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Public sector AI agents require clear goals security and data readiness

June 12, 2025•Unknown•Original Link•2 minutes
AI
PublicSector
DigitalTransformation

Workato's Bhaskar Roy outlines key steps for governments to harness agentic AI including setting objectives ensuring security and preparing data for citizen services

By GovInsider

Bhaskar Roy shares insights on AI agent adoption in the public sector Image: Workato

The Promise of Agentic AI in Government

Public sector agencies can tap into the transformative potential of Agentic AI by focusing on clear objectives, strong security measures, and data readiness, according to Bhaskar Roy, Chief of AI Products & Solutions at Workato.

Key areas where AI agents can make an impact include:

  • Citizen support services - Providing fast, personalized responses to queries
  • Workflow automation - Reducing manual processes like tax return inquiries
  • Democratization of technology - Using low-code/no-code platforms for wider adoption

Overcoming Adoption Challenges

Roy highlights three critical foundations for successful AI agent deployment:

  1. Identifying pain points - Agencies must pinpoint where AI can most improve workflows
  2. Security frameworks - Implementing centralized governance and permission models
  3. Workforce preparation - Helping employees collaborate with rather than fear AI replacement

Real-World Applications

Examples of successful implementations include:

  • A US government website where AI agents handle tax return inquiries after authentication
  • Sales teams reducing quote generation time from 40 minutes to 3 minutes using AI

The Path Forward

Roy emphasizes that democratization of AI tools will accelerate in coming years, with organizations expanding successful pilots across departments. Key to this expansion is:

  • Developing simple user interfaces that integrate multiple systems
  • Creating permission models for secure data access
  • Fostering organizational trust in AI capabilities

For more government technology insights, subscribe to the GovInsider bulletin.

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Baidu Wenku GenFlow 2.0 Revolutionizes AI Agents with Multi-Agent Architecture

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About the Author

Dr. Lisa Kim

Dr. Lisa Kim

AI Ethics Researcher

Leading expert in AI ethics and responsible AI development with 13 years of research experience. Former member of Microsoft AI Ethics Committee, now provides consulting for multiple international AI governance organizations. Regularly contributes AI ethics articles to top-tier journals like Nature and Science.

Expertise

AI Ethics
Algorithmic Fairness
AI Governance
Responsible AI
Experience
13 years
Publications
95+
Credentials
2
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