AI-Based Automation Training Course
Learn how to embed AI automation across your business or organisation
Course Details & Enrolment
| Course Details | |
|---|---|
| We deliver in-company training for businesses and organisations. | Enquire Now |
| Course length: 1 day (9.30am - 4.00pm) includes digital copies of materials and certification | |
Benefits
Following this training course, you will be able to:
- Define AI-based automation and its role in modern organisations
- Map and analyse business processes to identify automation opportunities
- Plan, test, and pilot AI automation initiatives using a structured framework
- Evaluate technical options, data requirements, and resourcing implications
- Balance value, risk, and governance considerations in automation decisions
- Produce a clear, documented automation pilot plan suitable for internal or external briefing
All attendees will receive attendance certification and digital copies of course materials
Course Overview
AI-based automation is rapidly moving from specialist teams into everyday business operations. Leaders and delivery teams are increasingly expected to identify where automation can remove friction, reduce cost, improve quality, and free up human time for higher-value work. This course is designed to demystify AI automation, focusing not on hype or tools, but on practical decision-making and planning that works in real organisations.
The workshop takes a technology-agnostic approach, helping participants understand what AI automation actually means in a business context, how it differs from traditional automation, and where it is most appropriate to apply. Rather than teaching a specific platform, the course equips attendees with a structured way of thinking about processes, data, risk, and value, enabling them to work confidently with internal teams, suppliers, or external partners.
Through a mix of short taught sections and guided exercises, participants will learn how to map existing processes, identify automation opportunities, and assess feasibility. Particular emphasis is placed on practical considerations such as data readiness, integration with existing systems, governance, and responsible use.
By the end of the session, attendees will have shortlisted realistic automation ideas relevant to their own organisation and produced a simple pilot plan. This ensures they leave not only with knowledge, but with tangible outputs they can take forward into planning, procurement, or internal delivery discussions.
Course Programme
Understanding AI Automation
- What AI automation is and is not
- AI automation vs rules-based automation
- Common business use cases across operations and service delivery
- Key components of successful automation initiatives
Process Identification and Mapping
- Spotting automation candidates
- Current-state and future-state mapping
- Where AI can augment or replace manual steps
- Embedding human-in-the-loop design
From Idea to Live Automation
- Planning, implementation, testing and piloting AI automation
- Measuring value and performance; success metrics and guardrails
- How AI automation impacts change management
Technical and Delivery Considerations
- AI models, workflows and orchestration concepts
- Data, integrations, and system dependencies
- Using internal teams vs outsourcing to suppliers
- An overview of AI automation platforms
Governance, Risk, and Responsible Use
- Data privacy and security considerations
- Compliance and auditability
- Ethical use and organisational safeguards
Interactive Exercise: Automation Pilot Planning
- Shortlisting automation opportunities
- Creating a pilot plan and success criteria
- Preparing a functional brief or specification
Next Steps: Roles & Responsibilities
- Key learnings and moving from pilot to rollout
Audience
This course is suited to any business roles looking to embed AI-automation into their workflows and processes.
Typical attendees include: business leaders, senior managers, operational managers, digital teams, and delivery professionals.
It is particularly relevant for those exploring how AI can be applied in a practical, low risk way within existing systems and governance frameworks.
No technical background is required, but attendees should have visibility of their organisation's processes, and the authority or influence to shape improvement initiatives.
Trainer

The AI-Based Automation Course will be led by Mark Barrett.
Mark has worked in AI and business automation for over 10 years, helping organisations harness the power of artificial intelligence and automation to transform their operations.
He holds an AI certification from Oxford Business School and is the founder of Automation Outcomes, a consultancy specialising in AI-enabled automation and Microsoft Power Platform implementations for SMEs and professional services firms.
Mark has extensive hands-on experience creating AI solutions with customers across Microsoft Copilot, ChatGPT, Claude, Google Gemini, and other leading AI platforms. His practical, business-focused approach ensures that attendees leave with actionable skills they can apply immediately, whether they are looking to streamline workflows, improve productivity, or develop an AI strategy for their organisation.
Read about Mark Barrett »