Use cases that really pay off.
We prioritize use cases by minimal effort and maximum business value – and get them into production in 1–3 months.
- 100+
- use cases in our portfolio
- 1–3
- Months to go live
- 300+
- Data & AI projects
- 10
- industries
Example use cases at a glance
Every use case has its own detail page – with ROI, approach, required data, stakeholders and synergies.
Industrial AI
10 Use cases
AI directly on the machine, line and supply chain – from predictive maintenance to energy optimization.
Predictive Maintenance
Predict machine failures and optimise maintenance.
Predictive Quality
Spot scrap before it happens.
Anomaly detection in time series
Spot unusual patterns in machine data instantly.
Visual quality inspection
Automatically detect defective parts using cameras.
Process parameter optimization
Control reactors and plants at their optimum.
Energy & consumption optimization
Cut energy costs without slowing production.
Production planning & scheduling
Automatically distribute orders optimally across machines.
Demand & sales forecasting
Forecast demand more precisely than experience alone allows.
Inventory & spare parts optimization
Keep exactly the right parts in stock — no more, no less.
Digital twin & simulation
Test production changes virtually, risk-free.
Generative AI
10 Use cases
LLM assistants based on your own data – GDPR and EU AI Act compliant operated in EU regions.
Internal company GPT
A company-owned chat assistant that reliably answers questions on processes, policies and expertise.
Document chat (RAG)
Search large document sets via chat instead of manually digging through contracts and reports.
Service & repair assistant
Technicians get precise repair guidance on-site, drawn from manuals and ticket history.
Quote & tender assistant
Draft quotes and tender documents faster, backed by past deals and price lists.
Email & ticket triage
Automatically classify, prioritize and route incoming emails and tickets to the right team.
Knowledge management & onboarding
Onboard new employees faster with an assistant that explains company-specific knowledge.
Content & product data creation
Generate product descriptions and marketing copy automatically from structured product data.
Meeting & minutes assistant
Automatically summarize meetings, extract action items and file minutes in a structured way.
Code & migration assistants
Support developer teams with code reviews, documentation and legacy system migration.
Agentic workflows
Automate multi-step business processes with AI agents that connect systems autonomously.
Data platform
10 Use cases
The foundation: securely integrate, model, govern and operate data productively.
Lakehouse architecture
A central lakehouse replaces the patchwork of data warehouse, data lake and Excel exports.
Data integration from ERP & MES
Automatically merge ERP and MES data instead of exporting and reconciling manually.
Streaming & real-time data
Instead of daily batch runs, relevant metrics are available within seconds.
Data modeling & semantic layer
A shared semantic layer ensures 'revenue' means the same thing everywhere.
Data quality & observability
Catch data errors before they land in the management report.
Data governance & permissions
Who may see and change what? Governance makes this traceable instead of arbitrary.
Cloud migration & modernization
Retire aging on-premise systems without putting live operations at risk.
MLOps & model operations
Don't just train models — operate them reliably and traceably.
Cost optimization (FinOps)
Make cloud costs transparent before the next bill causes surprises.
Data products & self-service
Business teams serve themselves with data instead of waiting in the IT queue.
Business Intelligence
10 Use cases
From reliable key figures to a management cockpit that is actually used.
Management cockpits
Revenue, margin and cash at a glance – updated daily instead of once a month.
Finance & controlling reporting
Month-end close and cost-center reports without an Excel marathon at the start of the month.
Sales & CRM analytics
Make pipeline, forecast and customer potential visible instead of guessing in the CRM.
Production & OEE reporting
Availability, quality and performance as a metric instead of gut feeling.
Supply chain reporting
Delivery reliability, inventory and freight cost visible along the entire chain.
Self-service BI enablement
Departments build their own analyses in Power BI instead of waiting on IT tickets.
KPI framework & definitions
One binding definition per metric, instead of five versions of 'revenue'.
Planning & forecast reporting
Plan-vs-actual comparisons automated, instead of painstakingly maintained Excel planning tools.
Embedded analytics
Analytics embedded directly in business applications instead of a separate BI tool.
Reporting automation
Recurring reports run automatically instead of being rebuilt every month.
Frequently asked questions
How do you find out which use case is worth it for us?+
We score every candidate by expected value, delivery effort and data maturity. What comes out on top is usually unspectacular but fast to deliver – and funds the next steps.
We don't have a data platform yet. Can we still start?+
Yes. We build the required infrastructure around the first use case instead of running a large platform project up front.
How long does a use case take to go into production?+
Usually one to three months – from the first workshop to a solution used in day-to-day business.
What if our use case isn't listed here?+
The list shows recurring patterns, not a final selection. Most of our projects start with a question that isn't on any page yet.
How does it pay off?+
Every use case comes with a business case whose assumptions you can check: hours saved, downtime avoided, less scrap or additional revenue.
ROI calculator for your use case
Choose a use case, enter your own figures and see in seconds how much value it creates per year. The defaults are realistic benchmarks from our projects.
Maschinenausfälle vorhersagen, bevor sie teuer werden.
How the value is created
Unplanned downtime hours per year × Costs per downtime hour gives the annual cost volume of the problem. Of that, we apply the share the use case realistically addresses (Reduction of unplanned outages).
The result is the annual value contribution of this use case – deliberately without project and operating costs. We compare those with you in the potential analysis.
Result
Predictive Maintenance
Avoided downtime and maintenance costs p. a.
€141,120
Business value per year
- Cumulative over 3 years
- €423,360
- Value per month
- €11,760
Value build-up over 3 years
Simplified model based on your assumptions — not a quotation. During the potential assessment, we calculate the case using your real data.
An initial indication — not a full business-case calculation
The calculator deliberately uses only a few variables. A robust business case depends on many more factors: data availability and quality, existing systems and interfaces, process maturity, rollout scope, change and training effort, operating model, regulatory requirements, and actual cost and contribution-margin structures. We review these factors together and then calculate the case using your real figures.