Ranked by how relevant each course is to the Board Member / NED function. Start with the highest-relevance courses for the fastest impact.
100% matchPractitionerFull day·In-person or online
AI for Marketing Teams
How AI is changing paid media, content production, campaign reporting, and client strategy. Hands-on exercises using tools your team can start using immediately.
100% matchPractitionerFull day·In-person or online
AI for Finance & Operations
AI applications in financial reporting, procurement analysis, workflow automation, and supplier management. Practical case studies drawn from real cost reduction engagements.
100% matchPractitionerHalf day·In-person or online
AI for Sales & Business Development
Prospecting, proposal writing, CRM enrichment, and pipeline reporting using AI tools. Focused on reducing the admin burden in a sales function without changing how clients are managed.
100% matchPractitionerFull day·In-person or online
AI for Cost Reduction
A practical full-day course for operations, finance, and procurement teams. Covers how to use AI to identify cost overruns, benchmark supplier pricing, automate cost-reporting workflows, and build a repeatable cost-reduction programme. No prior AI experience required.
100% matchPractitionerFull day·In-person or online
AI for Operational Performance
A full-day course for operations and general management teams focused on using AI to improve throughput, reduce processing times, and drive measurable performance gains, without increasing headcount. Covers workflow automation, capacity planning, and output quality improvement.
98% matchSeniorMultiple days·In-person or online
AI for Business Transformation
A two-day senior course for executives and heads of function who want to build an AI-enabled transformation programme covering both cost reduction and performance improvement simultaneously. Covers strategy, prioritisation, team capability, supplier evaluation, and programme governance.
95% matchSeniorFull day·In-person
AI Leadership & Governance
Designed for senior leaders making decisions about AI adoption. Covers build vs. buy, data governance, risk, regulatory direction, and how to evaluate AI vendors critically. No technical background assumed.