From AI Awareness to AI Accountability: The Board’s Expanding Role
From AI Awareness to AI Accountability: The Board’s Expanding Role
Artificial intelligence is no longer a technology experiment or proof of concept. It is increasingly becoming part of how organizations make decisions, serve customers, operate, compete, and grow.
That shift is changing the role of the Board.
The key question is no longer whether an organization should use AI. It is whether AI can be scaled deliberately, responsibly, and profitably, with the right level of visibility, accountability, trust, and control.
BDO’s perspective is clear: the Board’s role is not to slow AI adoption. It is to create the governance conditions that allow the organization to move forward with confidence. Without those conditions, AI-related risks can scale faster than the value AI creates. BDO
AI value and AI risk are scaling together
AI can create significant value across the organization. It can support faster innovation, sharper insight, improved productivity, stronger customer experiences, and more resilient operations.
At the same time, unmanaged AI can amplify existing risks and introduce new ones. These may include data exposure, flawed decisions, biased outcomes, opaque third-party solutions, cybersecurity weaknesses, regulatory challenges, and reputational damage.
The answer is not excessive caution. BDO emphasizes the need for disciplined ambition: governance that allows lower-risk, value-creating AI to move quickly while requiring higher-risk use cases to demonstrate that they can be trusted. BDO
Five priorities for Boards
As AI becomes more embedded across the organization, Boards should challenge management around five core priorities.
1. Focus AI investment on measurable value
AI investment should support strategy, improve outcomes, and create measurable value.
The objective is not simply to increase the number of AI initiatives. Management should be able to explain how material AI investments support business priorities and what outcomes the organization expects to achieve.
This gives the Board a clearer basis for assessing whether AI investment is commercially justified and strategically aligned.
2. Establish clear accountability
Material AI use cases should have clearly assigned ownership.
BDO highlights the need for accountability across business, technology, data, and risk functions. This is particularly important because AI often cuts across traditional organizational boundaries.
Without clear ownership, accountability can become fragmented, making it more difficult to determine who is responsible for outcomes, controls, data, risk, and performance.
3. Create responsible speed
Not every AI application creates the same level of risk.
Governance should therefore be proportionate to the potential impact of the use case. Lower-risk applications should be able to progress efficiently, while higher-impact AI should be subject to stronger scrutiny.
This risk-based approach can help organizations avoid two extremes: allowing high-risk AI to advance without sufficient control, or applying unnecessary governance requirements to low-risk applications.
4. Require evidence of trust
Boards should not rely solely on assurances that AI systems are properly managed.
For material AI use cases, they should expect evidence that systems are secure, reliable, compliant, appropriately supervised, and performing as intended.
This moves AI governance beyond policy and intention. It requires management to demonstrate that the controls surrounding important AI applications are functioning in practice.
5. Build resilience before problems occur
Organizations also need to prepare for situations in which AI does not perform as expected.
BDO identifies potential scenarios including poor outputs, compromised systems, data exposure, vendor disruption, autonomous behavior, and contested AI-supported decisions.
Resilience therefore needs to be built into AI governance before an incident occurs. Boards should understand how the organization would identify, respond to, and recover from failures involving material AI systems. BDO
Boards need visibility, not only policies
Governance frameworks and policies are important, but they are not sufficient on their own.
Boards need practical visibility into how AI is being used and whether governance is working.
BDO recommends a focused Board dashboard that provides information across areas such as:
AI governance is becoming a business governance issue
AI is already spreading through employee tools, vendor platforms, digital products, automation, and autonomous agents.
As a result, AI governance cannot sit solely within the technology function.
It increasingly intersects with strategy, operations, data governance, cybersecurity, risk management, compliance, procurement, third-party management, and internal control.
Boards therefore need a cross-functional view of AI adoption. They should understand where material AI use exists across the organization, who owns it, what value it is expected to generate, and what level of risk and oversight it requires.
Strong governance should enable speed
Governance and innovation should not be treated as competing priorities.
The purpose of effective AI governance is not to create unnecessary bureaucracy. It is to give the organization sufficient confidence and control to scale appropriate AI use more effectively.
This is particularly important because AI is evolving faster than many traditional policies, governance frameworks, and control models.
Boards therefore need sharper questions, clearer accountability, and better evidence rather than relying solely on static governance documentation.
Organizations that establish these foundations can move more quickly while maintaining control over the risks that matter most. BDO
The Board agenda is shifting
Boards that govern AI effectively can help their organizations move from experimentation toward scalable capability.
This can support faster innovation, more informed risk-taking, stronger resilience, and greater confidence among customers, employees, regulators, and investors.
The Board agenda therefore needs to move beyond a general discussion of whether the organization is using AI.
The more important questions are:
AI will continue to evolve faster than many traditional governance models. Organizations that respond with clear ownership, proportionate controls, better evidence, and stronger resilience will be better positioned to scale AI with confidence.
The opportunity is not simply to adopt AI. It is to govern AI effectively enough to lead with it, scale it, and create sustainable value.
Source: BDO Global, The Board’s Role Has Expanded: From AI Awareness to AI Accountability. BDO
That shift is changing the role of the Board.
The key question is no longer whether an organization should use AI. It is whether AI can be scaled deliberately, responsibly, and profitably, with the right level of visibility, accountability, trust, and control.
BDO’s perspective is clear: the Board’s role is not to slow AI adoption. It is to create the governance conditions that allow the organization to move forward with confidence. Without those conditions, AI-related risks can scale faster than the value AI creates. BDO
AI value and AI risk are scaling together
AI can create significant value across the organization. It can support faster innovation, sharper insight, improved productivity, stronger customer experiences, and more resilient operations.
At the same time, unmanaged AI can amplify existing risks and introduce new ones. These may include data exposure, flawed decisions, biased outcomes, opaque third-party solutions, cybersecurity weaknesses, regulatory challenges, and reputational damage.
The answer is not excessive caution. BDO emphasizes the need for disciplined ambition: governance that allows lower-risk, value-creating AI to move quickly while requiring higher-risk use cases to demonstrate that they can be trusted. BDO
Five priorities for Boards
As AI becomes more embedded across the organization, Boards should challenge management around five core priorities.
1. Focus AI investment on measurable value
AI investment should support strategy, improve outcomes, and create measurable value.
The objective is not simply to increase the number of AI initiatives. Management should be able to explain how material AI investments support business priorities and what outcomes the organization expects to achieve.
This gives the Board a clearer basis for assessing whether AI investment is commercially justified and strategically aligned.
2. Establish clear accountability
Material AI use cases should have clearly assigned ownership.
BDO highlights the need for accountability across business, technology, data, and risk functions. This is particularly important because AI often cuts across traditional organizational boundaries.
Without clear ownership, accountability can become fragmented, making it more difficult to determine who is responsible for outcomes, controls, data, risk, and performance.
3. Create responsible speed
Not every AI application creates the same level of risk.
Governance should therefore be proportionate to the potential impact of the use case. Lower-risk applications should be able to progress efficiently, while higher-impact AI should be subject to stronger scrutiny.
This risk-based approach can help organizations avoid two extremes: allowing high-risk AI to advance without sufficient control, or applying unnecessary governance requirements to low-risk applications.
4. Require evidence of trust
Boards should not rely solely on assurances that AI systems are properly managed.
For material AI use cases, they should expect evidence that systems are secure, reliable, compliant, appropriately supervised, and performing as intended.
This moves AI governance beyond policy and intention. It requires management to demonstrate that the controls surrounding important AI applications are functioning in practice.
5. Build resilience before problems occur
Organizations also need to prepare for situations in which AI does not perform as expected.
BDO identifies potential scenarios including poor outputs, compromised systems, data exposure, vendor disruption, autonomous behavior, and contested AI-supported decisions.
Resilience therefore needs to be built into AI governance before an incident occurs. Boards should understand how the organization would identify, respond to, and recover from failures involving material AI systems. BDO
Boards need visibility, not only policies
Governance frameworks and policies are important, but they are not sufficient on their own.
Boards need practical visibility into how AI is being used and whether governance is working.
BDO recommends a focused Board dashboard that provides information across areas such as:
- value generated through AI;
- organizational exposure;
- control health;
- trust;
- resilience; and
- organizational capability.
AI governance is becoming a business governance issue
AI is already spreading through employee tools, vendor platforms, digital products, automation, and autonomous agents.
As a result, AI governance cannot sit solely within the technology function.
It increasingly intersects with strategy, operations, data governance, cybersecurity, risk management, compliance, procurement, third-party management, and internal control.
Boards therefore need a cross-functional view of AI adoption. They should understand where material AI use exists across the organization, who owns it, what value it is expected to generate, and what level of risk and oversight it requires.
Strong governance should enable speed
Governance and innovation should not be treated as competing priorities.
The purpose of effective AI governance is not to create unnecessary bureaucracy. It is to give the organization sufficient confidence and control to scale appropriate AI use more effectively.
This is particularly important because AI is evolving faster than many traditional policies, governance frameworks, and control models.
Boards therefore need sharper questions, clearer accountability, and better evidence rather than relying solely on static governance documentation.
Organizations that establish these foundations can move more quickly while maintaining control over the risks that matter most. BDO
The Board agenda is shifting
Boards that govern AI effectively can help their organizations move from experimentation toward scalable capability.
This can support faster innovation, more informed risk-taking, stronger resilience, and greater confidence among customers, employees, regulators, and investors.
The Board agenda therefore needs to move beyond a general discussion of whether the organization is using AI.
The more important questions are:
- Where is AI being used across the organization?
- Which use cases are material?
- Who is accountable for them?
- What value are they expected to create?
- What risks do they introduce?
- What evidence demonstrates that they are secure, reliable, compliant, and appropriately supervised?
- Is the organization prepared if they fail or behave unexpectedly?
AI will continue to evolve faster than many traditional governance models. Organizations that respond with clear ownership, proportionate controls, better evidence, and stronger resilience will be better positioned to scale AI with confidence.
The opportunity is not simply to adopt AI. It is to govern AI effectively enough to lead with it, scale it, and create sustainable value.
Source: BDO Global, The Board’s Role Has Expanded: From AI Awareness to AI Accountability. BDO