By now all Boards of Directors will have had some form of discussions about the impact of AI on their businesses. However, I’ve experienced that the quality of board discussions and consequently the usefulness of AI related Board decisions vary immensely.
From “not really relevant for us”, to “should we be talking about AI?” all the way to dedicated AI strategy workshops. Some companies go even further by considering restructuring the Board to bring in appropriate levels of AI understanding.
Particularly Boards of SMEs can and must do a better job as the impact of AI in terms of opportunities and threats are immense.
Yes, not all businesses are alike and will have different degrees of tech/digital/AI sophistication. But there isn’t a business that can’t either take advantage or will be challenged by the developments in AI.
A topic of such strategic importance needs to be addressed and led by the Board. There seems to be a varied degree of sophistication in how this topic is dealt with at the Board level.
When Boards are not dealing with AI strategy discussions in a structured way it can lead to frustrations and missed opportunities. The results of such inefficiencies are often time wasted with meaningless discussions, missed opportunities to properly identify and assess strategic opportunities and failure to identify AI-related risks.
The following framework based on some best practices provides some practical steps enabling SME Boards to elevate their AI strategy discussions into impactful outcomes:
- Set the context. Begin by ensuring all board members have a basic understanding of AI, its capabilities, and its potential impact on the industry. This could involve workshops, presentations from AI experts. Discuss how AI is being utilized in your industry. Examine case studies of competitors or similar-sized businesses to understand how they are leveraging AI.
- Define clear objectives. To develop a comprehensive AI strategy, Boards should start by defining clear objectives and understanding how AI aligns with the organisation’s broader goals. Identify how AI can help achieve the company’s strategic goals. This might include improving customer service, increasing operational efficiency, or creating new revenue streams.
- Conduct a readiness assessment. Assess the current state of your technology infrastructure, data quality, and talent pool. Determine if your business has the foundational elements needed to support AI initiatives. Identify gaps in technology, skills, and data. Determine what additional resources are needed to implement AI effectively.
- Develop a data strategy. This critical step is often missed. Establish policies for data governance, ensuring data quality, privacy, and security. Invest in the necessary data infrastructure to support AI initiatives. This might include data storage solutions, data processing tools, and data analytics platforms.
- Prioritise AI initiatives. Highly recommended to select a few pilot projects to start with. These should be manageable in scope but have the potential for significant impact. Pilot projects help demonstrate AI’s value and gather initial learnings.
- Address Ethical and Regulatory Issues. Create an ethical framework for AI use that addresses bias, fairness, transparency, and accountability. Ensure all AI initiatives align with the company’s values. Stay informed about regulations related to AI and data privacy. Ensure your AI initiatives comply with all relevant laws and standards.
- Engage Stakeholders. Maintain open communication with all stakeholders, including employees, customers, and investors. Clearly articulate the AI strategy, progress, and expected outcomes.
For SMEs, developing and implementing an AI strategy can drive significant benefits, from operational efficiencies to enhanced customer experiences. By following this framework, Boards of Directors can ensure they are strategically leveraging AI while managing risks and fostering an innovative and ethical business environment.