Public sector AI agents require clear goals security and data readiness
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
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:
- Identifying pain points - Agencies must pinpoint where AI can most improve workflows
- Security frameworks - Implementing centralized governance and permission models
- 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
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About the Author
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.