Agentic AI in action

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Public sector organizations around the world are already deploying AI agents and seeing meaningful results. From citizen-facing service delivery to internal compliance management, agents are helping agencies do more with constrained resources. The examples in this unit illustrate the breadth of what’s possible and highlight real outcomes being achieved today.

Chatbots: the familiar starting point

Chatbots are among the most widely deployed forms of agentic AI in the public sector, and many organizations already have experience with them. They’re a practical starting point because they’re relatively straightforward to deploy and deliver immediate, measurable value—both for citizens and for internal teams.

Citizen-facing chatbots help residents navigate public sector services without calling a phone line or visiting an office in person as seen in the following scenarios.

• The City of Montreal deployed an AI agent to help residents quickly find services, submit requests, and get answers to common questions, reducing call center volume and improving the overall resident experience.
• Région Sud in France implemented a Microsoft 365 Copilot-powered agent on their public website to help citizens find information about regional services faster and more easily.

Internal chatbots reduce the burden on staff and administrative teams as in this example.

• Sandia National Laboratories built SandiaAI Chat, an internal AI assistant that gives researchers and employees secure access to AI capabilities while maintaining the organization’s strict security and compliance requirements.

These examples illustrate an important distinction: agents can be deployed for both public-facing service delivery and internal operational efficiency. The same underlying technology configured appropriately serves both purposes.

Administrative automation

Administrative work is one of the highest impact areas for AI agents in the public sector. Processes like case management, permitting, benefits processing, and procurement are high-volume, rule-intensive, and often span multiple departments and systems. Agents can handle many of the steps in these workflows autonomously, with humans reviewing decisions at key checkpoints.

Beyond procurement—covered in depth in the accompanying video—agents are being applied to help improve civic experiences, such as:

• Permitting workflows: Receiving applications, verifying eligibility criteria, routing submissions to the appropriate reviewer, tracking status across the process, and notifying applicants of decisions or required follow-up actions, helping staff work efficiently while giving citizens a clearer, faster, and more transparent path through the permitting process
• Benefits processing: Triaging incoming applications, matching claimants to relevant programs based on stated circumstances, flagging incomplete or inconsistent submissions, and generating routing recommendations for staff review
• Case management: Tracking case history across multiple interactions, surfacing relevant precedents or similar cases, flagging upcoming deadlines, and generating status summaries for case workers picking up where a colleague left off. By supporting continuity of service, citizens benefit from smoother handoffs, quicker resolutions, and consistent care, no matter which staff member is assisting them.

The common thread across these scenarios is that agents handle the structured, repeatable parts of the process—freeing caseworkers and administrators to focus on the situations that require human judgment, sensitivity, and discretion.

Governance and data compliance

Public sector organizations operate in heavily regulated environments where compliance isn’t optional; it’s a legal and ethical requirement. AI agents help ensure compliance is maintained consistently, not only when staff have time to check, but continuously.

Compliance agents can:

• Monitor systems, data flows, and user activity in real time to detect anomalies or unauthorized behavior, helping identify potential policy violations before they escalate
• Correlate signals across identity, endpoint, application, and data environments to uncover complex or cross-system compliance risks that are difficult to detect through manual or siloed reviews
• Generate audit-ready reports, posture assessments, and policy baselines automatically, ensuring organizations always have up-to-date documentation for regulatory submissions and reviews
• Summarize incidents and assess impact scope (“blast radius”) to support faster, more accurate compliance reporting and regulatory response
• Trigger controlled, pre-approved remediation actions – such as isolating devices or disabling accounts – through human-in-the-loop automation to enable timely response while preserving accountability
• Check new documents against existing policies and enforce data governance rules, including ensuring sensitive data remains within defined compliance boundaries and that outputs align with Responsible AI standards

Together, these agentic capabilities shift compliance from a periodic, manual activity to a continuous, intelligence-driven function embedded across the full security and governance lifecycle, increasing both consistency and organizational resilience.

Important

Always configure agents that support compliance functions with clearly defined access controls, audit trails, and governance policies. The goal is to increase oversight capacity and consistency—not to automate decisions that require human judgment or legal accountability.

The business case for agentic AI

The value of AI agents in the public sector is increasingly well-documented. According to Microsoft research on frontier organizations, 82% of business leaders express confidence that AI agents will help expand their organization’s capacity over the next 12 to 18 months.

For public sector agencies, the returns are practical and mission-driven:

• Faster service delivery: Agents handle routine tasks continuously, including outside standard office hours and reduce wait times for citizens and clearing backlogs for staff. Agentic AI helps scale citizen services without scaling headcounts, handling millions of transactions annually without adding staff.
• Reduced administrative overhead: Automating repetitive, process-intensive work allows staff to focus on complex cases and high-judgment responsibilities
• Greater consistency: Agents apply rules uniformly across high volumes of transactions, reducing errors and improving compliance outcomes
• Extended capacity: Agencies can scale service delivery without proportionally increasing headcount—a critical advantage when resources are constrained, and demand is growing. Teams achieve higher productivity and lower service costs, boosting ROI through efficient spending.
• Accelerated innovation and investment decisions: Leveraging agentic AI to model scenarios, simulate potential outcomes, and coordinate actions among agencies boosts ROI by minimizing risks and avoiding unnecessary spending. This enables leaders to more effectively align budgets, infrastructure projects, and policies with real-world constraints, while also benefiting from faster feedback loops.

Public sector health, transport and local government organizations that have implemented agents report meaningful gains in processing speed, staff satisfaction, and citizen experience scores.