Gartner forecasts that at least 80% of governments worldwide will deploy AI agents to automate routine decision‑making by 2028, a shift that promises faster, more consistent service delivery but also raises urgent operational, workforce and governance questions for COOs, CHROs and government leaders across Asia.
The research, based on a 2025 survey of 138 government respondents, warns that successful adoption requires governments to move from model‑centric to decision‑centric operating models.
“Government CIOs are under growing pressure to embed AI into decision‑making capabilities rapidly and responsibly,” said Daniel Nieto, senior director analyst at Gartner. He added that the rise of multimodal and agentic systems has broadened the scope of what public organisations can automate, understand and anticipate.
For COOs, the appeal is clear: automation with AI agents can streamline high‑volume transactional workflows—from licence renewals to benefit disbursements—reducing processing time and operational costs while improving consistency.
However, operational leaders in Asia must plan for integration across fragmented legacy systems and siloed strategies; Gartner found 41% of respondents cited siloed strategies and 31% flagged legacy systems as barriers. That makes system interoperability, robust API governance and service re‑design top priorities for transformation programmes.
CHROs face a parallel mandate around workforce transformation. As routine decisions become automated, roles will shift from transaction execution to exception handling, oversight and continuous improvement.
Gartner expects human‑in‑the‑loop (HITL) designs and explainable AI (XAI) to become foundational — by 2029, 70% of agencies are predicted to require XAI and HITL for automated decisions that affect citizens.
HR leaders must therefore invest in reskilling, new recruitment profiles (data curators, decision designers, AI auditors) and revised performance frameworks that measure stewardship of automated services rather than purely transactional outputs.
For government policymakers and regulators in Asia, the strategic challenge is balancing efficiency gains with public trust. Gartner highlights that 50% of government respondents rank improved citizen experience among their top priorities.
Decision intelligence (DI) helps by making decision pathways explicit and auditable, elevating explainability from a technical feature to a governance necessity. Policymakers should therefore legislate standards for auditability, fairness testing and appeals processes while ensuring data residency and sovereignty concerns are addressed in multi‑jurisdiction deployments.
Practical next steps for leaders in Asia include piloting DI on low‑risk services, embedding XAI and HITL into procurement criteria, mapping legacy dependencies for phased modernisation and launching targeted reskilling programmes.
Done well, DI can shift citizen services from reactive casework to proactive, personalised engagement — but only if operational, workforce and regulatory plans evolve alongside the technology.
