01
Complete an AI Project Canvas
Map problem definition, user needs, data requirements, model suitability, ethical guardrails, and measurable value for a real AI initiative in one session.
Courses Designing AI Initiatives
Course Workshop
Humain Academy
Designing AI Initiatives
Transform vague AI ambitions into funded, structured, measurable initiatives.
- DURATION
- Half-day workshop
- LEVEL
- Intermediate, Designed for decision-makers
- FORMAT
- Strategic workshop with hands-on canvas exercises
- DELIVERY
- In-person or Virtual (on request)
About the Course
Designing AI Initiatives
Most AI projects fail not because the technology doesn’t work, but because they start without a proper brief. Vague ambitions, undefined success metrics, overlooked data gaps, and absent ethical guardrails lead to wasted budgets and stalled initiatives.
Designing AI Initiatives introduces the AI Project Canvas a practical tool for mapping every critical dimension of an AI initiative in one coherent view. Problem definition, user needs, data availability, model suitability, ethical guardrails, and measurable value all structured before a single line of code is written or a single vendor is engaged.
This course is designed for professionals who evaluate, commission, or approve AI initiatives and need practical tools for confident strategic decisions. You’ll leave with a completed canvas for a real initiative.
Prerequisites
Who is this course for?
Designed for professionals who evaluate, commission, or approve AI initiatives.
Senior Leaders & Decision-Makers
Executives and directors who approve AI budgets and need to ensure initiatives are structured, justified, and measurable before investment.
Project Leads & Programme Managers
Professionals responsible for scoping, planning, and delivering AI initiatives who need a structured framework from day one.
Procurement & IT Leadership
Teams evaluating AI vendors, platforms, and solutions who need clear criteria for assessing fit, risk, and value.
Learning outcomes
Strategic tools you'll apply to your next initiative.
02
Define the Problem Before the Solution
Learn to separate genuine AI opportunities from technology-looking-for-a-problem. Start every initiative with a clear, validated problem statement.
03
Assess Data Readiness
Evaluate whether your organisation has the data quality, access, and governance to support the AI initiative before committing budget.
04
Build Ethical Guardrails
Identify and address bias risks, fairness requirements, transparency obligations, and stakeholder impact built into the project design, not bolted on after.
05
Create a Measurable Value Case
Define success metrics, KPIs, and evaluation criteria that justify investment and allow genuine performance tracking post-deployment.
Curriculum modules
1 Module 1: From Ambition to Problem Statement
Define the real business problem AI should solve and identify when AI isn’t the answer.
2 Module 2: User Needs and Stakeholder Mapping
Identify who benefits, who’s affected, and what success looks like from every perspective.
3 Module 3: Data Readiness Assessment
Evaluate data quality, access, governance, and gaps before committing budget or engaging vendors.
4 Module 4: Ethical Design and Guardrails
Build bias checks, fairness requirements, and transparency obligations into the project from day one.
5 Module 5: Value Case and Implementation Planning
Define measurable success criteria, build the business case, and map the path from canvas to deployment.
FAQs
Do participants need technical AI knowledge?
No. The course is designed for decision-makers, not developers. The canvas framework is strategic and practical you don’t need to understand how AI models work to use it effectively.
Will we work on real initiatives?
Yes. Participants bring a real or planned AI initiative and complete the canvas during the session. You leave with a working document, not a hypothetical exercise.
How does this relate to the AI Governance course?
Designing AI Initatives focuses on scoping and designing initiatives before they begin. AI Governance & Compliance focuses on the oversight structures needed once AI is operational. They complement each other many organisations book both.
Ready to Structure Your Next AI Initiative?
Request a tailored session with details on delivery options, pricing, and strategic outcomes for your organisation.
Designing AI Initiatives
Request details