Service: AI Adoption

AI adoption & training: AI your team actually uses

Our AI adoption is for companies that want to make AI part of how they work, and includes AI training for employees. Picking the tools is quick; we help your team use them confidently and sustainably.

Team enablement & upskillingTool selection & rolloutAI-first ways of working
“Technology is innovation, but change starts with people. That's why our AI adoption starts with the people, not the tool.”
Bianca, Managing Principal at Gemma Analytics
AI & People Champion
Your expert

Bianca

Managing Principal
What we do

What we deliver

Adoption happens in everyday work, so three building blocks cover your people, your tools and the way you work.

01

Team enablement & upskilling

We enable your team to use AI confidently in daily work. Upskilling is part of our consulting, next to decisions on tools.

Your teams get talks for everyone, hands-on workshops for power users and a written onboarding guide with a first-week checklist. Talks are recorded, and the slides work without the speaker.

02

Tool selection & rollout

We stay tool-agnostic and recommend the tools that fit your needs. Then we support the rollout in your team.

We set up the chosen AI platform with you securely, for example Langdock, Claude (with Claude Code and Claude Cowork) or OpenAI's ChatGPT (with Codex and ChatGPT Work): single sign-on and user provisioning, approved models with EU hosting, data retention agreed with your data protection officer, roles and spending limits. Your AI usage policy is live before the first login, then a pilot with 10 to 15 users starts.

03

AI-first ways of working

We help you make AI part of how your organisation works, the way we do ourselves: humans build the knowledge and AI accelerates it.

Together we name an AI owner and 1 to 2 AI champions per department, set up a support channel with an agreed response time and build a shared prompt library with clear owners and a naming convention for templates, agents and workflows. On top come first use cases per team, picked by one simple test: frequent, always the same and annoying today.

Who we train

For management

We prepare the decisions that have to be made before the rollout: tool and plan, usage policy, data protection and retention, roles and who owns AI internally. Leadership is part of the pilot, and usage analytics show you how adoption is going.

For business teams

For everyone: how a language model arrives at its answer, how to ask well, how to check answers and which data may go in. For power users: personal instructions, working with your own documents and a first agent of their own. Examples come from your teams' daily work, such as proposals, tenders, inspection reports, service and administration.

For developers and technical teams

A hands-on Claude Code workshop in your own repository, about 4 hours: setting up project instructions and permissions properly, planning larger tasks in Plan Mode, using and building skills and plugins, and working on several tasks in parallel. If needed, Claude Code runs via Amazon Bedrock in your own AWS account so the data stays there.

How we train

Talk

A talk for the whole company, remote: about 30 minutes of content, then 25 to 30 minutes of questions. It is recorded, ideally as a series of two, for example first “from prompt to productivity”, then “from ad-hoc chat to repeatable workflow”.

Hands-on workshop

2 hours on your own laptop for up to 15 power users, along a ladder from simple chat to workflow, with seven timeboxed exercises. Everyone leaves having built their own template, personal instructions, a first skill, a project and a first agent. Two of us run it together.

AI champions

1 to 2 AI champions per department become the first point of contact for their colleagues. We train them in dedicated sessions so they can steer the AI rollout, enable their colleagues and manage the cultural change across the company.

Onboarding guide for everyone

A written guide for getting started that also works as a reference later.

20 min setup15 min readingChecklist for week 1

Article 4 of the EU AI Act (Regulation (EU) 2024/1689) has applied since 2 February 2025. It requires providers and deployers of AI systems to take measures to ensure, to their best extent, a sufficient level of AI literacy of their staff and of other persons dealing with AI systems on their behalf, taking into account their technical knowledge, experience, education and training and the context of use.

Our AI literacy training helps you build this literacy in your team, matched to roles and context of use.

Afterwards you have your AI usage policy, the recordings of the talks, the slides and the onboarding guide to show for it.

This is not legal advice.

Insight

How we work ourselves

How we work as an AI-first team, we show you behind the scenes.

Gemma Analytics

Behind the scenes

Our consulting covers data strategy, tool decisions and upskilling. We stay tool-agnostic and recommend the tools that fit your needs.

Humans build the knowledge. AI accelerates it.
Take a peek behind the scenes
Typical problems

Typical problems we solve

Does any of this sound familiar? Then a conversation about AI in your team is worth it.

Shadow AI on private accounts

Your people already use ChatGPT and other tools, often on private accounts. What they type there is outside your control and, depending on the settings, may be used to train the models. With customer data and internal documents, that is a data protection problem.

The tools are there, but hardly used

Picking AI tools is quick. Using them confidently and sustainably in daily work is the hard part.

Which tool fits us?

There are many AI tools and no clear way to decide which one fits your needs.

Your team does not know where to start

Without enablement, people stay with their old routines and AI remains a topic for a few enthusiasts.

Everyone uses AI differently

Some colleagues experiment, others hold back, and there is no shared understanding of what works and what is allowed.

AI stays a side project

AI is tried out here and there, but it does not become part of how your organisation works.

How we work

From discovery call to everyday use

We work hands-on and results-driven, in four steps.

01

Discovery call

We spend 30 to 60 minutes on your challenges, your team and how AI is used today.

02

Needs & tool selection

We clarify what your teams need and recommend the tools that fit.

03

Enablement & rollout

We upskill your team and support the rollout of the tools.

04

Ways of working

AI becomes part of how your organisation works, confidently and sustainably.

Tools & technologies

Tools we work with

We work tool-agnostically. Recent rollouts include Langdock as an AI platform for all employees and Claude Code for technical teams.

Langdock logoClaude Code logoPython logo
Trusted by

70+ successful projects in six years, a senior team of 20 based in Berlin.

Viessmann logoVaillant logoyfood logoFlaschenpost logoglow25 logoheyData logoaudibene logoHomeToGo logoManiko logoWikinger Reisen logoasphaltgold logoPets Deli logoVALUE AG logomotel a mio logoju:it logoInno Nature logoMocMakler logon. logoSmoobu logoTasty Urban logoAUXEUM logohellomed logoNatsana logoSwappie logowholey logoFOND OF logoCleanwatts logoViessmann logoVaillant logoyfood logoFlaschenpost logoglow25 logoheyData logoaudibene logoHomeToGo logoManiko logoWikinger Reisen logoasphaltgold logoPets Deli logoVALUE AG logomotel a mio logoju:it logoInno Nature logoMocMakler logon. logoSmoobu logoTasty Urban logoAUXEUM logohellomed logoNatsana logoSwappie logowholey logoFOND OF logoCleanwatts logo
FAQ

Frequently asked questions about AI adoption

It depends on the scope. The main cost drivers are how many people we train, which audiences (management, business teams, technical teams) and formats (talk, hands-on workshop, AI champions) you choose, and how many tools we roll out. In a free discovery call we clarify your needs and outline what a project could look like. For eligible SMEs, BAFA funding can cover part of the consulting costs.

The duration depends on how many people and groups we train, which formats you choose and how many tools are rolled out. A rollout with a pilot, talks and hands-on workshops typically takes 6 to 8 weeks. We work out the timeline for your project in the discovery call.

Yes. Our clients have between 30 and 15,000 employees, mostly 50 to 200. Training works for a team of a few dozen as well as for larger organisations, because we match audiences and formats to your size. For SMEs, BAFA funding can apply on top.

We work tool-agnostically and recommend the tools that fit your needs. Tools we often use include Langdock, Claude Code and Python.

AI adoption and training covers everyday use. We help your team use AI tools confidently and sustainably and build AI-first ways of working. AI consulting comes before that and clarifies the strategy, meaning where you stand, which use cases pay off fastest and which governance lets you scale.

To AI consulting

Article 4 of the EU AI Act (Regulation (EU) 2024/1689), which has applied since 2 February 2025, requires providers and deployers of AI systems to take measures to ensure, to their best extent, a sufficient level of AI literacy of their staff and other persons dealing with AI systems on their behalf, taking into account their technical knowledge, experience, education and training and the context of use. Training is one way to build this literacy. This is not legal advice.

Three formats that build on each other: a keynote for the whole company, hands-on workshops for up to 15 power users and dedicated sessions for AI champions in each department. Technical teams can add a workshop with Claude Code on their own repository. The examples come from the everyday work of your teams.

More than a tool login. With us, an AI rollout covers choosing and securely setting up the AI platform, an AI usage policy, a pilot with 10 to 15 people, training for every audience and named owners such as AI champions in each department. That is how AI moves from an experiment to a part of everyday work.

Possibly, for the consulting part of your AI adoption project. Gemma Analytics is registered with BAFA as a consulting company. For eligible SMEs, the programme covers up to 50% (up to 80% in the new federal states) of eligible consulting costs as a non-repayable grant, up to a maximum amount. The application has to be approved before the project starts, and we walk you through it at no charge.

More about BAFA funding
Competencies

More ways we can help

AI Consulting Your route to AI-first. We work out where you stand, back the use cases that pay off fastest, then set up governance for you to scale. View service
BI & Data Analytics KPIs, metric definitions and analysis structure on one unified foundation, so every team works from the same numbers. View service Data Apps & Infrastructure The infrastructure, pipelines and integrations that analytics and AI workloads run reliably on. View service Intelligent Automation AI agents and automations that take manual work off your team and run entire workflows. View service Agentic Analytics BI agents tailored to your business that query and model your data, then talk you through the answer within minutes. View service
Contact

Ready for AI your team actually uses?

Book a free discovery call: 30 to 60 minutes, focused on your challenges.

Bijan, Founder & Managing Director at Gemma Analytics
Your contact

Bijan Soltani

Founder & Managing Director

Bijan and the Gemma team look at your team and your tools with you. In the call we also check whether your project qualifies for BAFA funding.