Agentic AI in Public Service Delivery- One-Day Training Programme

Agentic AI in Public Service Delivery

One-Day Training Programme designed to empower Government & Public Sector professionals on next-generation AI-driven governance.

We are pleased to introduce a specialised training programme on Agentic AI, designed to help government officials, public-sector teams, and professionals understand how next-generation artificial intelligence can transform service delivery.

As digital systems become increasingly central to governance, Agentic AI offers a major opportunity to enhance citizen services, automate routine processes, and enable proactive welfare delivery. This programme provides a practical, easy-to-understand introduction to how AI agents work and how they can be responsibly deployed in public systems.

What You Will Learn

  • 24/7 Multilingual Citizen Assistance: How AI agents can guide users, pre-fill forms, calculate fees, schedule inspections, and provide round-the-clock support.
  • Proactive Benefit Eligibility & Targeted Outreach: How AI can identify eligible beneficiaries, pre-fill applications, and reduce administrative burden.
  • Improving Efficiency in Public Service Delivery: Streamlining interactions, reducing delays, and supporting inclusive and accessible citizen engagement.
  • Simple, practical, and easy-to-apply learning for government departments and technology enthusiasts.

👤 Resource Person: Amal Shehu (CEO, VitalView AI)

Specialist in AI-driven public service platforms and digital governance strategies.

📅 Date: 16 December 2025

⏰ Time: 10:00 am – 5:00 pm

📍 Venue: Silver Jubilee Hall, Centre for Management Development, Thycaud, Thiruvananthapuram

🎟️ Registration Fee

  • ₹2,500 per person (including taxes)
  • ₹2,000 per person for groups of 3 or more from the same institution
  • ₹1,500 per Research Scholar / Student

🔗 Register Here: Agentic AI in Public Service Delivery


📞 Contact: 8714259111 |
0471-2320101 |
programs@cmd.kerala.gov.in

Empowering Digital Governance through Intelligent Public Systems.