The Board Keep Asking — What Are We Doing About AI?
- Mar 17
- 5 min read
Updated: May 15
1. Insight
For many executives, the question first appears almost casually.
“What are we doing about AI?”
It might surface in a board meeting, an executive discussion or as a follow-up to a paper on digital strategy, risk or operational performance. Initially, it is often asked out of curiosity rather than concern.
But over time, the question changes.
It becomes more frequent. More pointed. Increasingly difficult to answer with confidence.
Responses such as “we’re exploring AI”, “teams are experimenting”, or “we’ve run a few pilots” begin to feel inadequate — not because nothing is happening, but because it is unclear how that activity fits together.
The discomfort does not come from a lack of effort. It comes from a lack of genuine strategic direction.
2. Why This Matters
Boards are not asking about AI because it is fashionable or novel.
They are asking because AI now intersects directly with:
Organisational risk and assurance
Investment and prioritisation decisions
Workforce capability and change
Data governance and compliance
Long-term competitiveness and resilience
As AI becomes embedded in everyday work, it moves from being a technical curiosity to a leadership responsibility.
When senior leaders cannot provide a clear, coherent answer, confidence erodes — not only in AI activity itself, but in the organisation’s ability to manage it deliberately.
This is rarely a technology problem.
It is a strategy problem.
3. Behind the Question
Although it is often phrased simply, “What are we doing about AI?” is rarely a single question.
In practice, it acts as a proxy for a broader set of concerns that boards and senior leaders may not yet be articulating explicitly — but are increasingly aware of.
3.1 Strategic Direction and Intent
At a fundamental level, boards want to understand whether AI is being adopted deliberately or accidentally.
They are asking:
Do we have a clear view of what AI is meant to achieve for this organisation?
Is AI supporting our strategic priorities, or simply responding to opportunity and noise?
Can we explain why certain AI initiatives exist — and why others do not?
Without an explicit strategy, AI activity can appear busy but directionless, making it difficult to demonstrate purposeful progress.
3.2 Risk, Control and Assurance
Boards are also conscious that AI introduces new and unfamiliar forms of risk.
Common concerns include:
Whether sensitive data is being handled appropriately
How decisions influenced by AI are being governed
Where accountability sits if something goes wrong
Whether existing risk and assurance mechanisms are sufficient
Even where policies exist, boards often lack confidence that AI risks are being managed consistently or proportionately across the organisation.
The question becomes less about individual tools and more about control and visibility.
3.3 Investment Value for Money
As AI tools and initiatives multiply, so do questions about cost and return.
Boards increasingly ask:
How much are we actually investing in AI?
Are we spreading effort too thinly?
How do we decide which initiatives are worth scaling?
How do we avoid funding disconnected pilots with limited long-term value?
Without a strategic frame, investment decisions can feel opportunistic rather than intentional — increasing both financial and reputational risk.
3.4 Organisational Readiness
Another concern often sits just beneath the surface: are we actually ready for what we are attempting?
Boards recognise that AI adoption depends on more than technology alone. They worry about:
Workforce understanding and capability
Data quality and availability
Operating model readiness
Leadership alignment
The organisation’s capacity to absorb change
When ambition outpaces readiness, early initiatives can stall — undermining confidence and increasing caution about future investment.
3.5 External Pressures
Finally, boards are increasingly aware of the external context.
They are conscious of:
Growing regulatory attention
Expectations from customers, partners and stakeholders
Peer activity and public narratives around AI adoption
This creates a subtle but persistent pressure:
“Are we doing enough — and can we explain our position credibly if challenged?”
Without a clear strategy, comparisons become difficult and explanations often feel vague or defensive.
Taken together, these concerns explain why the board’s question carries weight.
It is not a request for technical detail or a catalogue of tools. It is a request for clarity, intent and confidence — across strategy, risk, investment and capability.
4. Benefits of Strategy
If that is what sits behind the question, then the response is not more pilots, but a clear AI Strategy and Roadmap.
A well-constructed AI Strategy and Roadmap does not attempt to predict the future or prescribe every initiative in detail.
Instead, it provides leaders with practical benefits:
Clarity of intent — a shared understanding of what AI is for, and what it is not
Leadership alignment — reducing mixed messages and fragmented decision-making
Decision support — a defensible basis for prioritisation, sequencing, and investment
Board confidence — the ability to explain AI activity coherently and calmly
Controlled progress — enabling innovation without unmanaged risk
Most importantly, it allows AI to move from a collection of disconnected initiatives to a deliberate organisational direction.
It gives the board a coherent view of intent, priority use cases, risk posture, investment requirements and how progress will be reported.
5. Risks
When organisations delay or avoid addressing AI Strategy and Roadmap, several risks tend to accumulate:
Governance and assurance lag behind adoption
Investment decisions are made reactively rather than deliberately
AI activity becomes fragmented and inconsistent
Leadership alignment weakens over time
Confidence erodes following early setbacks or scrutiny
Over time, this can lead to a cycle of hesitation — where organisations are busy with AI, but unable to explain progress or commit confidently to next steps.
6. Final Thoughts
The board’s question — “What are we doing about AI?” — is not going away.
As AI becomes more embedded in everyday work, expectations for clarity, intent and assurance will only increase.
Organisations that respond well are not those with the most pilots or the boldest claims.
They are the ones that take the time to define:
Where AI can realistically add value
How it aligns to strategic priorities
How risk will be managed
How progress will be measured over time
A successful AI Strategy and Roadmap brings vision, priorities, indicative investment and risk into one coherent view, giving leaders a clear basis for commitment.
This Insight is part of the Orr Consulting AI Insights Library — structured thinking for AI transformation leaders and decision makers.
7. Call to Action
If board-level AI questions are becoming harder to answer with confidence, establishing a clear AI Strategy and Roadmap is often the most valuable next step. Orr Consulting would be pleased to discuss your next AI steps.
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