AI-Adoption

AI consulting, adoption plan and training for companies

Decide where to apply AI. Get your team to adopt it.

An AI adoption plan with clear direction and applied training for every team.

When it makes sense

A clear starting point. A team able to move forward.

We turn interest in AI into a plan you can actually execute.

  • You want to find where AI can add value.
  • Your team already uses tools, but usage is uneven or unstructured.
  • You need to align leadership, teams and technical leads.

What the project looks like

From context to implementation.

  1. Opportunity assessment

    Where AI adds real value in your processes, data and systems.

  2. Roadmap and prioritisation

    What to do now and what not to, based on impact, effort and risk.

  3. Governance and guidelines

    Limits, human review and metrics from day one.

  4. Applied training

    By area and on your real processes.

What you get

Clarity to decide. The capability to do it.

  • Opportunity Map

    Prioritised use cases

  • Phased roadmap

    With owners and success criteria

  • Usage guidelines

    Governance adapted to your context

  • Training plan

    Plus support for each team

We start from your business goals. Technology comes after.

AI-Adoption case studies

Companies that have already started with clarity.

  • 59

    use cases identified in the assessment

    Delicat Aliment

    AI-Adoption

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

  • 9

    executive committee directors, one by one

    Frit Ravich

    AI-Adoption

    Nine directors, three sessions, seventy use cases

  • 105

    people at the firm

    Addwill

    AI-Adoption

    A 105-person firm with its own AI system

  • +60

    professionals trained in AI

    Boehringer Ingelheim

    AI-Adoption

    More than 60 professionals using AI in their daily work

FAQ

What people ask us sobre AI-Adoption.

What will I actually get from the assessment?

An actionable roadmap with clear priorities: which processes to redesign, what to build and what capabilities your team needs.

How do we avoid wasting time on use cases that don't work?

We prioritise from the start. We only work on cases with real impact that are feasible in your context.

Does training really change anything for the team?

Yes. It's based on your real processes. The team doesn't just learn tools, it learns to work better with them.

Do you have experience with companies like ours?

Yes. We have worked across more than 10 different sectors, which lets us adapt quickly. We've most likely already seen problems very similar to yours.

What if the team doesn't adopt AI?

We work directly on their day-to-day. When they see the impact on their work, adoption comes naturally.

What guarantees do you offer?

We work with success metrics defined at the start of the project. If the solutions don't reach the agreed KPIs, we iterate until they do at no extra cost.

How do I justify this internally?

With measurable impact. Not only in efficiency, but in the ability to scale and improve results.

Next step

Start with clarity and focus.

Any questions? Ask AI Mate.