You bring the problem. We bring the talent.
Albert School students on a real Higeco question — AI for energy, energy communities, efficiency, or more.
One project, this autumn.
Business Deep Dive · Milan campus
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Let's start with one project.
The most useful way to start is a concrete project: a Business Deep Dive on a real question of yours, this autumn. Our talented teams of students, a dedicated coach, a result you can take to your management. This document explains what we propose.
Where a Business Deep Dive creates value for Higeco: AI applied to energy · renewable energy communities · efficiency and consumption analysis · projects with technical and financial impact together.
A school, not a training vendor.
Mines Paris–PSL (founding member of Université PSL, #28 worldwide, QS Rankings) + European entrepreneurs: Xavier Niel, Bernard Arnault, Rodolphe Saadé.
Five integrated years, Bachelor → Master, across four pillars: Mathematics, Business, Data, Humanities. Students who think with AI every day, as second nature.
650 students · 5 campuses (Paris, Madrid, Milan, Geneva, Marseille) · 38 nationalities · founded 2021.
And a campus in Milan — your first BDD can start right here.
From 3 days to 3 months.
One product, three depths — a 3-day Sprint, a 3-week Standard, or a 3-month Residency on our larger campuses.
Several teams, in parallel.
Every Business Deep Dive runs multiple teams of four at once — typically five to twenty-plus, depending on the cohort. They work different angles of the same problem. The number scales with the cohort, not the format.
From Bachelor in Milan to Master's in Paris.
Different cohorts, different campuses, different seniority. We match the right minds to your problem.
Start in Milan. Scale across five campuses.
Your first project runs close to home; bigger ambitions can run across our European campuses.
Higeco is a data company in an energy business.
You monitor and control renewable plants around the world. Every second, that fleet generates data. It's exactly the terrain where AI is moving fastest — and where an Albert team can work on a concrete question of yours.
The monitored fleet has become a data asset.
Two gigawatts of plants emitting telemetry every second are no longer just an O&M feed: they're a training set. The question is no longer "can we see the plant", but "what can a model predict that a dashboard can't show" — failures before they happen, inverter performance drift, expected yield under tomorrow's weather.
Energy communities are a coordination problem.
CER aren't a metering challenge: they're an optimisation and behaviour challenge. Who consumes when, how to allocate shared production fairly, how to forecast and nudge. A data-and-incentives problem — the natural habitat of a Business × Data × AI team.
The technical case and the financial case have to be told together.
For a CFO and an M&A director, a technical roadmap without a financial story is half a roadmap. AI-augmented analysis lets a small team produce both at once — the engineering logic and the P&L logic of the same decision. That's the level of output your leadership actually consumes.
Pick your flavour. We adapt the rest.
Two directional flavours — used to inspire the brief at scoping. Not a fixed menu: Albert School matches the right format and cohort to your problem.
Business Challenge.
A real strategic question, tackled by a team that's thought about nothing else for three weeks. Output: a client-ready recommendation.
Studio.
A working prototype, a dashboard, an MVP. Not a deck — a thing that runs. Output: a tangible artefact your team can use.
Two Business Deep Dives we'd start with you.
Directional — to sharpen together at scoping. Two options, two flavours, on your themes. Each runs over three weeks with our Milan Bachelor cohorts — first and second year (B1 and B2): several teams of four, fresh analysis and prototypes against your brief.
AI on the 2 GW fleet.
A team takes a real slice of your monitoring data (or a realistic synthetic proxy) and answers one question: where does AI create the most value across the fleet — predictive maintenance, anomaly detection, or yield forecasting — and what's the financial case for each?
Output: a client-ready recommendation pairing the technical opportunity with a P&L argument for your finance leadership.
The CER cockpit.
A team builds a working prototype: a dashboard or lightweight agent to manage a Renewable Energy Community — production allocation, consumption analysis, member-level reporting, optimisation nudges.
Output: a tangible artefact Higeco Energy can demo to a prospective CER client.
Want to see the format before committing to depth? We can also start with a 3-day Sprint on the same question.
One price. One product. Every campus, every cohort, every format.
The project
An Albert student team on a real brief of yours — several teams of four in parallel — with a result you can take to your management.
A dedicated coach
Faculty oversight and dedicated availability for the full length of the project. Quality isn't left to chance.
Joint LinkedIn communication
A co-branded Albert × Higeco piece around the project, published on LinkedIn. Visibility for your AI positioning, in front of the market and of talent.
And also: curated talent from one of Europe's leading institutions in AI and business · full ownership of the results (the IP is yours; Albert keeps marketing-usage rights only) · right of first interaction on top performers (internships, apprenticeships) · the Albert School + Mines Paris–PSL signature on the work.
Same price whether it's a 3-day Sprint or a 3-week project. Flexibility is a conversation — talk to Floriano.
Start in Milan. Scale across our campuses when you're ready.
Thinking bigger — a multi-campus BDD, a 3-month residency project with a selected team of students, or a sprint with our Master's students in Paris? Mention it and we'll make it happen.
Six steps. The same arc, different cadences.
A Business Deep Dive always follows the same six steps. The cadence changes — three days or three weeks — depending on the depth you need. The 3-week format is intensive but light on your side: about 3 hours a week from your team over 3 weeks. The 3-day Sprint compresses the same total effort into a single intensive block: about 9 hours from your team, spread across the three days. Dates are set together within the academic calendar, where a BDD runs every three weeks.
A 3-month Residency is also available on our campuses that run a third-year or Master cohort.
One conversation to build the case together: we define a challenge relevant to your business and agree on the perimeter of data made available to the students. We use our BDD Problem Statement Template as a guide — title, context, role-play scenario, strategic mission, scope of analysis, expected deliverables, and data sources — with full freedom on the content.
The BDD Problem Statement Template.
A structured guide we use together at scoping. It leaves full freedom on content — title, context, mission, data, deliverables — while giving both sides a common language.
Title
A clear, concise title summarising the core mission. Example: 'Optimising territorial presence of youth service centres'.
Context
The organisation, market, and societal context. Trends, challenges, strategic goals — the stage on which the problem sits.
Role-play scenario
Students are placed in a realistic role: strategy analysts, commercial team members, junior advisors. It anchors their thinking.
Strategic mission
The central question or hypothesis to test. What decision must be made? What should be proved or disproved?
Scope of analysis
The domains to explore: territorial indicators, business metrics, financial KPIs, geographic mapping, behavioural analysis.
Expected deliverables
An analytical report, supporting visuals, a business recommendation, or a dynamic prototype — defined up front.
Data provided
The datasets made available, or sources suggested for independent research. Cleaning requirements noted where relevant.
Suggested methodology included: data collection, descriptive analysis, identification of key themes, exploration of needs, and recommendation development.
A hybrid mind: Business × Data × AI.
Every Albert student is trained at the intersection. Some lean business, some lean data, all are fluent in AI.
Selectivity, AI fluency, and real-world hours before they graduate.
Real briefs. Real work. Real outcomes.
Four briefs from four global partners. Four Albert teams. Here's what three weeks of focused work produces.
Design your Business Deep Dive.
Three questions. A first proposal. A meeting with Floriano.
What's the question you'd like to explore with us?
One paragraph is enough. We'll go deeper in the call.
A Business Deep Dive is the start.
If the first project works, here's where it can lead. None of this is today's ask — it's the direction of travel.
Talent & job dating
Internships, apprenticeships, hires — and our job dating events, where you meet a cohort already trained on your questions. The most natural next step after a BDD.
Talk to Floriano about talent →Executive Education
Custom programmes for your managers and teams — AI, AI for business, AI for finance. Real cases: AP-HM, Club Med, Société Générale (24 executive committees, 250 leaders, NPS 8.7).
Talk to Angelo about ExecEd →Teaching & events
Your experts in the classroom. A masterclass. A slot at the Albert & Eugenia Start-up Hackathon each May. Your expertise shapes the next generation.
Get involved →A multi-year partnership
When the first projects work, a multi-format, multi-year relationship: a single point of contact, defined benefits, pricing calibrated to depth.
Talk to Angelo about Future Partners →
Five questions to continue.
No pre-written answers. They exist to structure the internal conversation at Higeco and our next meeting.