Four recent engagements, anonymised for confidentiality. Every figure below is either measured on the client's own operations — from the actual work logs — or declared as a baseline in the approved programme.
Case study · Confidential
Family-owned SME — B2B industrial distribution, Italy
Executive AI programme for the two owners (20 hours, 10 modules), built around three applied projects on live business questions: M&A target screening, supplier compliance benchmarking and competitor trade intelligence.
1,295 → 15
companies screened down to a scored short-list of priority M&A targets, with declared exclusion criteria — in under half a working day
~2 h
to verify the documentation portals of 15 European suppliers with parallel AI agents — an estimated 7–15 person-days manually
1 h 18′
from raw customs data to a board-ready competitor report, including the draft response to the client
2/2
owners trained personally — AI capability built at the top of the company, not delegated down
Case study · Confidential
Italian industrial group — capital goods, international footprint
A multi-module AI programme across strategy, IT, after-sales service and marketing — grown from a single pilot module into a company-wide learning track, with reusable AI assets that remain with the client.
1 → 7+
from one pilot module to a company-wide programme — renewed on results, not on promises
4
business functions covered: strategy, IT, after-sales service, marketing
9
custom AI assets (skills and prompt libraries) handed over — they belong to the client, not the vendor
3
business cases built in-session on live company data: brand perception, service network optimisation, technical knowledge management
Case study · Confidential
International law firm — offices in Italy and Luxembourg
A 30-hour AI programme designed for lawyers (10 modules: 5 plenary, 5 practice-specific), built on the firm's own house style and on non-negotiable professional guardrails: privilege, GDPR, human verification, accountability.
15
reusable AI skills codified and handed over — from house-style memos to source verification and legal translation. They belong to the firm
5
practice groups with dedicated vertical modules — from funds and banking to litigation — each working on its own use cases
4
deontological guardrails engineered into every workflow: professional secrecy, GDPR, human-in-the-loop verification, accountability
2
data-governance phases by design: public and anonymised data only first; enterprise environment with DPA before any client file
Case study · Confidential
Italian single-family office — Milan
A 12-month, 135-hour organisational AI programme designed function by function — from process mapping to a tailored AI policy — with every phase anchored to KPIs against declared baselines, and built to double as evidence of EU AI Act art. 4 literacy compliance.
135 h
of training and applied work designed across 12 months, one function at a time — starting from how work actually flows
6
functional areas mapped through structured questionnaires and the analysis of 10 internal procedures before a single hour of training
2
AI policies delivered before day one — an AI usage policy and an integrated IT+AI policy, written on a family office's real risks: listed-company information, family data, fraud on payment instructions
10 → 5 days
example of a KPI declared up front (fund due-diligence cycle): every module is tied to a measurable baseline, verified at the end
Methodology: effort figures are measured from the file and session logs of the actual engagements; manual baselines are declared estimates based on market practice. For programmes currently in delivery, scope figures and KPI baselines reflect the approved programme documents. Client names are withheld for confidentiality.
