Yet the study reveals there is no consensus on AI adop�on strategy. say they want to stay true to their purpose and success model in exploring how they might leverage AI want to wait and see how AI gets use in their industry and follow the lead of others 25% want to establish an enterprise-wide AI strategy to maximize its benefits to the company 28% want to experiment and take risks with AI to maximize its benefits 23% 23% Q. Rank three areas in order of importance to your company's leadership regarding the use of AI in the enterprise. And not enough metrics to measure success. Without KPIs, organiza�ons will struggle to demonstrate AI’s value and gain internal trac�on for its adop�on. 72% say they need be�er KPIs to measure the success of AI implementa�ons Q. Which statement most closely matches how you feel about measuring the success of and financial return on AI implementations? Although the appe�te for organiza�ons to become “AI-ready” is high, there are plenty of obstacles to ge�ng there, including unclear paths forward, the need to revamp the company’s opera�ng model, and determining how to best measure the success of AI implementa�ons. With the prolifera�on of large language models (LLMs), more and more enterprises will opt to create their own custom models as their use of the technology matures. GenAI is about crea�ng data and content specific to our needs — it is an extension of our people, our data and our processes and needs to be adapted to enterprises to drive maximum value. – Phil Fersht, CEO and Chief Analyst, HFS Research TCS AI for Business Study Key Findings Report 11