PodChats for FutureCIO: The Critical Need for a Unified AI Vision Artwork

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PodChats for FutureCIO: The Critical Need for a Unified AI Vision

August 08, 2025 • CXOCIETY | FutureCIO FutureCFO FutureIoT • Season 6

A unified AI vision serves as the North Star for enterprise-wide AI adoption, ensuring all departments work toward common strategic objectives. Without this alignment, organizations risk fragmented investments, duplicated efforts, and missed opportunities for transformation. A cohesive vision enables CIOs to prioritize initiatives that deliver measurable business value, while fostering cross-functional collaboration between IT, business units, and leadership. It also facilitates better resource allocation, accelerates time-to-value, and builds organizational consensus around AI's role in driving competitive advantage and operational excellence.
In this PodChats for FutureCIO, C K Tan, APJ Innovation Officer at ServiceNow, shares his perspective on the critical need for a unified AI vision.

1. What does a "unified AI vision" mean in practice, and why is it critical for CIOs to champion this now? [why AI maturity dipped? – get copy of report]

2. How can organisations in Asia align AI investments with core business strategy and measurable KPIs to demonstrate clear ROI?

3. What proven metrics and maturity models can leaders use to track progress toward enterprise-wide AI adoption and competitive advantage?

4. How should the CIO and CFO jointly measure, report, and justify the business value of AI investments to stakeholders?

5. How can CIOs foster cross-functional collaboration to break down silos and prevent AI solution sprawl?

6. What governance frameworks are currently in place to manage AI risks, ensure accountability, and maintain regulatory compliance? What gaps remain, especially in the APJ region?

7. AI adoption brings cultural and operational disruption. What change management strategies should organisations deploy to build workforce trust and accelerate adoption?

8. AI risks exacerbating technical debt if not integrated thoughtfully. Based on early 2025 lessons, how can CIOs embed AI into legacy workflows without creating long-term liabilities?

9. How should CIOs articulate the long-term AI tech debt strategy—and its financial implications—to the CFO and Board?

10. Into 2026, what is your advice for CIOs and other technology leaders as they build and sustain a unified AI vision across their organisations?