measured — not the org, estimatedThe individual is the unit of measurement, assessed directly rather than inferred from a leadership scorecard.
Actions, not self-ratingsScores come from how people respond to real situations — demonstrated judgment, not confidence alone.
The gap others can't seeEach person's Actions sit beside their Self-Perception, so over- and under-confidence become visible and coachable.
Person and organization, connectedIndividual results roll up into an organization view — leadership sees the firm through real field data, not opinion.

How the major frameworks compare

Nearly all established "AI maturity" models assess the organization's capacity to adopt and deploy AI, as a staged ladder rated by leaders or consultants. 2gnoMe is built around people's demonstrated capability — and connects it upward to the organization.

Framework Primary focus Structure Assessed by
Gartner AI Maturity Model Organization — AI adoption & business impact 5 levels: Foundational → Emerging → Operational → Scaled → Transformational1 Leadership self-assessment
IDC AI MaturityScape Organization — AI capability & culture 5 stages: ad hoc → AI woven into culture2 Benchmark survey
Microsoft (AI Readiness / Responsible AI) Organization — readiness & responsible practice 5 stages: Exploring → Realizing; Latent → Leading3 Self-assessment
Google Cloud AI Adoption Framework Organization — People, Process, Tech, Data 3 phases: Tactical → Strategic → Transformational4 Self-assessment
Deloitte AI maturity Organization — adoption across 6 dimensions 4 levels: automation → organizational redesign5 Consultant diagnostic
Workforce AI-literacy tools Individual — employee AI skill Self-reported tiers: novice / intermediate / advanced6 Self-report & usage analytics
2gnoMe AI Maturity Individual → Organization — demonstrated human capability 5 domains · 24 components · situational judgment + self-perception, with the measured-vs-perceived gap The person (situational responses), rolled up to the org

Framework structures above are summarized from each provider's published description (see sources). 2gnoMe's individual instrument is grounded in the OECD/EC and UNESCO AI-competency work and the EU AI Act Article 4 literacy duty.

Where 2gnoMe sits in the landscape

The org-level concept is well established — and that's useful: 2gnoMe's organizational rubric is a familiar 5-stage ladder, so it reads credibly next to Gartner, IDC, and Deloitte. The difference is what feeds it: the five human-capability domains and aggregated individual results, rather than a leadership opinion survey.

The people-level, demonstrated-capability part is rare. The few tools that assess individuals tend to rely on self-reported skill tiers or usage analytics6. Measuring what a person would do in real situations — and surfacing the gap between that and how they rate themselves — is the part of this market that is largely unoccupied, and it is the core of 2gnoMe.

  1. Gartner — AI Maturity Model & AI Roadmap Toolkit
  2. IDC — MaturityScape: AI-Fueled Organization
  3. Microsoft Research — Responsible AI Maturity Model · Microsoft — Assessing your AI readiness
  4. Google Cloud — AI Adoption Framework (whitepaper)
  5. Deloitte — AI maturity and digital value
  6. Amberjack — How companies can measure AI literacy and workforce skills · The AI literacy development canvas (Business Horizons)