Why delegating AI adoption to the IT department doesn’t work, and where the CIO’s role actually begins
Business-successful AI adoption requires close collaboration between the CEO and CIO, based on a clear division of responsibilities and proper sequencing of their activities. Research shows that organizations achieving the highest value from AI adoption share one common characteristic: active commitment from top management throughout the entire implementation process.
The essential understanding here is that AI adoption is not an IT project. It is a business transformation in which CEO, leaders, managers and process owners must first fulfil their role, and only then does the CIO step in with technical preparation and implementation. When this sequence is reversed, business results either fail to materialize or remain limited to minor task improvements and efficiency gains. This is not enough to strengthen competitive position in the market or brand recognition in the eyes and hearts of customers.
Business-successful AI adoption critically depends on proper preparation. Below, we present four areas of AI readiness. For each area, we clearly define what falls under the responsibility of business leaders and the CEO, what you can expect from the CIO, and what you must not delegate to him/her.
What Does It Mean to Be AI-Business Ready
AI-Business Ready is an organizational capability to consciously connect artificial intelligence with strategic and business objectives, people, and measurable business value. It requires readiness across four key areas.
1. Business-Ready: Why Are We Implementing AI at All?
Business leaders’ responsibility: CEO, business managers, process owners
Before anyone begins preparation for implementation, business leaders must answer the fundamental strategic question: What value do we want to create with AI, and what do we want to achieve strategically?
At this stage, the CEO and board define the AI ambition: Do you only want to AI automate work tasks and optimize costs? Do you want to create new value for customers? Do you want to achieve competitive advantage in the market? Do you want to break through to the top of your industry? This is a strategic decision about which business constraints AI should remove and how it will affect your position with customers and in the market.
The AI ambition must therefore be aligned with the business strategic ambition and business objectives, from which business managers then identify AI opportunities. Of course, the CIO can help with this, primarily through their knowledge of processes and AI solution capabilities. However, it is the business leaders who define measurable business objectives with KPIs for each AI opportunity, prepare the business case, and calculate the expected ROI. These are business tasks that primarily require business judgment.
What you can expect from the CIO: The CIO is a partner in identifying AI opportunities, contributing knowledge of AI capabilities and organizational processes. They help understand what is feasible and where the limitations lie. However, they cannot play this role optimally without clear strategic direction. Research shows that nearly one-third of CIOs are uncertain about what the CEO actually expects from them regarding AI.
What you must not delegate to the CIO: defining the organization’s AI ambition; strategic decisions about what you want to achieve with AI; setting business objectives and KPIs; prioritizing AI opportunities; preparing business cases and calculating ROI.
2. Organization-Ready: Are Our People Prepared?
Business leaders’ responsibility: Board together with the HR Director
This step is often overlooked, which is the main reason for difficulties in AI implementation. Before you address processes, data, and AI solutions, you must prepare your people. This includes assessing the readiness of managers and employees for change, developing a change management strategy, raising AI literacy, and establishing AI governance with clear roles and responsibilities.
Business managers must clearly define each key stakeholder’s needs and the value they will gain from AI implementation—both directly (e.g., less repetitive work) and indirectly (e.g., new knowledge, more interesting tasks). Without this clarity, implementation will meet resistance.
What you can expect from the CIO: The CIO contributes to understanding AI possibilities and limitations, which forms the basis for realistic expectations. They participate in designing the AI governance framework and can lead training on using specific AI tools. They help understand what AI can and cannot do.
What you must not delegate to the CIO: leading change management; motivating employees; communicating the value of AI to employees; decisions about organizational changes; the role of “AI evangelist,” which must belong to business managers—otherwise, the entire initiative will take on a purely technological meaning.
3. AI-Ready: Do We Have the Right Foundations?
Shared responsibility: Process owners + CIO/CDO
Only when business direction is clear and the organization is prepared for change does the preparation of processes and data follow. Process owners assess the suitability of business processes for AI, while the CIO/CDO leads the assessment of data maturity. Together, they then design specific AI use cases.
Process owners must document and analyze processes connected to the identified AI opportunities, identify gaps, and prepare the foundation for designing AI use cases. Throughout this work, they continuously verify the connection to business objectives: Do the proposed AI use cases truly address the identified AI opportunities and contribute to strategic business ambitions?
What you can expect from the CIO: Here, the CIO takes on a more active role. They lead the assessment of data maturity and identify data gaps. In designing specific AI use cases, they collaborate with business process owners. The CIO contributes technical feasibility assessments and helps business managers reach realistic expectations of what can be achieved.
What you must not delegate to the CIO: assessing business process suitability; independently designing AI use cases without active collaboration from business managers; the final decision on which AI use cases will be implemented; verifying the connection to business objectives.
4. Implementation-Ready: How Do We Execute?
Shared responsibility: CIO for technical execution, business managers for business validation
The final preparation stage includes closing identified gaps, creating prototypes, selecting AI solutions and vendors, and executing AI projects while measuring their impact and contribution to strategic and business objectives.
What you can expect from the CIO: The CIO is the primary support to the project manager in executing AI projects, primarily ensuring the technical quality of implementation. You can expect them to alert you to risks and propose solutions—especially when the CIO understands that the ultimate success is not deployment, but achieved business value.
After solution deployment, business managers monitor the realization of benefits against the defined KPIs. Based on measurements, they propose any necessary corrections to AI solutions. This ensures that pilots do not end as isolated experiments.
What you must not delegate to the CIO: the decision on organizational readiness for transition to regular use; business manager involvement after project launch; monitoring KPIs and proposing corrections; reporting on the realization of business impact; responsibility for ensuring that employees actually use the AI solutions.
What This All Means for the CEO
From all the above, it becomes even clearer that AI adoption is not an IT project, it is a business transformation that requires active involvement of business leaders across all four readiness stages. If you leave the entire process to the CIO, you are placing them in a role and responsibility that business leaders should assume. And since AI adoption results are not meant only for you, but primarily for your customers and the future of your organization, the CIO does not and must not have a primary or decisive role in this.
Concretely, this means: CEO accept responsibility for defining the AI ambition and AI business objectives; the CHRO, together with you, leads the preparation of the organization for change; process owners are responsible for process readiness; the CIO leads technical preparation and AI project execution, but in close collaboration with business owners; the CFO ensures oversight of investments and ROI monitoring.
A reasonable CIO will welcome this division of responsibilities, as it allows them to fulfil their role to the best of their ability. The wise CEO will also understand that their active involvement is not just an unavoidable inconvenience or extra work, but a prerequisite for the successful adoption of AI that benefits all stakeholders.
If you want to properly prepare your organization for business-successful AI adoption based on the AIVaaS™ (AI Value as a Service) business model, which includes the four readiness stages discussed above, please contact me.