Delicat Aliment

59 use cases and a team that brings its real work to every session

From assessment to practice: an adoption plan, training and office hours at their offices, with business data one question away.

  • AI-Adoption
  • Food
  • Leadership and teams

59 use cases identified in the assessment

  • 59use cases identified
  • 1adoption plan for the whole company
  • 0projects to prepare before coming to a session

Starting point

Delicat Aliment wanted to know where AI adds value in a food company with very hands-on processes, and for its team to really use it, not just leadership.

What we did

We started with an opportunity assessment across all areas: 59 use cases placed on our Opportunity Map. Then came an adoption plan, hands-on training and ongoing support with office hours at their offices, bookable sessions where anyone brings a real task from their day-to-day and leaves with it solved. And we connected their dashboards to the AI assistants they already use, to ask the data questions in natural language.

The change

Before and now.

Before

  • AI was an idea from leadership
  • Data in dashboards that few knew how to read
  • Nobody knew where to start

Now

  • A prioritised plan, case by case
  • Office hours where everyone brings a real task
  • Questions to the data in natural language

Step by step.

  1. Person

    Interviews

    All areas

    We listen to the people who do the work, from production to administration.

  2. Method

    Opportunity Map

    59 use cases

    We place each case by impact and effort: quick wins and big bets.

  3. Deliverable

    Adoption plan

    Prioritised

    We set what comes first, who leads it and how it is measured.

  4. Training

    Training and office hours

    At their offices

    Bookable sessions where anyone brings an email, a spreadsheet or a report and leaves with it solved.

  5. System

    Connected data

    Natural language

    We connect their dashboards to the assistants they already use, so they can ask the data questions.

And up and running.

How is the fresh line doing this month compared to last year?

Sep 2025
1107
Sep 2026
1240

12% more than last year: 1,240 orders versus 1,107. The growth comes from Catalonia and the distribution channel.

Simulation with fictitious data from the real system.

Result

A company-wide plan running case by case, data accessible to the whole team and a new habit: bringing real work to the session.

For the team

Nobody needs a prepared project. A repetitive email, a spreadsheet or a report is enough.

Connected with

  • Opportunity Map
  • Office hours
  • Dashboards
  • ERP
  • +60

    professionals trained in AI

    Boehringer Ingelheim

    AI-Adoption

    More than 60 professionals using AI in their daily work

    An adoption plan and four training programmes that took AI from initial interest to daily use, always within the company's own tools.

  • 9

    executive committee directors, one by one

    Frit Ravich

    AI-Adoption

    Nine directors, three sessions, seventy use cases

    AI adoption started at the top: the executive committee learned with its own documents and now drives its AI Office.

  • 105

    people at the firm

    Addwill

    AI-Adoption

    A 105-person firm with its own AI system

    An AI policy, a platform built from the ground up and nine specialised assistants, validated by the leads of each department.