- Only 1% of enterprises are rated by McKinsey as AI-mature, meaning AI is fully integrated into their operational processes, while almost every company is currently investing in AI.
- Gartner predicts that over 40% of agentic AI projects will be abandoned before the end of 2027 due to a lack of strategy and appropriate governance.
- The core factor is not just technology but people: recruiting the right people, retaining talent through training, development opportunities, and a cultural environment that encourages learning.
- A Microsoft survey shows that 82% of leaders view AI skills as essential, but 60% of employees lack the necessary knowledge. Therefore, AI fluency must spread from the C-suite to frontline employees.
- AI should not be isolated within the technical team. Build an AI Center of Excellence (CoE) based on the 4E framework: Evangelism (inspiration), Enablement (training), Enforcement (accountability & goals), and Experimentation (testing and rapid innovation).
- It is necessary to build guardrails: guidelines on ethics, fairness, transparency, and compliance, while applying fairness testing, feedback mechanisms, and continuous observation.
- Avoid over-automating: AI should be used to augment human capabilities, freeing up repetitive tasks but keeping the focus on the knowledge and context that only humans can provide.
- Risks to manage: AI can cause hallucinations, model degradation, legal and reputational issues; solutions include monitoring, audit trails, and proactive feedback loops.
- Career development must be clear and accessible: share use cases, provide workshops and hands-on tools for both technical and non-technical roles, and recognize outstanding achievements.
- 5 foundations necessary for a successful AI structure: skills assessment, establishing directly accountable individuals, cultural change to embrace experimentation, maintaining the feedback loop, and adopting the customer zero model (where the enterprise becomes the first customer of its own developed product or solution before bringing it to market).
📌 Only 1% of enterprises are truly AI-mature, while 40% of agentic AI projects are expected to fail before 2027. The secret to success lies in people, not just technology: spreading AI fluency company-wide, building AI Centers of Excellence, establishing guardrails for AI use, and avoiding over-automation. The 5 necessary foundations for a successful AI structure are: skills assessment, establishing directly accountable individuals, cultural change to embrace experimentation, maintaining the feedback loop, and adopting the customer zero model, which means the enterprise becomes the first customer of its own developed product or solution before bringing it to market.
