Thought Leadership Report
Beyond Chatbots: Key Elements for a Successful AI Strategy in Government Public Services
From institutional foundations to citizen‑centric delivery in government public services
Introduction
Governments across the Middle East and other regions have articulated ambitions for the use of artificial intelligence in public services. These ambitions are supported by national strategies, dedicated AI and digital authorities, and investment in digital platforms. Despite this, the adoption of AI in government remains uneven, with many initiatives remaining localized, experimental, or limited in scope.
This white paper examines documented constraints that affect the adoption of AI in public services. It draws on published evidence, international assessments, and observed practices, including examples from the GCC, to outline institutional elements associated with the broader use of AI across government functions.
Why AI Adoption in Government Often Remains Limited
Global assessments, including the Government AI Readiness Index, OECD reviews, and UN analyses of digital government, identify recurring challenges in public‑sector AI adoption.
These include shortages of internal skills and AI literacy, fragmented data architectures, difficulties translating high‑level AI principles into operational practices, and unclear governance and accountability. These constraints have been observed across multiple jurisdictions, regardless of differences in technology maturity.
Key Elements for Scalable AI in Public Services
The paper identifies four focus areas that allow governments to shift from isolated pilots to institutional AI adoption:
Talent upskill
AI scales through people. Moving beyond tool‑centric training toward AI‑shaped roles, tiered capability models, and workflow‑embedded learning enables public‑sector staff to apply AI safely and consistently in day‑to‑day work.
National data platforms
Many AI initiatives underperform due to fragmented backend data and agency‑specific systems. Interoperable national data foundations, shared registries, and reusable infrastructure allow AI systems to operate across agencies rather than within silos.
Citizen centric, journey based AI
High digital adoption does not guarantee seamless experiences. Journey‑based AI focuses on re‑architecting services around life events, using AI‑powered front doors, intelligent routing, and cross‑agency orchestration to reduce friction, cycle time, and repeat contact.
Trustworthy AI by design
As AI becomes embedded in high‑impact public services, trust must be treated as strategic infrastructure. Clear accountability, transparency, privacy protections, fairness controls, and continuous monitoring are essential for scaling AI responsibly.
Why the GCC Is Uniquely Positioned
The paper highlights several structural and institutional enablers that position GCC governments to lead in AI‑enabled public services, including strong national AI mandates, mature digital foundations such as digital identity and unified registries, smart‑city and giga‑project testbeds, centralized execution capacity, and relatively high public trust paired with rising service expectations.
The Path Forward
Moving beyond AI pilots requires a deliberate shift in how government institutions are designed to operate.
Progress depends on investing in people as the primary scaling mechanism, strengthening interoperable national data foundations, redesigning services around citizen journeys, and embedding trust and governance directly into AI lifecycles. When these elements come together, AI can move from fragmented experimentation to a reliable, mission‑critical capability that delivers measurable public value across government.
About the Authors
Ahmed Soliman
Senior Manager, Professional Services
Amira Othman
Lead Analyst, Professional Services
Safa Abdallah
Associate Manager, Design
