AI ASSESSMENT

How AI-ready is your organisation?

6 questions. 3 minutes. Receive a personal analysis based on People, Data and Technology.

Step 1 of 3

People

AI starts with people. Where does your organisation stand?

1 How does your team feel about AI in their daily work?

Resistance — Many employees see AI as a threat to their jobs

Wait-and-see — People know AI is coming, but do little with it

Curious — There are enthusiasts, but no structure

Active — Teams are experimenting and first processes are running

Ambassadors — Employees embrace AI and drive adoption themselves

2 Who drives AI initiatives in your organisation?

Nobody — AI is not on the agenda

IT department — Only techies are involved

Individual — One enthusiastic manager leads the charge

Management — There's a team or programme, but without C-level sponsorship

C-level — Board actively sponsors with budget and priority

Step 2 of 3

Data

No reliable, accessible data means no AI. Where do you stand?

3 How reliable is the data you work with?

Unusable — Data is everywhere, nobody trusts it

Basic — There is data, but quality and completeness vary

Usable — Core data is reliable, but there are still gaps

Good — Structured, documented and mostly reliable

Validated — Data governance in place, quality is continuously monitored

4 How easily can people and systems access the right data?

Impossible — Data is locked in silos, nobody can reach it

Manual — With effort and a lot of manual work, data can be combined

Partial — Some systems are connected, others are not

Good — Most data is centrally available through a platform

Seamless — All relevant data is available in real-time for people and systems

Step 3 of 3

Technology

The technical foundation. Can your environment handle AI?

5 Can your technical environment handle AI workloads?

Outdated — Infrastructure is not suitable for AI workloads

Basic — Cloud is present, but not set up for AI or ML

Ready — Infrastructure can handle AI, but is not optimised

Scalable — AI workloads are running, scaling up is possible

Optimised — AI infrastructure is production-ready and cost-efficient

6 How do you handle security and compliance around AI?

No policy — There is no AI policy for security or compliance

Ad hoc — Risks are considered per project

Guidelines — There are basic rules, but adherence is inconsistent

Embedded — Security and compliance are embedded in the AI process

Complete — Full AI governance with monitoring, auditing and risk management

Final step

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