Generative AI for Business
A ~40-minute course for mid + senior managers. The 4 skills that separate AI-leveraged leaders: framing use cases, evaluating vendors, running pilots that scale, measuring outcomes. Grounded in Stanford, McKinsey, MIT/BCG/Harvard productivity studies.
8
Chapters
~40 min
Duration
Foundational
Level
No
Certification
Who this is for
For mid-level and senior managers across functions past basic AI literacy.
How this course works
- 8 audio-narrated slide chapters · ~40 min of focused content
- Capstone with interactive Markdown builder you take to your team
- Trust trip-wires on every play — what not to cross
- Free verifiable certificate on completion
What you'll walk out with
Specific outcomes from this course — no fluff.
- A grounded view of generative AI — drafting, summarising, transforming — and where it stops being reliable
- The 4 skills that separate AI-leveraged leaders from spectators — framing, evaluating, piloting, measuring
- How to frame use cases that survive contact with reality — the use-case fit map
- How to evaluate vendors — the questions that separate signal from pitch
- How to run pilots that scale — stage-gates, success criteria, the kill-bad-bets discipline
- How to measure outcomes — outcome metrics not AI metrics, the executive narrative that holds up
- A 2-quarter portfolio plan defensible to the board — with the trust trip-wires built in
Course content
8 chapters · ~40 min
Welcome
A 1-minute orientation — what the course covers, how to navigate, and what you walk out with. No audio on this screen.
The 2026 landscape for managers
Stanford AI Index 78% adoption · McKinsey 71% regular gen AI use · Gartner trough of disillusionment cleanup. Grove "High Output Management" leverage framing. WEF Future of Jobs 86% transformation. The 4 skills: framing, evaluating, piloting, measuring.
Framing use cases
The 4-question framework: task (specific) · cost today · data available · failure mode. 5 categories that work (drafting, summarising, translating, classifying, code). 3 that don't (open research with citations, judgement decisions, identity-specific facts).
Evaluating vendors
Tetlock: calibration > confidence. 3 questions: studied population (who exactly), compared to what (honest baseline), what didn't get measured. Enterprise terms baseline in writing: training opt-out + tenant isolation + retention. OpenAI Enterprise · Anthropic Commercial · MS Copilot for M365.
Build vs buy
McKinsey + BCG advisory: build only when proprietary data + workflow is the moat. 3 categories — off-the-shelf (80% of use cases), configure with vendor (Salesforce/SAP/Workday), build custom. Cost shape over 3 years. Gartner <30% deliver value caution.
Running pilots that scale
Stage-gate methodology: pilot (1 team / 1 quarter) → scale (10x users) → embed (3 months default reach). Kill discipline. 3-thing measurement framework: baseline before, counterfactual, quality + re-work. MS Work Trend Index active-user reality.
Risks managers must know
3 verifiable cases — Mata v. Avianca (S.D.N.Y. Jun 2023, $5K + letters to judges), Moffatt v. Air Canada (BC CRT Feb 2024, CA$812), Bloomberg resume study (Mar 2024). Personal-data rule. EU AI Act Art. 50 + Annex III + Art. 99. 3 risk categories: legal · reputational · customer-data.
Leading the team through change
WEF Future of Jobs context (86% transformation, 40% reduction). 3 manager moves: model the behaviour, set the expectation, measure the outcome. Grove leverage applied to people. 3 conversations: the team, the boss, the AI-resistant individual.
Making it stick: your 90-day GenAI plan
2 use cases · 90 days · 1 measurement framework. Month 1 = frame + pilot (4-question framework, week-3 pilot). Month 2 = measure + adjust. Month 3 = scale or kill. 4 trust trip-wires: no untested AI in customer-facing/regulated, no sensitive data to free tools, no AI signs commitments, no "set and forget".
Want this delivered inside your organisation?
The course is the starting point. The same content powers a 4-week pilot, an org-wide rollout, or a continuous build engagement — set up on your data, with your team, by Gennoor Tech.