From Generative to Agentic AI: The Next Leap in Autonomous Government Workflows

Artificial intelligence (AI) is rapidly transforming the public sector, but the conversation is shifting. While generative AI has already delivered tangible improvements in content creation, citizen engagement, and knowledge management, a new paradigm—agentic AI—is emerging. This next leap promises to fundamentally reshape how government work gets done, moving from information and content generation to autonomous, multi-step workflows that can execute complex processes with minimal human intervention.

Understanding the Evolution: Generative AI vs. Agentic AI

Generative AI excels at creating content, summarizing documents, and answering questions. It acts as a highly capable assistant—responding to prompts, drafting reports, and providing recommendations, but always waiting for a human to take the next step. In government, generative AI has powered chatbots, automated case management, and accelerated the creation of public-facing materials, improving both efficiency and the citizen experience.

Agentic AI, by contrast, is a proactive team member. It can set its own goals, break down complex tasks, integrate with core government systems, make decisions, and adapt to new data in real time. Most importantly, agentic AI can execute multi-step processes end-to-end—such as processing a benefits claim, detecting fraud, or orchestrating emergency response workflows. This leap in autonomy means agentic AI can transform not just how information is accessed, but how government work actually gets done.

Real-World Use Cases: Agentic AI in Action

Automated Claims Processing

Imagine an AI agent that receives a benefits application, verifies eligibility by cross-referencing multiple databases, requests missing documentation, calculates entitlements, and issues a decision—all while flagging exceptions for human review. This is not a distant vision: agentic AI is already being piloted in highly regulated industries to streamline claims, reduce errors, and accelerate service delivery.

Fraud Detection and Prevention

Agentic AI can continuously monitor transactions, identify suspicious patterns, and autonomously trigger investigations or freeze payments. By integrating with financial, employment, and identity verification systems, these agents can reduce improper payments and protect public funds—freeing up human investigators for the most complex cases.

Disaster Response and Workflow Orchestration

Consider disaster response: agentic AI can coordinate logistics, allocate resources, and communicate with citizens across multiple agencies and jurisdictions. By automating routine coordination tasks, these agents enable faster, more effective responses to emergencies and evolving public needs.

The Roadmap: Piloting and Scaling Agentic AI in Government

Transitioning from generative to agentic AI is a journey that requires careful planning and execution. Here’s a proven roadmap for government leaders:

Secure Leadership Buy-In and Define Strategic Value
- Align stakeholders on the transformative potential of agentic AI—not just for efficiency, but for mission impact and citizen trust.
Identify High-Impact, Multi-Step Use Cases
- Start with processes that are rules-based, repetitive, and data-rich (e.g., claims, compliance checks, onboarding). Prioritize areas where automation can deliver measurable improvements in speed, accuracy, or cost.
Assess Data and Integration Readiness
- Map out data flows and integration points across legacy and modern systems. Agentic AI’s power lies in its ability to connect and act across silos—so interoperability is essential.
Develop and Test Pilots with Human-in-the-Loop Oversight
- Build small-scale pilots with clear guardrails. Ensure humans can intervene, audit, and continuously improve AI performance—especially for high-stakes decisions.
Establish Robust Governance and Ethical Frameworks
- Define policies for data use, model oversight, and responsible AI deployment. Address privacy, security, and bias from the outset.
Invest in Change Management and Workforce Upskilling
- Prepare staff for new roles in oversight, quality control, and creative problem-solving. Foster a culture of experimentation and continuous learning.
Scale Successful Pilots and Optimize Continuously
- Expand agentic AI to additional workflows, integrating feedback and lessons learned. Measure impact, refine processes, and adapt governance as needed.

Addressing the Challenges: Integration, Governance, and Change Management

Integration

Most government systems are fragmented and not designed for real-time, cross-agency automation. Agentic AI requires deep integration with core platforms (ERP, CRM, case management, etc.), robust APIs, and event-driven architectures. Agencies must invest in modernizing their tech stacks and breaking down data silos to unlock the full potential of agentic AI.

Governance and Risk Management

With greater autonomy comes greater responsibility. Agentic AI must operate within strict ethical, legal, and policy boundaries. Agencies need frameworks for:

Data privacy and security
Auditability and explainability of AI-driven decisions
Human-in-the-loop oversight for critical actions
Continuous monitoring for bias, drift, and unintended consequences

Change Management

Agentic AI will reshape roles and workflows. Agencies must proactively manage change—communicating the benefits, addressing concerns, and equipping employees with the skills to supervise, interpret, and improve AI-driven processes. Upskilling is essential, as new roles emerge in AI oversight, prompt engineering, and data stewardship.

The Importance of Ethical Frameworks and Human Oversight

Agentic AI’s autonomy amplifies the need for robust ethical frameworks and human-in-the-loop oversight. Agencies must ensure:

Transparent decision-making and audit trails
Mechanisms for human intervention in high-stakes or ambiguous cases
Continuous review to detect and mitigate bias or unintended outcomes

By embedding these principles from the outset, governments can build public trust and ensure that AI-driven automation aligns with democratic values and legal mandates.

Preparing the Workforce for the Future of Government Work

The shift to agentic AI is not just a technical transformation—it’s a workforce transformation. Employees will need new skills in:

AI oversight and quality control
Data stewardship and privacy management
Creative problem-solving and exception handling

Investing in upskilling and change management will be critical to realizing the full benefits of agentic AI while ensuring a smooth transition for public sector teams.

Why Publicis Sapient?

Publicis Sapient is a trusted partner for government agencies navigating the next phase of digital transformation. Our proprietary solutions accelerate the integration and orchestration of agentic AI across complex, regulated environments. We bring:

Deep expertise in public sector transformation and AI governance
Proven frameworks for piloting, scaling, and governing agentic AI
Human-centered change management to ensure adoption and trust
End-to-end support, from strategy and architecture to implementation and optimization

The Next Leap: Building a Future-Ready Government

Agentic AI is not just the next step in automation—it’s a new paradigm for government work. Agencies that act now will lead in efficiency, resilience, and citizen impact. By embracing agentic AI, government leaders can unlock new levels of operational excellence, deliver better outcomes for citizens, and set the standard for the future of public service.

Ready to explore the next frontier of AI in government? Let’s start the conversation.