Board Oversight Essentials for CEO AI Initiatives

Uncover the five evergreen board meeting AI agenda items every CEO should consider.

David Frigeri
Slalom Data & AI
4 min readFeb 15, 2024

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Photo by Alena Darmel from Pexels

As this year begins to unfold, the word I would use to summarize what CEOs are expecting in 2024 is more. This means …

More uncertainty: Elections are taking place in the US, Taiwan, and Europe while concerns continue to grow around climate change, return to office, geopolitics, and the timing of interest rate cuts.

More growth pressure: With more than $2 trillion of cash on the sidelines, whose stock will be the most attractive? Will pressures mount around AI narratives, M&A, or more earnings?

More AI advancements: AI’s momentum is on the upswing, bringing about new business opportunities and risks.

In fact, it’s these AI advancements that are dominating business discussions worldwide. Across industry sectors, CEO priorities are shifting, and a pattern is clearly emerging: AI is consistently on the agenda for many boards of directors, and many CEOs are searching for ways to more effectively work with their boards on AI initiatives.

Right now, there are a few AI themes that are top of mind for many CEOs:

Value realization

Businesses need measurable and demonstrable prespecified returns from AI investments that will attract the complacent departments and energize the committed departments.

Exponential thinking

It’s necessary to implement AI ideas and strategies that will help keep companies ahead of business model disruption and remain relevant 10 years out.

Building a future-ready AI organization

Strategic planning, operating models, adoption, and a responsible AI culture should be at the forefront when incorporating AI across an organization.

Risk management

Companies also need to balance the rapidly evolving AI tech landscape, AI risk, regulatory frameworks, and potential competitive entrants.

To help CEOs navigate these central themes, we’re sharing where CEOs and board members should be focusing their AI efforts and why, starting with the board oversight essentials needed for AI initiatives.

How to manage board oversight of AI initiatives

For almost any CEO, it’s crucial to align with your board on their AI governance role as your company accelerates AI adoption. Lacking board involvement in your AI strategy opens the door to major pitfalls such as bias and discrimination, misallocation of resources, or missed strategic opportunities. However, judicious oversight and steering can help harness the opportunities responsibly.

Therefore, I want to highlight five key areas to consider for your board’s oversight of AI initiatives:

1. Strategy

Your board needs to evaluate how AI will influence the overall business strategy and vision. This includes aligning AI efforts with company goals and values, assessing competitive risks, and guiding potential M&A strategy or large capital allocations for gaining or building AI capabilities.

2. Investment areas

Boards must also support the need to continuously balance and optimize investments in long-term technology modernization with deploying timely AI capabilities that positively affect customers, employees, and the bottom line.

3. Ethics

The board should understand and monitor AI ethics and risks, mandating reviews of high-impact systems and verifying the organization continues to adhere to responsible AI practices.

4. Talent

Assessing AI talent and investments is also crucial, such as discussing skills gaps, recruitment, training needs, and partnerships that can expand capabilities.

5. Ongoing performance

Benchmarking AI progress should also be taken into account, which might include establishing metrics, ensuring regularly updated reporting to verify the company is on track compared to competitors, and proactively addressing stakeholders’ potential concerns.

Activating your board’s AI oversight

So where do you start? Below are a few recommendations to enable and empower your board members as they navigate the intricacies of AI adoption:

Example of an AI maturity assessment framework
  • Consider a quantifiable AI maturity assessment to help keep the board regularly updated.
  • Advocate for an AI board subcommittee to ensure a sufficient focus on areas such as maturity progression, organizational readiness, financial performance, and model risk management.
  • Hold education sessions on AI fundamentals, responsible AI, and the economics of developing and operating AI environments.

By following these recommendations, boards will play an important role in mitigating risks, ensuring AI initiatives are aligned with the company’s strategy, implementing AI ethically and responsibly, and contributing to the long-term well-being for all stakeholders.

Slalom is a next-generation professional services company creating value at the intersection of business, technology, and humanity. Learn more and reach out today.

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David Frigeri
Slalom Data & AI

Lead Data andAnalytics practice, responsible team building, services portfolio, go to market strategy, revenue and delivery, and partnerships