How Ready Are You?

AI Governance Readiness Check

Adoption takes a moment. Everything afterwards takes governance.

This check looks at the organisational foundations of an AI governance mechanism, asking whether you are sufficiently prepared to make it operational rather than aspirational.

Respondent Information

Name
With 1-Star being the lowest and 5-Stars being the highest.
e.g., AI use cases, ownership, controls, evidence, AI governance communications.

Assessment Statements

Please answer all 25 questions below as accurately as possible. On submission, TAL will evaluate your responses and send you an email informing you of your score and recommendations.

AI Use Cases

To what extent is each statement true of your approach to AI Use Cases today?
We have a current list of where AI is used in our organisation, including tools that teams have adopted for themselves.
We know which of our AI use cases affect any of our customers, employees, or regulated decisions.
When a new AI use case is proposed, it becomes visible to someone outside the team proposing it.
We know where AI has been built into the software and services we already use, including features our suppliers have introduced since we bought them.

AI Ownership and Resourcing

To what extent is each statement true of your approach to AI Ownership and Resourcing today?
A named person is accountable for AI governance in our organisation.
The people expected to carry out AI governance work have the time allocated to do it.
It is clear who is accountable when AI supplied by a third party causes a problem.
The person accountable for AI governance has the authority to effect change in AI use, beyond reporting on it.

AI Risk Exposure

To what extent is each statement true of your approach to AI Risk Exposure today?
We can distinguish the AI-enabled operations that carry meaningful risk from those that do not.
We have identified what the impact would be if one of those risks were realised.
We update our view of AI risk whenever our use of AI changes.

AI Control Responsibilities

To what extent is each statement true of your approach to Control Responsibilities today?
It is clear who is responsible for checking that our AI controls are actually working.
We monitor whether AI tools continue to behave acceptably in operation.
When an AI control fails or is skipped, someone is expected to act on it.
A person can intervene in, override, or stop an AI-driven outcome when the situation calls for it.

AI Evidence

To what extent is each statement true of your approach to AI Evidence today?
We have agreed what evidence we need to keep about our use of AI.
We keep records of how our significant AI-influenced decisions were reached.
The evidence we hold about AI is captured as work happens, rather than assembled afterwards.
If a regulator, client, or auditor asked for evidence of our AI governance, we could produce it without a special effort.

AI Decision Forums

To what extent is each statement true of your approach to AI Decision Forums today?
There is an established forum where AI risks and decisions are discussed.
AI decisions reach that forum before commitments are made, rather than after.
That forum has the authority to stop or change an AI initiative.

Ways of Working

To what extent is each statement true of your organisation's Ways of Working today?
Teams know what they must do before putting an AI tool into use.
We have formally documented a position on how AI may and may not be used in our organisation.
Our AI governance practices are followed even when delivery is under time pressure.

Any closing thoughts?

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