About the Course

Organizations are moving beyond conversational AI toward systems that can plan, call tools, retrieve information, execute multi-step workflows and coordinate tasks with limited supervision. Agentic AI creates new opportunities for productivity and service improvement, but it also introduces operational, security and governance challenges because autonomous actions can affect systems, data, customers and business processes.

This advanced programme provides a practical, business-oriented foundation for designing and governing agentic workflows. Participants examine AI agents, tool use, memory, retrieval, orchestration, multi-agent patterns, workflow automation, human-in-the-loop controls, data connections, API concepts, evaluation, observability, security and deployment options. Hands-on work can be adapted to available platforms such as Microsoft Copilot Studio, Power Automate, n8n, Make, low-code agent builders or equivalent enterprise tools.

Participants progressively design an automation use case, map the workflow, define agent responsibilities, build or prototype an agentic process, establish human-approval gates and create monitoring and governance controls. The final capstone produces an implementation-ready workflow specification and deployment roadmap. Sponsoring organizations gain capability to distinguish appropriate agentic automation from risky over-automation and to scale practical use cases with stronger control.

Target Participants

This advanced course is designed for digital-transformation professionals, process-improvement teams, business analysts, operations managers, automation specialists, IT professionals, innovation managers, data teams, project managers, enterprise architects, technology consultants and functional leaders responsible for AI-enabled workflow transformation.

What You Will Learn

By the end of this course the participants will be able to:

• Differentiate agentic AI from chatbots, conventional automation and generative AI assistants.
• Identify business processes suitable for agentic automation.
• Design multi-step agent workflows with tools, memory, retrieval and decision logic.
• Configure human approval, exception handling and escalation mechanisms.
• Integrate agents with documents, data sources, applications and automation platforms.
• Evaluate agent performance using task, quality, reliability, cost and safety measures.
• Apply security, privacy and governance controls to agentic workflows.
• Prototype a practical agentic solution using an appropriate low-code or enterprise platform.
• Develop an operational monitoring and support model for deployed agents.
• Prepare a phased roadmap for enterprise agentic AI adoption.

Course Duration

• Classroom – 10 Days
• Online – 14 Days

Course Outline

Agentic AI Foundations

• From assistants to autonomous workflows
• Core characteristics of AI agents
• Planning, action and feedback loops
• Agent boundaries and autonomy levels
• Business use cases across functions

Process Discovery

• Process mapping for automation
• Task decomposition
• Decision points and dependencies
• Exception identification
• Suitability criteria for agentic automation

Agent Architecture

• Agent instructions and objectives
• Tool calling concepts
• Memory patterns
• Context management
• Guardrails and operating boundaries

Workflow Orchestration

• Sequential workflows
• Conditional branching
• Parallel task execution
• Event-driven triggers
• Workflow state management

Retrieval Design

• Enterprise knowledge sources
• Retrieval-augmented generation concepts
• Document indexing considerations
• Grounding responses in source material
• Access control for retrieved content

Tool Integration

• APIs and connectors
• Email and calendar actions
• Document and file operations
• Database and spreadsheet connections
• Business-application integration

Low-Code Automation

• Agent-builder concepts
• Workflow automation platforms
• Triggers and actions
• Variables and data mapping
• Reusable automation components

Human Oversight

• Human-in-the-loop design
• Approval gates
• Confidence thresholds
• Exception routing
• Manual takeover procedures

Multi-Agent Patterns

• Role-specialized agents
• Coordinator-worker models
• Agent handoffs
• Shared context and task routing
• Multi-agent failure risks

Prompt Operations

• System instructions for agents
• Task-specific prompt templates
• Tool-use instructions
• Output schemas
• Prompt version management

Evaluation Framework

• Task completion metrics
• Accuracy and groundedness
• Reliability across repeated runs
• Latency and cost measures
• Safety and policy-compliance testing

Observability

• Run logs and traces
• Failure monitoring
• Usage analytics
• Quality dashboards
• Feedback loops for improvement

Security Controls

• Prompt injection exposure
• Credential and secret management
• Least-privilege tool access
• Data leakage prevention
• Abuse and unauthorized-action controls

Governance Model

• Agent inventory
• Risk tiering
• Approval authority
• Change management
• Operational ownership and accountability

Deployment Planning

• Prototype-to-production gates
• Environment separation
• Testing and release criteria
• Support model
• Rollback and recovery planning

Service Operations

• Incident handling
• Agent maintenance
• Knowledge-source updates
• Performance tuning
• User support and adoption

Value Measurement

• Baseline process metrics
• Productivity and cycle-time measures
• Quality and error reduction
• Cost-benefit assessment
• Benefits realization tracking

Enterprise Scaling

• Platform standardization
• Reusable agent patterns
• Centre-of-excellence support
• Portfolio prioritization
• Enterprise architecture considerations

Capstone Build

• Use-case specification
• Workflow prototype
• Control and approval design
• Evaluation results
• Demonstration and peer review

Adoption Roadmap

• Target operating model
• Capability-building needs
• Governance milestones
• Phased rollout plan
• Executive implementation brief

Practical Outputs

• Agentic automation opportunity map
• Workflow process model
• Agent design specification
• Human-approval control matrix
• Prototype agentic workflow
• Agent evaluation scorecard
• Operational monitoring checklist
• Enterprise adoption roadmap

Training Approach

The programme uses live demonstrations, process-mapping workshops, low-code configuration labs, workflow prototyping, tool-integration exercises, failure simulations and governance design sessions. Participants build a progressively more capable agentic workflow while documenting controls, evaluation criteria and operating procedures. Platform choices can be adapted to the client’s technology environment.

Organizational Benefits

• Improved capability to automate complex multi-step processes
• Better distinction between safe automation opportunities and high-risk use cases
• Stronger human oversight of autonomous actions
• Reduced cycle time in repeatable knowledge workflows
• Improved integration of AI with enterprise tools
• Clearer governance for emerging agentic systems
• Reusable implementation patterns for scaling automation
• Better measurement of automation value and operational risk

Certification

Participants who successfully complete this course will receive a Certificate of Course Completion from Devimpact Institute, recognizing the knowledge, practical skills and competencies developed through the programme.

Tailor-Made Course

This course can be customized and delivered as an in-house programme to address the specific policies, systems, sector context and capacity-development priorities of an organization. The course duration, modules, case studies and practical exercises may be adjusted following a training needs assessment.