Service: AI Consulting

AI Consulting for mid-sized companies: use cases that pay off

You have the mandate to bring AI into the company and a long list of ideas. We test them against your real data and processes and tell you which ones pay off.

Our team is based in Berlin: we work on site in Berlin and remotely across the DACH region.

AI-readiness assessmentUse-case scoping & ROIAI governance & MLOps
“AI only sticks once it's on the org chart: every agent has an owner, every process knows where it steps in, and someone answers for the result.”
Jan, Lead AI Operations at Gemma Analytics
Agents need owners
Your expert

Jan

Lead AI Operations
What we do

What we deliver

Strategy comes before tools: first we establish where you stand, then which use cases to back, then the framework in which AI can scale.

01

AI-readiness assessment

We work out where you stand before we suggest a single use case. We look at which tools are already in use, where shadow AI arises and which requirements apply, such as GDPR, ISO 27001 or KRITIS. At the end you get a written concept and cost outline with a target picture, platform recommendation and running costs.

02

Use-case scoping & ROI

We back the use cases that pay off fastest. We test every use case against your historical data, for example real tickets or documents. That shows you up front how much can really be automated. Sometimes the honest answer is that a use case does not pay off. You get a prioritised use-case list with effort and benefit and a written assessment you can pass on internally.

03

AI governance & MLOps

So that AI can scale, we set up the governance for it and take care of MLOps, the reliable running of AI in everyday operations. We define which data may go into which model and where a human checks, in other words human in the loop. With sensitive data such as health data, that check is mandatory. You get an AI usage policy and a phased roadmap.

Example: ticket analysis before building

At a property management company, AI could have solved only 1 to 3 percent of the tickets. We advised against building it and recommended giving case handlers better context.

Historical tickets1 to 3 % solvableWritten assessment
Case studies

Use cases we have delivered

Two examples where AI starts at a clear business problem.

Smoobu

AI-powered conversion predictions for faster, smarter growth

A machine-learning model gives every trial user a conversion score, so outreach and incentives can be targeted.

Forecast error cut by 50%
Explore the case study
hellomed

Document processing agents for digitizing medication supply

Before building came a workshop, a process map and a clear scope for the first version.

134 h saved every month
Explore the case study
Typical problems

Typical problems we solve

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

You do not know where you stand with AI

There are plenty of ideas and tools, but no clear picture of what your company can do with AI today.

Long use-case list, no ranking

The use-case list is long, but nobody knows which one pays off.

The mandate is there, the delivery is not

You have a mandate from management and need a partner who turns it into shipped outcomes.

Shadow AI with company data

Employees use private AI tools with company data.

Is the vendor compliant?

It is unclear whether a vendor meets your data protection or KRITIS requirements.

Sovereign AI from Europe

You use models from US providers today and want to move to European solutions, for data protection, sovereignty or other reasons.

How we work

From discovery call to an AI strategy with a roadmap

This is how our AI strategy consulting for mid-sized companies in Germany works, from the first call to a phased roadmap. We work hands-on and results-driven, in four steps.

01

Discovery call

We spend 30 to 60 minutes on your challenges, your mandate and the outcomes you expect from AI.

02

Collect use cases

We collect your use cases per department in a short profile and check the data situation.

03

Test on real data

We measure the potential on real data before we name a price for the implementation.

04

Phased roadmap

You get a phased roadmap that you can also carry out without us.

Tools & technologies

Technologies in our AI projects

We work with these tools, among others. Which ones fit depends on your setup.

Langdock logoClaude Code logoMistral AI logon8n logoPython logoSnowflake 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 consulting

It depends on the scope. The main cost drivers are how many use cases we assess, how accessible your data is and whether a platform decision is part of it. 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 use cases we assess, how ready your data and teams are and whether we also deliver use cases ourselves. A typical AI consulting project with us takes six to ten weeks. We work out how long your project takes in the discovery call.

Yes. Our clients have between 30 and 15,000 employees, mostly 50 to 200. AI consulting pays off most when management has given a mandate and you want to know which use cases to back first. For SMEs, BAFA funding can apply on top.

Among others, Langdock, Claude Code, Mistral AI, n8n, Python and Snowflake. Which ones fit depends on your use case and your setup.

AI consulting is the strategy: we work out where you stand, back the use cases with the fastest return and set up the governance to scale. AI adoption and training is everyday use afterwards: we help your team use AI tools confidently and sustainably and build AI-first ways of working.

To AI adoption & training

An artificial intelligence consultancy works out where AI really pays off in your company and where it does not. As AI consultants we start with a readiness assessment, test your use cases on real data and set up the governance that lets AI scale across the company. You end up with a prioritised list of use cases and a phased roadmap.

Yes. Many of the use cases we assess rely on generative AI, for example language models that handle tickets or documents, and on AI agents that take over entire workflows. Whether an off-the-shelf tool is enough or you need a custom AI solution shows when we test it on your data. If you want, we also build it.

To Intelligent Automation

For AI consulting, quite possibly. 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 Adoption We make AI part of how your organisation works. Picking the tools is quick; we help you use these tools confidently and sustainably. 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 that pays off?

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 will go through where you stand with AI and what ideas you have. In the call we also check whether your project qualifies for BAFA funding.