Testing the Limits: AI Test Automation Driving Digital Government Agility

Embedding Quality Engineering at the Heart of Agile Transformation

In today’s digitally charged environment, innovation no longer moves in linear cycles - it evolves continuously, fuelled by agile development, cloud-native services, and increasingly AI-driven architectures. As agencies rapidly modernise, pressure to deliver seamless, resilient digital experiences at unprecedented speed, has never been greater. But speed alone is not a competitive advantage if quality is compromised. 

As agile development and cloud-native architectures take root across Southeast Asia, especially in high-expectation markets like Singapore, software testing has become more than a technical process - it is now a business imperative. Traditionally viewed as a bottleneck, testing must evolve into a strategic pillar of quality engineering: integrated, intelligent, and future-ready. 

AI-powered test automation is redefining the boundaries of what’s possible. By embedding AI throughout the software delivery lifecycle - from test creation and risk-based prioritisation to release validation and monitoring - organisations can dramatically reduce time to market while strengthening software quality. These capabilities are no longer optional; they are essential for enabling predictive quality, reducing test maintenance, and proactively managing risk across complex, hybrid IT environments. 

The shift from reactive quality control to proactive quality intelligence requires a reimagining of testing strategies. Today’s quality engineering must support continuous delivery pipelines, anticipate system failures, validate third-party integrations, and align with real-world user behaviours. With generative AI now entering the quality engineering space, even non-technical stakeholders can participate in testing cycles, democratising access and scaling innovation. 

In Singapore’s Smart Nation ecosystem, where seamless, secure, and citizen-centric services are a national priority, these capabilities are critical. Forward-thinking agencies must embed intelligent testing at every level - turning it from a fragmented afterthought into a continuous, AI-augmented engine of resilience and trust. 

The session will allow delegates to:

• EMBED AI-powered test automation into DevOps and agile delivery pipelines to drive modern quality engineering, enabling faster innovation while proactively managing risk in complex public sector environments.
• AUTOMATE end-to-end quality processes to ensure consistent application performance and resilience across hybrid, cloud-native, and legacy systems - crucial for delivering secure, citizen-centric digital services.
• ESTABLISH intelligent test governance frameworks that align with public sector priorities around security, compliance, and agility - ensuring strategic oversight, transparency, and accountability at every stage.
• SCALE quality engineering practices across departments and digital initiatives to boost operational confidence, improve delivery velocity, and embed resilience into the core of government transformation efforts.

Who should attend:

• Chief Development Officers 
• Chief Software Development Officers 
• Chief Technology Architects 
• Director of Quality Assurance 
• Director of Software Development 
• Director of Product Development 
• Director of Agile Development 
• Director of Information Technology 
• Director of IT Service Strategy & Automation 
• Director of IT Applications Delivery 

• Director of IT Architecture 

• Director of IT Operations 

• Director of IT Quality Management 

• Director of Enterprise Quality Assurance 

• Head of Testing 

• Head of Quality 

• Head of Agile or Tools 

• Head of Software Development 

• Head of Product Development 

• Head of Information Technology