Description
AI for Business Analysts – Practitioner
An advanced, hands-on programme focused on designing, specifying, and implementing AI-enabled solutions within real business environments
Course Overview
Duration: 3 Days
Delivery: Classroom, Live Virtual, or Private Group Training
Level: Practitioner
Certification: N/A
A hands-on, practitioner-level programme designed to move Business Analysts beyond AI awareness into real solution design, workflow automation, and delivery, helping them define requirements, prototype intelligent workflows, and apply governance, control, and business-focused thinking to AI initiatives.
Overview
Artificial Intelligence is no longer an emerging concept. It is actively reshaping how organisations design processes, deliver services, and make decisions.
For Business Analysts, this creates a shift in responsibility. The role is no longer just about defining requirements, but about connecting business problems to AI-enabled solutions that are practical, governed, and deliver real value.
This practitioner-level course builds on foundational knowledge and focuses on real-world application. Participants will learn how to translate business problems into AI solution designs, define AI-specific requirements, build AI-enabled workflows, and integrate AI into existing business processes with the right safeguards.
The focus is on doing, not just understanding.
Why This Course Matters
Many organisations are experimenting with AI, but struggle to move beyond isolated use cases and turn ideas into structured, workable solutions.
• Move from AI ideas to structured solution design
• Define AI requirements with greater clarity and confidence
• Design intelligent workflows that include controls and escalation
• Apply governance, risk, and accountability from the outset
Delivery Format
Duration: 3 Days
Format: Instructor-led, hands-on workshop
Delivery: Classroom, Live Virtual, or Private Group Training
Approach: Practical exercises, solution design, workflow mapping, and guided discussion
What You Will Learn
• Design AI-enabled solutions aligned to business objectives
• Define functional, data, performance, and governance requirements
• Apply AI use case thinking and solution blueprinting
• Build AI-powered workflows using no-code tools such as n8n
• Integrate tools like ChatGPT into business processes
• Design human-in-the-loop workflows with appropriate controls
• Identify and mitigate risks, bias, and ethical concerns
• Present and justify AI solutions to stakeholders
How You Will Apply It
Throughout the course, participants will work on practical, scenario-based exercises that move beyond theory into solution design and implementation thinking.
• Define requirements for an AI voice assistant solution
• Design AI-powered workflows and automation processes
• Build a working AI workflow using no-code tools
• Create a complete AI solution blueprint
• Present a capstone AI project aligned to a real business problem
Who Should Attend
• Business Analysts with foundational AI knowledge or who have attended AI for Business Analysts – Foundation – Ratio
• Senior Business Analysts and Lead BAs
• Product Owners and Product Managers
• Transformation and Change professionals
• Anyone involved in designing or delivering AI-enabled solutions
Course Content
Day 1 – AI Requirements and Solution Thinking
Focus: Moving from AI awareness to structured solution design
• How AI requirements differ from traditional system requirements
• Defining functional, data, performance, and explainability requirements
• Understanding probabilistic systems and performance thresholds
• Writing AI user stories and acceptance criteria
• Applying AI use case development techniques
• Building a clear AI use case linked to business value
• Practical workshop: define requirements for an AI voice assistant scenario
• Practical workshop: develop a structured AI use case
Day 2 – Automation and Intelligent Workflow Design
Focus: Designing and building AI-enabled business processes
• Identifying automation opportunities within business processes
• Mapping AI-enabled workflows with decision points and handoffs
• Introduction to no-code workflow tools such as n8n
• Designing AI-driven process automation
• Integrating AI tools into workflows such as ChatGPT and related services
• Designing human-in-the-loop control mechanisms
• Practical workshop: build an AI-powered workflow prototype
• Practical workshop: automate a real business scenario such as email triage or request routing
Day 3 – AI in Practice, Governance and Capstone Project
Focus: Applying AI safely, responsibly, and effectively
• Designing solutions using Voice AI and Computer Vision concepts
• Understanding AI governance frameworks and principles
• Managing risk, bias, transparency, and accountability
• Defining AI solution blueprints
• Measuring success criteria and business value
• Capstone project: define a real business problem
• Capstone project: design an AI-enabled solution with workflow and requirements
• Capstone project: present a solution blueprint and governance approach
Course Summary
By the end of this programme, participants will be able to:
• Design and define AI-enabled business solutions
• Translate business needs into structured AI requirements
• Build and prototype AI workflows and automation
• Apply governance and risk management frameworks
• Confidently contribute to AI initiatives within their organisation
Optional Next Step
For organisations looking to go further, this course can be followed by:
• AI Solution Design and Architecture Workshops
• AI Governance and Responsible Adoption Programmes
• Private team-based AI implementation sessions
Business Analysis, Digital Transformation & AI Specialist
Trainer, Consultant & Founder
This course is presented by Tolu
Tolu brings a combination of business analysis expertise, digital transformation experience, and hands-on AI implementation, helping organisations improve how they define requirements, design processes, and deliver change.
His work spans training, consulting, and startup delivery, giving him a perspective that connects structured analysis with real-world execution. He has supported professionals working towards BCS certifications, helped organisations improve business processes, and advised on transformation initiatives where clarity, structure, and stakeholder alignment are critical.
Alongside this, Tolu is Co-Founder and CEO of VIMEDRA, an AI healthtech startup focused on using technology to improve patient outreach and service delivery, where he explores AI capability development at scale.
This combination of roles means the course is grounded in how AI is actually being applied in business environments, not just theory. Tolu’s sessions focus on helping Business Analysts understand where AI fits, how to define it properly, and how to apply it in a way that delivers value while managing risk.
