Driving Successful Agentic AI Use Cases Through a Robust and Trusted Data Foundation
Singapore stands at the forefront of public sector AI adoption, setting the pace for the region – and beyond. Strategic early investments in digital infrastructure, robust data governance and cutting-edge AI capabilities have created a powerful launchpad for responsible innovation.
A new frontier is emerging – Agentic AI. Unlike traditional models that assist in isolated tasks, Agentic AI systems are built to operate with autonomy. This next wave of intelligence has the potential to redefine how governments function, especially in domains that demand nuanced judgment, policy interpretation or real-time responsiveness. Singapore is beginning to explore this space with curiosity and intent – not to replace humans, but to augment their capabilities in a rapidly evolving environment.
Early use cases are taking shape. Yet such progress is only possible when agents are built on high-quality, contextual data. Feeding AI agents with accurate, well-structured information ensures they operate as intended – aligned with policy objectives, sensitive to nuance and capable of adapting to real-world complexity.
The principle is clear: quality in, quality out. The effectiveness of Agentic AI hinges on the integrity of its inputs. Well-labelled, timely, and contextually relevant data doesn’t just improve performance – it determines whether agents are helpful or harmful, insightful or inaccurate. Singapore’s strong foundation in data governance provides the confidence to test and iterate safely, ensuring that outcomes are explainable, traceable and aligned with public intent.
Already, tangible wins are emerging. AI agents are demonstrating their value in orchestrating complex processes, identifying policy bottlenecks, accelerating approvals, and even providing decision support in sensitive, time-bound scenarios. These successes are not one-size-fits-all; they are the result of rigorous exploration into what works, under what conditions, and where human oversight remains essential.
As Singapore deepens its exploration of Agentic AI, broader questions emerge – not only about the capabilities of these systems but about their role in advancing the public good. The challenge is no longer purely technical; it is strategic, ethical and institutional.
What kinds of decisions should be delegated to autonomous systems? How can accountability be embedded in agents that operate with minimal oversight? And as these systems become more capable, how can institutions ensure they remain focused on delivering tangible outcomes that matter to citizens?
The success of Agentic AI will not be defined by novelty alone, but by the ability to achieve meaningful use cases at scale – safely, reliably and in alignment with public intent. Real progress lies in building systems that not only function autonomously but also deliver measurable value in complex, real-world conditions.
Now is the time to move with intent – - to test boldly, govern wisely and shape the future of Agentic AI from the front.
Strategic Agentic AI Deployment for Real Outcomes
Strategic deployment of Agentic AI begins with clear, outcome-driven objectives – aligning each use case to specific public sector needs. By focusing on measurable impact rather than experimentation alone, agencies can ensure that autonomous systems deliver real value where it matters most.
AI-Powered Insights for Proactive Governance
Agentic AI holds the potential to transform complex workflows by autonomously coordinating tasks, adapting to real-time inputs, and reducing manual intervention. Unlocking this capability requires not just technical readiness, but thoughtful integration into existing systems and processes to maximise efficiency and scalability.
Robust, AI-Optimised Data Foundation for Seamless Integration
A robust, AI-optimised data foundation is critical to enabling seamless integration and ensuring the accuracy and reliability of Agentic AI systems. By establishing comprehensive data governance frameworks and prioritising data integrity, public sector organisations can unlock the full potential of AI, driving impactful and efficient outcomes across various domains.
The session will allow delegates to:
- EXPLORE the potential of Agentic AI to autonomously enhance governance
- FOCUS ON achieving scalable, measurable use cases through Agentic AI
- PRIORITISE high-quality to ensure Agentic AI systems perform accurately and effectively
- PILOT Agentic AI use cases with strategic intent while maintaining robust governance frameworks
- TACKLE the strategic, ethical, and institutional questions surrounding Agentic AI deployment
Who should attend:
- Chief Information Officers
- Chief Data Officers
- Chief Transformation Officers
- Chief Technology Officers
- Chief Digital Officers
- Chief Analytics Officers
- Chief Innovation Officers
- Directors and Heads of Analytics and Information Management
- Directors and Heads of Applications
- Directors and Heads of Cloud Architecture
- Directors and Heads of Data
- Directors and Heads of Technology Capabilities and Innovation
- Heads of Data Science
