FAIRFLAI

Step 1 of 4 — People, skills, attitudes25%

01What is the average level of current knowledge of generative AI among the people working in your organization?

Generative AI is still a little-known concept: most people wouldn't be able to describe or use it

Some people have heard of it, but their knowledge remains superficial and fragmented

Most people have a basic understanding and know a few use cases, but don't apply it in their daily work

Many are familiar with generative AI tools and are starting to integrate them into some activities

Generative AI is widely known and used: it's part of the organization's everyday language and practices

I don't know

02To what extent is your organization's knowledge base organized so that it can be easily used by generative AI?

Information lives in fragmented sources (local documents, email, individual experience) and is not easily accessible or digitized

Digital repositories or archives exist, but are not organized coherently or easily queryable

Initiatives are under way to organize and centralize information, with first attempts at categorization or tagging

Most information is organized in shared systems that are kept up to date and can be integrated with generative AI solutions

The information assets are curated, digitized and managed so they can be queried and leveraged directly by generative AI models

I don't know

03On average, how many hours of generative AI training have the people working in your organization received over the last 24 months?

04Has your organization budgeted for ongoing generative AI training in 2026?

No budget has been set aside for ongoing training

We plan to deliver 1 - 4 hours of training per person

We plan to deliver 4 - 8 hours of training per person

We plan to deliver 8 - 16 hours of training per person

We plan to deliver more than 16 hours of training per person

I don't know

05What is people's attitude toward adopting new forms of generative AI in your organization?

Explicit resistance: skepticism or disinterest, AI seen as a fad or a threat

Curiosity mixed with apprehension: there is interest, but uncertainty about risks and personal impact prevails

Cautious optimism: people recognize AI's potential, but are waiting for concrete examples before truly trusting it

Openness and experimentation: many see AI as an opportunity to simplify and improve their work

Widespread enthusiasm: generative AI is welcomed as a new ally, an integral part of the organizational culture

I don't know

06What is leadership's attitude toward adopting new forms of generative AI in your organization?

Explicit resistance: leadership shows skepticism or disinterest, seeing AI as a fad or a threat

Cautious wait-and-see: AI is seen as an interesting but still premature topic, to observe rather than experiment with

Rational openness: leaders recognize AI's potential, but require concrete proof of effectiveness before investing

Selective sponsorship: part of the leadership actively promotes AI, working to integrate it into processes and company culture

Proactive vision: leadership drives AI adoption as a strategic lever, with conviction and ethical responsibility

I don't know

How AI-ready is your organization?