Gartner Predicts 80% of Government Agencies

Gartner, a leading research and advisory firm in business and technology, forecasts that within the next two years (by 2028), at least 80% of government agencies worldwide will adopt AI agents to automate routine decision-making processes. This shift is expected to enhance operational efficiency and significantly improve public service delivery.

Daniel Nieto, Senior Director Analyst at Gartner, stated:
“Government CIOs are under increasing pressure to rapidly integrate AI into decision-making processes in a well-governed manner. The emergence of multimodal AI, conversational systems, and agentic systems is expanding the ability of public sector organizations to automate operations, gain deeper insights, and better predict future scenarios.”

Key Challenges: Fragmentation and Legacy Systems

One of the most persistent barriers to realizing value from AI in the public sector is fragmented strategy execution. A Gartner survey of 138 government organizations worldwide (conducted between July and September 2025) revealed that:

- 41% cited siloed strategies as a major obstacle
- 31% identified outdated legacy systems as a key issue

“Simply modernizing technology alone cannot solve these challenges,” Nieto added.

Governance Must Shift from ‘Models’ to ‘Decisions’

As AI evolves from experimentation to becoming integral in decision-making, governance approaches must also evolve. Traditionally, AI governance focused on managing models, data, and algorithms.

However, Decision Intelligence (DI) shifts the focus toward governing the decisions themselves, including:

- Decision design
- Execution
- Monitoring
- Auditability

This shift is critical for public sector organizations, where legitimacy depends on transparency and fairness.

Building Trust Through Transparency: XAI and Human Oversight

Gartner predicts that by 2029:

- 70% of government agencies will mandate the use of Explainable AI (XAI)
- Human-in-the-Loop (HITL) mechanisms will be required for all automated decisions impacting citizens

These elements ensure that decisions can be explained, audited, and challenged. They also preserve human authority in exceptional, high-risk, or appeal cases—maintaining accountability even as automation increases.



Citizen Experience Becomes the New KPI

While efficiency remains important, public trust is becoming a primary driver of digital transformation in government.

- 39% of respondents identified improving citizen satisfaction as a key investment driver
- 50% ranked citizen experience among their top three priorities

“As AI and Decision Intelligence make services more automated and seamless, the definition of citizen experience will evolve,” Nieto explained.
“When services are delivered proactively, direct interaction may decrease—making trust in fairness, transparency, and reliability even more critical.”



Conclusion

Decision Intelligence is enabling governments to redesign service delivery—from reactive, process-driven interactions to proactive, personalized engagement.

This transformation will:

- Increase consistency
- Reduce delays
- Improve fairness perception
- Strengthen public trust

Even as direct human interaction declines, trust, transparency, and accountability will become the cornerstone of AI-driven government services.


Source : Gartner
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