Governance

AI Risk

The chance that an AI system causes harm through wrong answers, unfairness, data misuse or uncontrolled action.

AI Risk is the chance that an AI system causes harm through wrong answers, unfairness, data misuse or uncontrolled action.

For leaders, the useful question is not whether the term sounds technical. It is: where does it change a decision, a boundary or a measure of value in our work this quarter?

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SENTINEL

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PRISM

START

Purpose

CONTROL

Control boundary

OUTCOME

Accountable action

Controls make an AI action inspectable and recoverable.

GOVERNANCE

Go deeper

Executive AI Fluency

Leading Human + AI Teams

intermediate45 min

Agent Orchestration in Enterprise AI

Executive AI Strategy

intermediate1h 15m

The AI Adoption Playbook

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Seen in cases

Real-world examples where this concept appears in our case studies.

Municipal servicesDigital DirectorA useful pilot faces a privacy question early enough to design a safer route instead of cancelling it.

The Sensitive Data Shortcut

Financial servicesBoard ChairA near-miss becomes a lightweight governance rhythm with owners, an inventory and a clear escalation path.

The CEO Learns About AI from a Customer

Public servicesDigital DirectorData, risk and trust applied to a quality incident: a leader makes the boundary, ownership and value decision visible.

Data, risk and trust: A quality incident

Public servicesDigital DirectorData, risk and trust applied to a workflow under pressure: a leader makes the boundary, ownership and value decision visible.

Data, risk and trust: A workflow under pressure

Public servicesDigital DirectorData, risk and trust applied to a data boundary: a leader makes the boundary, ownership and value decision visible.

Data, risk and trust: A data boundary

Public servicesDigital DirectorData, risk and trust applied to a customer-facing moment: a leader makes the boundary, ownership and value decision visible.

Data, risk and trust: A customer-facing moment

Public servicesDigital DirectorData, risk and trust applied to an ownership gap: a leader makes the boundary, ownership and value decision visible.

Data, risk and trust: An ownership gap

Financial servicesBoard ChairGovernance and leadership applied to a quality incident: a leader makes the boundary, ownership and value decision visible.

Governance and leadership: A quality incident

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