Tools don't transform companies. Teams do.
We train your people to use AI in their actual work — not generic demos. Role-based sessions, prompt libraries built on your documents, internal assistants your team builds itself, and a usage policy that keeps company data safe. Measured on weekly active usage and hours saved.
What it solves
A few people use AI, most don't
Adoption depends on curiosity, so the gains stay small and scattered.
Shadow AI with company data
Staff paste client data into free tools because nobody gave them a safe option.
Training that doesn't stick
A webinar, a PDF and back to old habits by Friday.
Deliverables, not promises.
Role-based workshops
Sales, operations, finance, marketing, management — using their own tasks.
Prompt & workflow libraries
Tested prompts and step-by-step workflows for the 10 most frequent tasks per role.
Build-your-own assistants
Teams create their own GPTs / Claude Projects on approved knowledge.
Safe-use policy
What data can go where, approved tools and AI Act literacy obligations covered.
Adoption analytics
Weekly active users, use cases and hours saved, reported monthly.
AI champions programme
One champion per team, trained deeper, who keeps the practice alive.
How we deliver it
Fixed steps, clear deliverables and a go/no-go at each checkpoint.
KPIs we track
- Weekly active users
- Use cases in production
- Hours saved per person
- Policy acknowledgement
Skills & use-case survey
Short survey and interviews: what people do all day and where AI could help.
- Use-case shortlist
Tooling & policy
We set up the approved tool (business tier, data not used for training) and the safe-use policy.
- AI usage policy
Workshops
3-hour hands-on sessions per role, each person leaves with workflows they will use on Monday.
- Prompt library
Build sprint
Teams build their first internal assistants with us, on their own documents.
- First internal assistants
90-day adoption loop
Office hours, champion check-ins and a usage report at 30, 60 and 90 days.
- Adoption reports
How the world's best do it
We study what leading AI companies and early adopters do — and bring the principles that work to companies of every size. Every claim links to its source.
Certify, don't just train
Deloitte and Anthropic are co-creating a certification programme for 15,000 professionals alongside Claude access for 470,000 people.
Source: Anthropic ↗Let teams build their own assistants
Moderna reported 750 custom GPTs within two months of rolling out ChatGPT Enterprise, with 40% of users building one.
Source: MobiHealthNews ↗Weekly usage is the metric
Cuatrecasas reports 92% weekly adoption of its AI tooling after a year of training.
Source: Cuatrecasas ↗Where it works
Legal & Professional Services
Lawyers and advisors drafting, reviewing and summarising with approved tools.
Banking & Financial Services
Analysts using AI for research, memos and reconciliation checks.
Manufacturing & Industry
Plant teams querying manuals and maintenance logs in natural language.
Insurance
Claims teams summarising files and drafting customer letters.
690 € per session (up to 15 people) · training included in Alfa 360.
Common questions
Is this subsidised?
In Spain, training can often be bonified through FUNDAE credits. We help you check eligibility.
Which tool should we use?
The one that fits your stack and data policy. We are model-agnostic and set up business tiers where your data isn't used for training.
Does the AI Act require training?
Article 4 requires organisations using AI to ensure sufficient AI literacy of their staff. Our programme documents it.
Let's find your edge.
Tell us what slows your business down. In 30 minutes we'll show you where AI pays back first — and what it costs.