AI strategy and implementation
AI Consulting for Mid-Sized Companies: From Strategy to Day-to-Day Operations
The question is not whether, but how fast
Competitors are automating their processes, answering enquiries in minutes and unlocking their knowledge. Those who start now shape this change. Those who wait will catch up later, under pressure.
- Processes: AI takes over routine work in administration, sales and service, and your people gain time for the work that matters.
- Knowledge: your company's knowledge becomes findable in seconds, with its source.
- Decisions: data that sits in your systems today becomes the basis for faster, better decisions.
Where does your company stand?
Strategy and business model
Where does AI create an advantage in your market, and which goals do you set?
Processes
Which processes can AI accelerate or fully automate?
Data and systems
How good is your data, and how can ERP, CRM and document management be connected?
People and organisation
How ready are leadership and teams, and what do they need to work with AI?
AI solutions for businesses that we have built
Sovereign AI assistant
Knowledge management with open-source models in your own infrastructure. Sovereign AI with open-source models Employees find internal knowledge in seconds instead of searching folders and inboxes.
RAG systems
Precise answers from your company data, with source references. RAG systems with company knowledge Business units receive verifiable answers and check the source with one click.
AI for public administration
Citizen services, application review and file digitisation for municipalities. AI for public administration Citizen requests are answered faster, and case workers gain noticeable relief.
Compliance knowledge in chemicals
A RAG system for REACH-compliant answers. REACH RAG case study Experts answer regulatory questions much faster and with a traceable source.
AI agents in the CRM
Automated lead research, service and data maintenance in SuiteCRM. AI agents for SuiteCRM Sales teams start conversations well prepared, and master data stays current without manual work.
How we work: four steps to productive AI
- 01
AI readiness assessment (1–2 weeks)
Assess goals, processes, data and systems; identify quick wins and strategic potential.
- 02
Strategy & roadmap (2–4 weeks)
Prioritise use cases, calculate the business case, define the governance framework.
- 03
Pilot with real data (4–8 weeks)
Implement one use case with representative production data, connected directly to your systems.
- 04
Rollout & operations (ongoing)
Train teams, monitor quality and cost, and keep improving the solution together.
Data protection, sovereignty and legal certainty
EU cloud
Enterprise models in European data centres with an EU data commitment.
Best for: fast start and standard use cases
Private cloud
Dedicated environment in a German data centre.
Best for: confidential company data
On-premises
Open-source models in your own infrastructure.
Best for: maximum sovereignty requirements
With RAG architectures, your documents stay in your own database; the language model uses them at runtime and cites the source of every answer.
What does AI consulting cost?
You start with a clearly scoped readiness assessment at a fixed price and then decide on the next building blocks step by step:
- AI readiness assessment: fixed price
- Strategy & roadmap: fixed price
- Pilot with real data: fixed price
- Operations & improvement: monthly
Every project begins with a defined scope and a transparent budget. See AI project costs at a glance.
Frequently asked questions about AI consulting
What does an AI consultancy do?
An AI consultancy identifies where AI creates the most value in your company, plans the implementation and supports rollout and operations. We also take care of the technical implementation.
Which companies benefit from AI consulting?
Mid-sized companies and organisations that want to integrate AI into processes, customer service or knowledge management, from the first use case to a company-wide strategy.
How quickly can we start?
The readiness assessment takes one to two weeks. You then have prioritised use cases and a concrete plan.
Do you work in a GDPR-compliant way?
Yes. We rely on hosting in Germany, data processing agreements and, on request, open-source models in your own infrastructure.
Which AI models do you use?
We choose per use case based on quality, cost and data protection: enterprise models in European data centres or open-source models such as Mistral and Llama.
Do you support EU AI Act compliance?
Yes. We inventory your AI systems, classify them and set up the right governance.
Start with an AI readiness assessment
Within one to two weeks you will know which use cases pay off for your company, what they cost and how to implement them securely.