Applied AI Agents Bootcamp
What will you learn
01 Identify agentic AI opportunities Find and validate high-value organisational processes where AI agents can create measurable value. | 02 Design agentic workflows Translate current business processes into future-state workflows with agents, automation and human decision points. | |
03 Build an agent prototype Configure, test and progressively improve an AI-agent solution around a real organisational use case. | 04 Connect tools and information Design the knowledge, data, tools, actions and integrations required for reliable agent execution. | |
05 Test and govern responsibly Evaluate performance, manage autonomy and risk, and build human oversight and escalation into the solution. | 06 Move toward implementation Build the business case, adoption approach and practical 90-day roadmap for controlled implementation. |
Built for professionals who work with information
- AI champions responsible for driving adoption within their organisations
- Digital transformation and innovation teams
- Business and process transformation professionals
- Process owners with workflows suitable for AI-enabled redesign
- Automation and intelligent-automation teams
- Business analysts and product owners
- Technology professionals working on applied AI initiatives
- Functional leaders seeking to implement an agentic use case
- Project and programme managers responsible for AI initiatives
- Professionals who have already experimented with GenAI and are ready to move into implementation
- Cross-functional teams seeking to develop an organisational AI-agent prototype
No technical or programming background required.
Explore the sixteen modules designed to build practical capability for identifying, designing, building, governing and scaling agentic AI solutions in the enterprise.
Module 1: Agentic AI Foundations & Enterprise Opportunities
What you'll explore:
- Understanding the evolution from generative AI to agentic AI
- Distinguishing assistants, automations and autonomous agents
- Understanding different levels of agent autonomy
- Exploring enterprise agent use cases across business functions
- Identifying how agentic AI can reshape business processes
Module 2: Designing the Anatomy of an AI Agent
What you'll explore:
- Defining clear objectives and success criteria
- Developing agent instructions and operating boundaries
- Designing context, knowledge and memory requirements
- Identifying required tools and actions
- Establishing guardrails, approvals and escalation mechanisms
Module 3: Process Discovery & Opportunity Identification
What you'll explore:
- Mapping existing business processes
- Identifying manual work, bottlenecks and repetitive activities
- Identifying information and decision-intensive steps
- Locating opportunities for AI-agent intervention
- Defining the problem before selecting the technology
Module 4: Use-Case Selection & Business Case Definition
What you'll explore:
- Assessing business value and strategic relevance
- Evaluating technical and process feasibility
- Assessing data and knowledge readiness
- Evaluating risk and governance requirements
- Defining baseline metrics and expected business outcomes
Module 5: Agentic Workflow Design
What you'll explore:
- Translating the current process into a future-state workflow
- Defining agent triggers and task sequences
- Designing decision and branching logic
- Defining human handoffs and approval points
- Designing exception and escalation pathways
Module 6: Agent Instructions & Prompt Engineering
What you'll explore:
- Designing clear system and agent instructions
- Providing context and business rules
- Defining constraints and prohibited behaviours
- Designing structured inputs and outputs
- Testing and refining instructions against realistic scenarios
Module 7: Knowledge, Data & Context Design
What you'll explore:
- Identifying the information the agent requires
- Assessing source quality and reliability
- Designing grounding and retrieval approaches
- Managing permissions and access boundaries
- Establishing processes for maintaining agent knowledge
Module 8: Building the First Agent Prototype
What you'll explore:
- Configuring the initial agent
- Connecting instructions and knowledge
- Configuring tools and actions
- Running initial test scenarios
- Capturing lessons and prioritising improvements
Module 9: Automation, Tools & Enterprise Integration
What you'll explore:
- Connecting agents with business applications
- Understanding connectors, APIs and automation workflows
- Designing triggers and downstream actions
- Managing authentication and permissions
- Designing reliable interactions between AI and enterprise systems
Module 10: Advanced Agentic Workflow Patterns
What you'll explore:
- Designing sequential agent workflows
- Understanding event-driven agent execution
- Combining deterministic automation with AI decisions
- Designing human-agent collaboration patterns
- Selecting appropriate patterns for different business scenarios
Module 11: Multi-Agent Systems & Orchestration
What you'll explore:
- Understanding when multiple agents add value
- Designing specialist agent roles
- Delegating tasks between agents
- Coordinating information and outputs across agents
- Managing complexity, control and accountability in multi-agent environments
Module 12: Testing, Evaluation & Responsible Agentic AI
What you'll explore:
- Developing comprehensive agent test scenarios
- Evaluating accuracy, reliability and task completion
- Testing edge cases and failure scenarios
- Designing governance, human oversight and escalation controls
- Measuring both agent performance and business outcomes
Module 13: Production Readiness & Agent Operations
What you'll explore:
- Moving from prototype to controlled implementation
- Defining security and access requirements
- Establishing monitoring and performance management
- Designing exception-management processes
- Defining operational ownership and support responsibilities
Module 14: People Adoption & Human-Agent Collaboration
What you'll explore:
- Understanding how agents change roles and workflows
- Identifying capability and skills requirements
- Building trust in agent-supported processes
- Designing communication and adoption interventions
- Measuring usage, adoption and behavioural change
Module 15: Scaling Agentic AI Across the Organisation
What you'll explore:
- Moving from individual solutions to an agent portfolio
- Establishing reusable standards and components
- Defining governance for agent development and deployment
- Prioritising investment across agent opportunities
- Developing an organisational approach to scaling agentic AI
Module 16: Capstone: From Prototype to Implementation Roadmap
What you'll explore:
- Demonstrating the organisational agent solution
- Presenting the redesigned business workflow
- Articulating expected business value and KPIs
- Presenting risks, controls and adoption requirements
- Developing a practical 90-day implementation roadmap
PRACTICAL TOOLS & RESOURCES
You will walk away with
A practical toolkit to help you identify, design, build, test and implement agentic AI solutions in your organisation.
| ✓ | Capstone organisational agent prototype / design Developed around a real organisational use case and supported by practical implementation resources. |
01 Four workplace homework assignments linked to the participant's organisational use case | 02 1-hour individual mentorship per participant |
03 AI Agent Use-Case Library across multiple functions and industries | 04 Agent Opportunity Identification Canvas |
05 Use-Case Prioritisation Framework | 06 Current-state process mapping template |
07 Agentic workflow-design template | 08 Agent Design Canvas covering objectives, instructions, knowledge, tools, actions and guardrails |
09 Agent instruction and prompt library | 10 Knowledge and data readiness checklist |
11 Human-in-the-loop and escalation-design template | 12 Agent testing scenario library |
13 Agent evaluation scorecard | 14 Responsible agentic AI and governance checklist |
15 Agent business-case template | 16 Implementation readiness assessment |
17 Stakeholder and adoption-planning template | 18 90-day implementation roadmap |
Practical resources you can keep using beyond the programme and apply directly to agentic AI opportunities in your organisation.
Schedule
Programme details to be announced soon; watch this space.
Connect with our team
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Dhisha Viswanathan
Programme Advisor - Digital Programme
