AI Consulting for Businesses
ChatGPT, Claude, Copilot – the tools have been around for a while now. The real question is no longer "Which model should we use?", but "Where does AI create measurable value in our business, and how do we implement it securely?"
This is exactly where our AI consulting comes in: we analyze your specific processes, prioritize the use cases with the greatest impact, and support you from the first idea through to a production-ready solution, with data protection built in from the start. As a company that develops its own AI model with InnoGE/deckname, we advise from practical experience, not from a textbook.
The topic in brief
Not every AI project is equally worthwhile: We help you find the use cases with the biggest impact, instead of trying tools at random.
Data protection is built in from day one: we factor data protection directly into the strategy, not as an afterthought.
We advise from our own practice: with InnoGE/deckname we develop a production AI model ourselves, so we know where AI projects actually get stuck.
What makes good AI consulting?
Most AI projects don't fail because of the technology, they fail because nobody clarified beforehand what problem they're actually supposed to solve. Good AI consulting therefore doesn't start with a tool, but with your processes: where do bottlenecks occur today, which tasks cost the most time, where is data already structured?
Only after that comes the question of implementation: does an existing language model with good prompt engineering suffice, does it need a connection to your own data via RAG, or does a deeper integration pay off? And, especially with sensitive data, how do we make sure customer, patient, or financial data doesn't end up unprotected in someone else's cloud?
Expert tip: Most companies don't need more AI tools, they need clear prioritization. One properly implemented use case beats five half-finished ones.
Tim Geisendörfer
Founder & CEO
How AI consulting works at InnoGE
Analysis: together with you, we review your processes, systems, and data, and identify where AI has the biggest leverage.
Strategy: the results become a prioritized roadmap, including a recommendation on which models, architectures, and data protection measures fit your case.
Pilot: we implement the first, highest-impact use case as a pilot project, fast enough to see real results early on.
Rollout: based on the pilot's findings, we scale the solution, and your team learns to keep developing it independently.
Consulting from practical experience, not from a textbook
Many consultants only know AI from slide decks. We develop InnoGE/deckname, our own AI model for text anonymization, from data preparation through training to production use. We bring exactly this practical experience into your consulting: we know where AI projects actually get stuck, not just in theory.
Deckname also shows, by example, how we build data protection in from the start: it recognizes personal data and replaces it with consistent placeholders before a text ever reaches a cloud language model like ChatGPT or Claude. More on that in our in-depth article on InnoGE/deckname.
Industry-specific AI consulting
Data protection requirements vary significantly by industry. We've built up hands-on experience in three particularly sensitive areas:
AI in healthcare – handling health data under Art. 9 GDPR
AI in finance – banking secrecy, DORA, and third-party risk
AI in banking – automating customer service and credit checks securely
Working in a different industry? You'll still benefit from our experience, let's talk through your specific situation in a conversation.
Expert tip: Consulting that doesn't end in an actionable roadmap is just an expensive presentation. Insist on concrete next steps.
Tim Geisendörfer
Founder & CEO
Ready for the first step?
Let's talk through your specific processes in a free, no-obligation conversation, and find out where AI makes the biggest difference for you.
FAQ – AI Consulting
AI consulting analyzes your existing processes and data, identifies the use cases with the greatest benefit, and develops a concrete roadmap for implementation, including model choice, architecture, and a data protection concept. At InnoGE, we also support the technical implementation itself.
AI consulting focuses on strategy: where does AI pay off, what are the risks, what does the roadmap look like? Our AI agency then implements that strategy technically. In practice, we offer both from a single source.
That depends on the scope, from a compact strategy workshop to months of support for an AI project. In a free initial conversation, we'll work out together which scope fits your situation.
No. We've gathered experience across a wide range of industries, from healthcare to finance to classic manufacturing and SMEs. Especially with highly sensitive data, you benefit from our hands-on experience with anonymization through InnoGE/deckname.
Because we focus on one prioritized pilot use case, most clients see concrete initial results within just a few weeks, instead of waiting months for one large overall project.