Agentic AI is poised for widespread adoption as more organisations harness it to transform operations, enhance productivity, and tackle complex business challenges. However, many CIOs and business leaders remain cautious—experimentation often leads to disillusionment when AI fails to deliver immediate, transformative results.

Join us in a conversation with Kenny Yeo and Adarsh Janakiraman as we uncover real-world use cases, practical implementation advice, and what the future holds.

Tune in to discover:

• Where We Are Today: While organisations recognise AI’s potential, many are restricting adoption to pilot projects. Identifying the right business problems remains a challenge, and scepticism persists due to difficulties in demonstrating clear ROI.
• Real-World Applications: From call centre automation to streamlining software development—plus integrating Vision AI to support field services.
• Key Concerns and Governance: Ensuring responsible AI practices, data security, and preventing AI-driven phishing or hallucinations—while balancing the risk of inaction.
• Future Predictions and Advice: Agentic AI will continue to enhance customer and user experiences and improve organisational efficiency. The cost of experimentation is dropping, fuelled by open-source frameworks. To maximise potential, businesses must collaborate with service providers and experts to identify ROI opportunities and keep pace with rapid innovation.