A hands-on session for graduate business students. Built for the complex, ambiguous work your graduates will actually face — not a slide deck about AI theory.
The gap isn't knowledge of AI. It's the ability to use AI strategically on real business problems. That's what we close.
74% of employers say they'll prioritise AI-literate candidates — yet fewer than 1 in 5 recent graduates can demonstrate AI use in a business context.
McKinsey's 2024 State of AI report found that AI adoption in professional services has accelerated rapidly, with teams expecting new hires to operate AI tools from the first week. Meanwhile, business school curricula have been slow to incorporate applied AI beyond superficial coverage.
Most MBA programmes teach about AI as a case study. Almost none teach students to use AI as a working tool inside a business context.
A 2024 survey of 40 European business school curricula found that while 90%+ mentioned AI in course descriptions, fewer than 15% included hands-on AI tool use in assessed coursework (FT Business School Rankings supplementary data, 2024).
Graduate recruiters are already using AI competency as a first-round filter — even for strategy, consulting, and general management roles.
LinkedIn's 2025 Recruiter Insights report found that 'proficiency with AI tools' appeared in 38% of new job postings for management and strategy roles in Europe — up from 9% in 2022. The expectation has moved from 'nice to have' to 'assumed'.
Every outcome was designed by asking: what are graduate recruiters actually filtering for?
Use AI to synthesise large volumes of information and produce structured competitive intelligence — faster and more accurately than traditional methods.
Take AI-generated analysis and shape it into the kind of clear, credible output that works in board presentations and client deliverables.
Build modular prompt systems they can apply across different strategic contexts — not one-off prompts, but repeatable tools for professional use.
Recognise where AI can replace or accelerate repetitive business tasks — and understand when not to use it.
Experience the full cycle of an AI-assisted project — from understanding a brief, to using AI to research and synthesise, to producing a professional output.
Articulate how and why they use AI in professional contexts — something employers are now asking directly in interviews.
Two formats depending on your programme's needs. Both are fully in-person.
Where AI actually sits in the graduate job market today — what employers are checking and why it matters for your specific cohort.
A real business problem worked through live using AI tools — competitive analysis, strategic brief, or market research — adapted to the audience's industry focus.
Open floor for faculty and students. We cover tool access, ethics, limitations, and what the full session covers. Time for programme directors to ask questions.
The current state of AI in graduate professional roles. What employers expect. What the session will cover and how to get the most from it.
Students learn to use AI for competitive research, information synthesis, and structured output. Guided exercises using real business scenarios.
Small groups tackle a real business brief using AI. Deliver a structured output — a strategic memo, market analysis, or process recommendation — within 45 minutes.
Students build their own modular prompting system for the kinds of work they'll face in their first role. Reusable and context-adapted.
How to talk about AI in interviews. How to keep learning. Resource pack distributed. Q&A.
Flat fee per session — not per student. All prices ex VAT.
Ideal for faculty meetings, programme committee previews, or a taster session with one class group.
The complete workshop — hands-on project work, skill building, and a portfolio-ready output.
Common path: Many programmes book a trial session with a single cohort or faculty group, then schedule the full programme for the following semester. The trial counts toward an honest evaluation — no pressure.
Marketing strategist and AI systems builder. Has spent the last several years building AI-powered marketing and automation systems for real businesses — not studying AI, using it.
MBA graduate (TIAS School for Business & Society) and MSc in Economics (Toulouse School of Economics). Understands what graduate business programmes produce — and what employers are asking for on the other side.
Yes. The session is designed for any graduate-level business student, regardless of specific programme. We tailor the examples and scenarios to match your cohort's industry or specialism in the pre-session alignment call.
Yes. We run it as a standalone module that sits alongside existing coursework — no curriculum restructuring needed. We align examples and exercises to your programme's focus in the pre-session call. No extra charge for this alignment.
A laptop with internet access. All AI tools are free-tier or provided — students don't need to pay for anything or set up accounts in advance. We handle tool setup at the start of the session.
The 1-hour trial (€899) is a focused overview with a live AI demonstration — ideal for testing the concept with faculty or a small student group. The 4-hour full session (€3,499) includes guided hands-on project work, skill building across multiple areas, and a resource pack students keep after the session.
Real-world scenarios: competitive analysis, market research synthesis, strategic recommendation reports, and process automation identification. We adapt the scenarios to your programme's industry focus in the pre-session call.
This is a single concentrated session focused on applied skill, not theory. Students work on a real business problem with real AI tools during the session. They produce output. They leave with frameworks and tools, not just knowledge of what AI is.
Students in the full session receive a resource pack with frameworks, prompt templates, and tool guides they can use after the session. No formal certification — the value is in the applied skills and the output they've produced during the workshop.
Yes. The trial session is specifically designed for this. It demonstrates the format and value to faculty before committing to the full programme. Programme directors often attend the trial themselves.
Flat fee per session — not per student. The trial is €899 and the full session is €3,499, both ex VAT. There are no additional costs for the pre-session alignment call or for post-session Q&A access (included in the full session).
Students will leave able to: use AI for research and competitive analysis, structure AI-generated insights for stakeholder reporting, build basic reusable prompt frameworks, identify automation opportunities in business processes, and discuss AI use confidently in interviews.
A room with reliable WiFi, a projector or display screen, and power access for student laptops. Everything else — facilitation, materials, tools — is handled.
Book a 20-minute discovery call and we'll scope the right session for your cohort and programme.
Message received. Amit will be in touch within 24 hours to scope the right session for your programme.