01
Foundation
AI fundamentals for business owners and leadership. No mystique, no marketing slides.
Artificial Intelligence
AI that decides.
Not guesses.
From use case to production model. Strategy, implementation and governance. Measurable, auditable, transferable.
MODEL · classify
Our perspective
AI belongs
in day to day work.
Productive AI is not built in a pilot lab. It emerges where processes, data and accountability meet.
Most AI initiatives do not fail on technology. They fail on unclear use cases, weak data foundations and a governance model invented only after the pilot.
We treat AI as a process decision. We combine domain clarity with statistical depth and implement only what your operations can sustain.
Services
Six fields,
one AI system.
From strategy to governance. We bundle our AI expertise into six specialized service areas.
Strategy
AI Strategy & Readiness
Clarity before code. Maturity, data foundation and target picture in a robust roadmap that holds in the boardroom and on the floor.
Learn moreUse Cases
Use Case Identification
Find, prioritize and assess potential. Business value, feasibility and risk on one shared decision basis.
Learn moreGenerative AI
Generative AI & LLM Integration
Safely integrate ChatGPT Enterprise, Copilot and custom assistants. From prompt standards to production interfaces.
Learn moreAutomation
AI Driven Process Automation
Intelligent Process Automation. AI takes the decision, workflow handles execution. End to end, with clear control points.
Learn moreAnalytics
Predictive Analytics
Turn data into forecasts and forecasts into decisions. Forecasting, predictive maintenance and scoring models in live operations.
Learn moreGovernance
AI Governance & EU AI Act
Compliance as an operating system. Risk classification, AI literacy and documentation that your auditor will accept.
Learn moreEnablement
Enabling you
to help yourselves.
We do not only build AI for you, we build with you. Your teams understand the models they use and can evolve them independently once the mandate ends.
02
Practice transfer
Real use cases from the mandate. From data pull to first model.
03
Prompting
Prompt engineering as an operational skill. Standards, templates, quality assurance.
04
Data literacy
Data quality, features and labeling as the basis for every reliable model.
05
Evaluation
Assessing model quality. Metrics, bias checks and continuous monitoring.
06
AI Literacy
Mandatory under EU AI Act Article 4. Role based, documented, repeatable.
Method toolkit
Proven tools
for productive AI.
We equip your teams with a best practice method toolkit, proven across DAX and mid-market mandates.
Analysis process
CRISP DM
Structured analysis process from business question to deployment. Safe cycles instead of ad hoc work.
Operational standard
MLOps
Versioning, deployment and monitoring of models as an operational standard, not a research project.
Knowledge base
RAG & Evaluation
Retrieval augmented generation with clean knowledge bases and defensible quality measurement.
Risk classification
AI Risk Framework
Risk assessment aligned with the EU AI Act and NIST AI RMF. Documentation that survives audits.
Discovery Call
Ready for productive AI?
30 minutes. Assessment of maturity and use case potential. No commitment.