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Maturity assessment

How mature is your AI Operations?

Six questions, two minutes. We return your AI Operations maturity level, what’s missing for the next one, and where to start. No sign-up to see the result.

1

Strategy and prioritisation

Do you know which processes to automate with AI, and at what return?

2

From pilot to production

Do your AI pilots reach production and get real use?

3

Agent governance

Who governs your agents: permissions, limits and guardrails?

4

Data and integration

Is AI integrated with your real systems and data?

5

Team and roles

Do you have someone who operates the AI function (not just builds it)?

6

Measurement and reliability

Do you measure cost, reliability and savings of your AI in production?

0/6

The 5 AI Operations maturity levels

0

Absent

(0–4)

There is no AI function in operations yet: it’s all scattered exploration.

1

Explorer

(5–10)

There are initiatives, but no prioritisation, owner or measurement: the risk is scatter.

2

Pilot

(11–15)

You have pilots, but struggle to get them to production and keep them running.

3

Scaling

(16–20)

Several automations in production; the challenge now is governance, integration and reliability at scale.

4

Operated

(21–24)

AI is an operated function: prioritised, governed and measured. You’re at the frontier.

What to do with this

The tool gives you the diagnosis. What comes next — who runs it, who maintains it, who answers when something breaks — is still a decision. Here is where it goes:

How mature is your AI Operations? · Implementa · Implementa