UNOUI™ EXECUTIVE INTELLIGENCEBOARD BRIEFING / 2026

DECISION QUALITY · VALUE · GOVERNANCE

Before you approve AI investment.

Twelve questions designed to slow the wrong decisions down—and help the right ones move with greater confidence.

For boards, executives and investment committeesUK leadership edition

THE LEADERSHIP CHALLENGE

AI urgency should improve decision quality—not replace it.

The UK's AI Opportunities Action Plan emphasises adoption and productivity. Government, ICO and cyber guidance also make clear that opportunity must be supported by accountability, data protection, security and oversight. This briefing helps leadership teams hold both ideas at once.

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STRATEGIC CASE

Is this an AI investment—or a business decision?

Outcome

What specific business or public-service outcome will this investment improve?

Leadership lens

If the answer is a technology rather than an outcome, the proposal is not yet ready. Define the baseline, intended change and the people who should benefit.

Accountability

Which executive is accountable for value, risk and the decision to continue or stop?

Leadership lens

Named ownership should cover the whole lifecycle—not only procurement or technical delivery.

Alternatives

What would we do if AI were not available?

Leadership lens

Comparing AI with process redesign, conventional automation or no action protects the organisation from buying novelty instead of value.

Evidence

What evidence supports the expected benefit?

Leadership lens

Separate demonstrated performance from supplier claims. Ask what has been tested, on whose data and under which operating conditions.

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TRUSTED FOUNDATION

Can the organisation support the promise safely?

Data

Do we have the right to use the required data—and is it suitable?

Leadership lens

Leadership should understand provenance, quality, access, lawful use, retention and whether representative data exists for testing.

People

How will work, judgement and accountability change?

Leadership lens

Identify affected roles, new skills, human-review points, escalation routes and the risk of people relying on outputs they cannot challenge.

Risk

What could fail, who could be harmed and how would we know?

Leadership lens

Consider operational, customer, equality, privacy, cyber, intellectual-property, financial and reputational consequences.

Security

How is the system protected across development, deployment and suppliers?

Leadership lens

Require evidence about access, secrets, logging, model and data supply chains, incident response, resilience and secure decommissioning.

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CONTROLLED DELIVERY

What will keep the initiative valuable after approval?

Oversight

Which decisions must remain subject to meaningful human control?

Leadership lens

Human involvement should have authority, information, competence and sufficient time—not exist only as a nominal approval step.

Supplier

Can we understand cost, dependency, data use and exit?

Leadership lens

Test contractual protections, model changes, service continuity, subcontractors, data location, usage monitoring and the ability to move or stop.

Measurement

Which measures will determine whether the initiative scales, changes or stops?

Leadership lens

Agree value, quality, adoption, safety and cost measures before launch, with thresholds that trigger review.

Readiness

What must be true organisationally before approval becomes responsible?

Leadership lens

Strategy, governance, data, security, skills and delivery capacity are connected. A promising use case can still fail in an organisation that is not ready to support it.

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THE APPROVAL TEST

Before saying yes, can leadership complete this sentence?

“We understand the outcome, evidence, accountable owner, material risks, human controls, total cost and conditions under which we would stop.”

If any part remains unclear, the proposal may need discovery, assurance or a readiness assessment before approval.

Authoritative UK sources

UK Government: AI Opportunities Action Plan DSIT: Cyber Governance Code of Practice DSIT: AI and cyber security codes ICO: AI and Data Protection Risk Toolkit

This briefing is general information, not legal, regulatory or investment advice.

MAKE IT ORGANISATION-SPECIFIC

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