Global Learning for Operational Leaders
Classroom
0 sessionsOnline / Live
0 sessionsIntroduction
Course overview
The first wave of generative AI gave employees a chatbot. The second wave, agentic AI, gives organisations software agents that plan, call tools and systems, and complete multi-step tasks with limited supervision: reconciling invoices, triaging service requests, preparing reports or coordinating procurement steps. Done well, agents remove whole layers of manual work; done badly, they act on wrong data, overspend or break compliance rules at machine speed.
This Aractech course gives managers and digital leaders a practical, vendor-neutral understanding of how AI agents work, where they create real value and how to keep them under control. Participants learn the building blocks (large language models, tools and APIs, memory, retrieval and orchestration), compare single-agent and multi-agent designs, and work through the full journey from use-case selection to pilot, measurement and scale.
Governance runs through every day: permissions and guardrails, human-in-the-loop checkpoints, monitoring, security threats such as prompt injection, and alignment with emerging AI regulation and ISO/IEC 42001. By the final day each participant has an agentic AI roadmap for one process in their own organisation.
What you will achieve
Learning objectives
- Explain how AI agents differ from chatbots, RPA and traditional automation
- Describe the core components of an agent: model, tools, memory, retrieval and orchestration
- Identify and prioritise processes where agents can deliver measurable value
- Design an agent workflow with clear goals, permissions and human approval points
- Evaluate build, buy and platform options for agentic AI
- Assess security, data protection and reliability risks specific to AI agents
- Set KPIs, monitoring and cost controls for agents in production
- Build a roadmap and governance model for scaling agentic AI
Who should attend
Target audience
- Digital transformation and innovation leaders
- CIOs, CTOs and IT managers
- Operations, finance, HR and customer service managers looking to automate processes
- Business analysts and process improvement specialists
- Risk, compliance and internal audit professionals overseeing AI
- Product and project managers delivering AI initiatives
Methodology
Learning approach
- Short expert briefings with live demonstrations of AI agents and orchestration tools
- Case studies of agent deployments in finance, customer service, procurement and IT
- Hands-on design workshops using no-code agent builders
- Group risk and governance exercises
- A personal agentic AI roadmap developed through the week
Complete course outline
Five focused days of learning and application
The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.
Day 1
From Generative AI to Agentic AI
- How large language models became agents: plan, act, observe, adjust
- Agents compared with chatbots, copilots and robotic process automation
- Where agents create value: customer service, finance, procurement, HR and IT
- Coffee break
- Where agents create value: customer service, finance, procurement, HR and IT (continued)
- Market landscape: platforms, frameworks and enterprise offerings
- Limits of today's agents: reliability, cost and hallucination
- Workshop: mapping candidate processes for agentic automation
Day 2
How AI Agents Work
- Core building blocks: model, instructions, tools, memory and knowledge retrieval
- Connecting agents to business systems through APIs and integration protocols
- Single-agent and multi-agent designs and when to use each
- Coffee break
- Retrieval-augmented generation for grounded, up-to-date answers
- Demonstration: building a simple agent with a no-code platform
- Practical exercise: designing an agent's goals, tools and boundaries
Day 3
Designing and Piloting Agentic Workflows
- Selecting the right first use case: value, data readiness and risk
- Process redesign: what the agent does and what people still own
- Human-in-the-loop and approval checkpoints
- Testing and evaluating agent performance before go-live
- Coffee break
- Testing and evaluating agent performance before go-live (continued)
- Build, buy or platform: evaluating vendors and total cost
- Case study: an invoice-processing agent from pilot to production
Day 4
Security, Risk and Governance of AI Agents
- Agent-specific threats: prompt injection, data leakage and tool misuse
- Access control, least privilege and audit trails for agents
- Monitoring, logging and incident response for autonomous systems
- Responsible AI, transparency and accountability for agent decisions
- Coffee break
- Responsible AI, transparency and accountability for agent decisions (continued)
- Aligning with AI regulation and the ISO/IEC 42001 management system
- Workshop: drafting an agent governance policy
Day 5
Scaling Agentic AI Across the Organisation
- Operating model: AI centre of excellence, roles and skills
- Measuring value: productivity, cycle time, quality and cost KPIs
- Managing compute costs and vendor dependency
- Change management and building workforce trust
- Coffee break
- Change management and building workforce trust (continued)
- Emerging trends in agent ecosystems
- Capstone: presenting an agentic AI roadmap for your organisation
FAQ
Frequently asked questions
What does Agentic AI for Business: Designing, Deploying and Governing AI Agents (DIT-025) cover?
This course covers Digital Innovation and Transformation through a structured five-day outline focused on practical application, discussion, and implementation planning.
When is the next available session?
The course schedule and fee are available on request. Contact Aractech for current availability and a quotation.
Who should attend this course?
Digital transformation and innovation leaders, CIOs, CTOs and IT managers, Operations, finance, HR and customer service managers looking to automate processes
Is bilingual course delivery available?
Yes. All course materials and presentations are provided in English, while bilingual explanation and discussion support may be available depending on the selected location and trainer availability. For example, when attending a course in Istanbul, you may request a Turkish-speaking trainer to explain the English course content in Turkish. Arabic explanation support may also be requested at this location. Other languages are available in selected cities. You can choose your preferred language support as an optional preference during registration.
How can I register for a session?
Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.
Is this course available online as well as classroom-based?
The schedule and fee, including any available delivery options, are available on request. Contact Aractech for details.
Where are classroom sessions delivered?
Classroom venues are confirmed in the schedule panel for each published session.
How long is the training programme?
The programme runs for five days, with up to five training hours per day, from 9:00 AM to 2:00 PM. Each programme includes a total of 25 training hours.
Quick request
Send quick request
Send a fast enquiry about this course and the academy team will get back to you.
Get a quotation
Request a formal quotation
Choose an available date and venue, add your participants, and we will email a formal quotation for Agentic AI for Business: Designing, Deploying and Governing AI Agents to your business address.