- 1Day
- Beginnerto Intermediate
- StrategyFocus
Course Overview
A strategic guide to using AI for competitive advantage, without the technical complexity. This course is for business leaders who have to make informed decisions about adopting AI, build a business case that holds up, and lead the work through the organisation. Learn to identify opportunities, evaluate solutions and see AI through to production.
Executives, managers, entrepreneurs, business analysts, and non-technical leaders who need to understand AI's business impact and lead AI initiatives.
No technical background required. Business experience and strategic thinking are your foundation. Perfect for leaders focused on business outcomes.
Strategic Curriculum
13 topics for AI business leadership
- 01
AI Opportunity Assessment and Identification
Learn systematic approaches to identify high-value AI opportunities in your organization. Evaluate which processes and functions can benefit most from AI.
- 02
ROI Calculation and Business Case Development
Master frameworks for calculating AI ROI, building compelling business cases, and securing stakeholder buy-in for AI initiatives.
- 03
Build vs buy vs partner decision frameworks
Understand when to build custom solutions, purchase off-the-shelf products, or partner with AI providers. Make informed sourcing decisions.
- 04
Organizational Readiness Assessment
Evaluate your organization's readiness for AI adoption. Identify gaps in data, technology, skills, and culture that need to be addressed.
- 05
Data Strategy and Governance
Develop data strategies that enable AI success. Understand data requirements, quality standards, and governance frameworks for AI projects.
- 06
Team Structure and Talent Acquisition
Design effective AI teams. The roles that matter, the skills each one needs, and how to build or hire that talent.
- 07
Vendor Evaluation and Selection
Choose an AI vendor with criteria rather than a demo. What to evaluate, what to put in the contract, and the selection mistakes that recur.
- 08
Change Management for AI Transformation
Lead organizational change for AI adoption. Address resistance, communicate effectively, and ensure successful adoption across your organization.
- 09
Risk Management and Compliance
Identify and mitigate AI-related risks. Understand regulatory requirements, ethical considerations, and compliance frameworks.
- 10
Industry-Specific AI Applications
Explore AI applications in your industry. Learn from case studies and understand what's working (and what's not) in your sector.
- 11
AI Roadmap Development
Create actionable AI roadmaps for your organization. Prioritize initiatives, sequence implementation, and set realistic milestones.
- 12
Measuring AI Impact and Success Metrics
Define and track success metrics for AI initiatives. Learn to measure business impact, ROI, and communicate results to stakeholders.
- 13
Future Trends and Strategic Positioning
Understand emerging AI trends and their business implications. Position your organization to capitalize on future AI developments.
Strategic Outcomes
By the end of this course, you will be able to:
- Identify high-value AI opportunities specific to your organization
- Build compelling business cases that secure funding and support
- Lead AI transformation initiatives with confidence and clarity
- Make informed build, buy, or partner decisions for AI solutions
- Develop comprehensive organizational AI strategies and roadmaps
- Judge AI vendors and pick the right partners
- Manage AI-related risks, compliance, and ethical considerations
- Measure and communicate AI impact to stakeholders effectively
Apply strategic frameworks to your organization
- 01AI Opportunity Mapping Workshop: Identify and prioritize AI opportunities in your organization
- 02Business Case Development Exercise: Create ROI models and business cases for AI initiatives
- 03Vendor Evaluation Framework: Build evaluation criteria and selection processes
- 04AI Roadmap Development: Create a strategic AI roadmap for your organization with timelines and milestones
What people ask before they enrol.
No. It is for people who decide where the money goes. You leave able to tell a serious AI proposal from a weak one, and to ask the questions that separate them.
A way to judge use cases, the questions to put to a vendor or an internal team, and an honest picture of what AI costs to run rather than to buy.
No, and be careful with anyone who will before seeing your operation. It gives you the criteria; the answer depends on your data, your rules and your people.
Anyone looking for a build course. If you want to make something rather than decide about it, the developer pathway is the one.
Bring us the problem nobody has cracked yet.
We are a small team of senior specialists. We pick the right model and the right layer, and we build the least machinery that does the job. You get a call with an engineer, not a sales deck.