Move AI from experiment into the productive process.
We identify economically relevant use cases, assess feasibility and risk and move prioritised applications into productive operation – with governance and human-in-the-loop.
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AI pilots never leave the prototype stage
Use cases are not prioritised by business value
Governance, monitoring and rollout concept are missing
Data and processes are not accessible to AI
What we do
AI Use Case Discovery
Systematic identification and evaluation of relevant use cases along your processes.
Value & Feasibility
Assessment of business value, feasibility, data availability and risk.
AI Roadmap
Prioritised roadmap with clear success criteria and dependencies.
Workflow Automation
Automation of business workflows with suitable tools and human-machine interfaces.
Proof of Value
Prototype with measurable success criteria instead of an isolated experiment.
Governance & Scaling
Governance, monitoring, rollout and continuous improvement.
Supporting technologies
Technologies are a supporting layer – not the primary customer benefit.
Governance & security
Human-in-the-loop at critical decision points, traceable processes, role-based approvals and monitoring for quality and compliance.
Expected project results
- Prioritised AI roadmap
- Proof of value with measurable criteria
- Governance and monitoring concept
- Recommendation for scaling or realignment
Selected Experience
Experience with AI automation, digital business models and steering of corresponding programs.
FAQ
Do you start with strategy or directly with a prototype?
Both – we start with a focused use-case assessment and develop a proof of value with clear success criteria in parallel.
How do you ensure acceptance in the business?
Through human-in-the-loop at critical points, transparent approval processes and gradual rollout.
Do you also take on operations and monitoring?
Yes – governance, monitoring and continuous improvement are part of the scale-phase approach.
Practical guides for your business process
Explore example workflows, the information needed before implementation and the decisions that remain with your team.
AI document processing
A practical AI document-processing workflow, covering extraction, data checks, human approval and integration with SAP or other business systems.
Read the guide →AI-assisted project reporting
Use AI to prepare project-status reports from existing sources while keeping reporting periods, unresolved issues and human ownership clear.
Read the guide →Mobile SAP field workflows
Plan mobile apps integrated with SAP: provide work orders, capture data and photos, review entries and define reliable feedback into business systems.
Read the guide →Which of your processes should become smarter?
Briefly describe your starting point. We assess whether an assessment, a proof of value or a direct implementation project is the most sensible next step.
Have your project idea reviewed