| Date | Venue | Fees | |
|---|---|---|---|
| 12 - 16 Apr 2027 | London - UK | $ 5,950 | |
| 06 - 10 Sep 2027 | London - UK | $ 5,950 | |
| 27 - 31 Dec 2027 | London - UK | $ 5,950 |
Introduction
Government organisations are adopting Agentic Artificial Intelligence (AI) to coordinate multi-step tasks, speed up public services and reduce administrative hand-offs. Unlike a chatbot or a fixed automation script, an AI agent can select approved tools, retrieve information and complete bounded workflow steps. Every action still follows defined permissions, checks and human approvals.
This GLOMACS' Agentic AI for Government Operations and Service Delivery training course helps government managers, public-service leaders and digital transformation teams move from AI experimentation to controlled service improvement. Using realistic scenarios in licensing, citizen enquiries, application checks and internal administration, participants assess use cases, design supervised agent workflows, test failure scenarios and build a measurable 90-day pilot proposal. Examples reflect ministries, municipalities and public authorities, and apply to government organisations internationally.
This Agentic AI for Government Operations and Service Delivery training course will highlight:
- Practical capabilities and limits of Agentic AI in government
- High-value opportunities for public-service automation
- AI-enabled workflows with clear human approval points
- Case handling, administrative productivity and citizen-service coordination
- Controlled implementation, monitoring and measurable outcomes
Objectives
By the end of this Agentic AI for Government Operations and Service Delivery training course, participants will be able to:
- Define the core capabilities and limits of Agentic AI in government
- Differentiate Agentic AI, Generative AI and traditional workflow automation
- Apply use-case scoring to prioritise AI-agent opportunities in public services
- Analyse service processes to design bounded agent workflows with human approval points
- Evaluate agent behaviour for accuracy, misuse, security and operational risk
- Develop a 90-day pilot proposal with baseline measures, owners and acceptance criteria
Training Methodology
This interactive Agentic AI for Government Operations and Service Delivery training course combines expert-led discussion, government case studies, instructor demonstrations and facilitated workflow-design exercises. Delegates use synthetic records in an approved training environment to model a public-service request, test normal and exception cases, and present a pilot business case.
Organisational Impact
Organisations that send employees on this training course can expect:
- Prioritised AI-agent use cases based on service value and risk
- Less administrative rework through better workflow design
- Clear accountability and least-privilege permissions for AI agents
- More consistent and responsive citizen-facing processes
- Governed pilots with baseline KPIs and review checkpoints
- Stronger collaboration between service, IT, data and risk teams
Personal Impact
Participants attending this Agentic AI for Government Operations and Service Delivery training course will gain the skills and confidence to:
- Recognise when AI agents are, and are not, appropriate
- Translate service requirements into controlled workflow designs
- Question agent outputs, permissions and autonomous actions
- Build test cases for errors, misuse and edge cases
- Work confidently with IT, data, risk and service teams
- Present a practical, evidence-based implementation proposal
Who should Attend?
This training course is designed for government professionals responsible for public services, administration and digital transformation. No programming experience is required; familiarity with government processes is helpful.
This Agentic AI for Government Operations and Service Delivery training course will benefit:
- Government department managers and directors of administration
- Public-service and municipal service managers
- Digital transformation and AI innovation officers
- Service improvement and operational excellence specialists
- IT managers supporting government services
- Public-sector risk and compliance professionals
- Agent Goals, Planning, Tool Use and Operating Boundaries
- Agentic AI, Generative AI and Robotic Process Automation Compared
- Government Use Cases in Internal Services, Citizen Enquiries and Case Management
- Use-Case Scoring: Public Value, Repeatability, Data Quality and Risk
- Workshop: Prioritising a Government AI-Agent Use Case
- Mapping Service Processes, Dependencies and Exception Paths
- Agent Architecture: Instructions, Tools, Trusted Retrieval and System Interfaces
- Human-in-the-Loop Approvals and Safe Stopping Conditions
- Approved Data Sources, Bilingual Accessibility and Traceable References
- Workshop: Building a Supervised AI-Agent Workflow Blueprint
- Service Request Classification, Routing and Follow-Up
- Licensing and Permitting Support with Officer Approval
- Document Completeness Checks and Grounded Information Retrieval
- Citizen Communications, Case Updates and Service Quality
- Workshop: Simulating a Citizen-Service Case with Officer Sign-Off
- Least-Privilege Permissions, Authorisation and Audit Trails
- Sensitive Information, Retention Rules and Identity Controls
- Prompt Injection, Incorrect Actions and Unreliable Outputs
- Agent Assurance: Edge-Case Testing, Logging and Rollback Plans
- Workshop: Creating an AI-Agent Risk and Control Checklist
- Pilot Scope, Ownership and Deployment Requirements
- Supplier Due Diligence, Integration and Procurement Considerations
- Pilot KPIs: Response Time, Correction Rate, Escalations and Service Quality
- Workforce Adoption, Assurance Reviews and Continuous Improvement
- Capstone: Presenting a 90-Day Pilot Plan with Go/No-Go Criteria
- Upon successful completion of this training course, GLOMACS Certificate will be awarded to the delegates. Continuing Professional Education credits (CPE): In accordance with the standards of the National Registry of CPE Sponsors, one CPE credit is granted per 50 minutes of attendance
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