Galvanic

Training — capability, transferred

A strategy nobody can execute is a document.

Most AI training teaches the tool. Six weeks later the tool has changed and the team is back where it started, waiting for someone external to tell them what to do next.

We teach the judgement instead — how to tell a real use case from a demo, where a model earns its keep, what to do when it fails. That survives the next release, and it stays with your people rather than leaving with us.

Capability spreads, then stays.

A consultancy that keeps the knowledge has to be re-hired for every subsequent decision. That is a durable business model and a bad outcome for you. We would rather be called back because you have a harder problem, not because you never learned to handle the first one.

Training runs alongside the engagement rather than after it. The people who will operate the thing are in the room while it is still being decided.

What we teach.

Delivered on site or remote
  • One dayLeadership and operators

    AI Fundamentals for Business

    What the technology actually does, where it earns its keep, and how to tell a real use case from a demo. No maths, no vendor pitch.

  • Two daysExecutive team

    AI Strategy Workshop

    Run against your business, not a case study. We leave with a costed, sequenced roadmap your leadership wrote rather than received.

  • Three daysEngineering and data teams

    Practical Machine Learning

    Hands on your own data and your own stack. Evaluation, failure modes and deployment — the parts that decide whether a model survives contact with production.

  • One dayService, support and marketing

    AI for Customer Experience

    Where automation helps a customer and where it insults one. Built around your existing journeys and your existing tooling.

How it is run.

The differences that matter
  • 01

    Taught by the people who build

    The same team that writes the strategy and ships the code teaches the course. Nobody is reading from a deck they inherited.

  • 02

    Your data, your workflows

    Exercises run against your systems. A generic dataset teaches a generic lesson, and nobody goes back to their desk able to apply it.

  • 03

    Measured by what changes

    Success is a team shipping something afterwards without us, not a satisfaction score collected in the room.

  • 04

    The capability stays

    We are trying to make ourselves unnecessary for the next one. That is the point of transferring it rather than selling it back.

Train the people who will still be here afterwards.

Tell us who needs to be able to do what, and we will tell you honestly whether a course is the right instrument — or whether you need something else first.

Start a conversation

contact@galvanic.ai