The AI Payoff: Who’s in Control—and How Much Value Are You Losing?

Thailand Standard Time 8:00 AM - 11:10 AM (GMT+07:00) Orchestrating AI, Automation and Workflows — Maximising Business Value Through Continuous Quality The AI Business Value & Orchestration Questions • How can organisations move beyond isolated AI pilots and efficiency gains to measurable business outcomes? • What does it take to orchestrate AI agents, automation, people and organisational systems across end-to-end workflows? • How can leaders provide the business context, governance and human oversight needed to keep AI execution aligned with organisational priorities? • How can organisations maintain continuous quality, reliability and confidence as AI accelerates software development and day-to-day operations? The challenge is no longer simply deploying AI; it is orchestrating it across the organisation and building the quality, governance and confidence needed to deliver measurable value at scale. “AI creates its full business value when people, agents, automation and organisational systems work together towards measurable outcomes, with quality, governance and confidence-built in.” — OpenGov Asia The AI Payoff: Who’s in Control—and How Much Value Are You Losing? AI adoption is entering a new phase. The question is no longer whether organisations can deploy AI, but whether they can translate that investment into measurable outcomes. Efficiency matters, but the opportunity extends further, to revenue generation, customer experience, resilience, innovation and sustainability. Yet many organisations remain held back by disconnected AI pilots, isolated automation and fragmented workflows. AI orchestration connects AI agents, automation, people and systems across end-to-end processes, aligning execution with business priorities, controls and accountability. For organisations in Thailand, this means connecting AI ambitions with the realities of existing enterprise applications, legacy systems and operational processes. Successful orchestration requires more than connecting technology. Business context, visibility and human oversight are essential to ensuring AI operates within organisational priorities and risk boundaries. Deployment decisions must also consider data protection, security, hosting requirements and operational control. Meanwhile, AI is accelerating software development and changing how organisations build and operate applications. Traditional testing approaches can struggle to keep pace. Continuous quality engineering, supported by intelligent test design, automated execution and autonomous validation, helps organisations identify issues earlier, improve test coverage and accelerate delivery without compromising reliability. This requires a shift from testing as a final checkpoint to quality as a continuous capability across applications and workflows, with human oversight remaining central to governance and critical decisions. Orchestration connects AI to business priorities, while continuous quality supports reliable execution at scale. Together, they can enable Thailand’s public and private sector organisations to turn fragmented AI initiatives into a coordinated capability that delivers measurable business value, with governance, data control and operational resilience built in. Building a Coordinated AI Operating Model A coordinated AI operating model built for value and confidence enables organisations to: • MEASURE business impact across revenue, customer experience, resilience, innovation and sustainability • ORCHESTRATE AI agents, automation, people and organisational systems across connected, end-to-end workflows • GOVERN AI execution through business context, organisational policies, visibility and human accountability • ASSURE software and workflow quality through continuous testing, intelligent validation and increasingly autonomous quality engineering • SCALE AI with confidence through continuous evaluation, observability and resilient operations Critical Takeaways: • MOVE beyond isolated AI initiatives towards a coordinated strategy focused on measurable business outcomes • ORCHESTRATE AI agents, automation, people and systems across end-to-end workflows • STRENGTHEN governance through clear policies, human accountability, data control and appropriate oversight • ADDRESS deployment requirements by considering data protection, hosting options, security and operational control • ASSURE quality and scale with confidence through continuous testing, intelligent validation, autonomous quality engineering and resilient operations VIP Invitation For • Chief Data and Analytics Officers • Chief Digital Officers • Chief Information Officers • Chief Innovation Officers • Chief Operating Officers • Chief Technology Officers • Chief Transformation Officers • Directors and Heads of Data, Analytics and Information Management • Directors and Heads of Applications • Directors and Heads of Cloud Architecture • Directors and Heads of IT Infrastructure, Operations and Networks • Directors and Heads of Technology Capabilities and Innovation • Directors and Heads of IT and Application Security • Directors and Heads of Data Science • Directors and Heads of DevOps • Directors and Heads of Operations