An iterative, user-centred and AI-assisted approach
We work closely with your business and IT teams, with clear responsibilities and regular reviews throughout delivery. With your agreement, AI supports delivery tasks and reduces manual effort, with human review at every step.
Five steps
1. Understand & Align
Understand the business process and agree objectives, scope and success measures. AI: AI organises requirements and identifies open questions; stakeholders confirm.
2. Design & Confirm
Review early prototypes with stakeholders and confirm business rules, data requirements and the solution approach. AI: AI develops early prototypes and explores solution options.
3. Build & Review
Develop in short cycles, review working solutions and agree the impact of requested changes. AI: AI assists development and documentation; our team reviews every result.
4. Validate & Approve
Validate functionality and data with business users against agreed acceptance criteria, then obtain approval before release. AI: AI supports test preparation and issue analysis.
5. Launch & Support
Provide documentation and training, agree support responsibilities and review the solution in daily use. AI: AI prepares user guidance and handover materials.
Principles
Clear ownership
Named contacts and agreed responsibilities for feedback, decisions and approvals. Our team stays responsible for delivery quality.
Transparent progress
Visible milestones, with early discussion of dependencies, scope changes and delivery risks.
Fit with your environment
Solutions built around your existing systems and agreed security and data protection requirements.
AI by agreement
Tools, permitted data and tasks are agreed before AI is used. Time saved is assessed alongside quality and usability against agreed success measures.
Quality in engineering
In engineering projects every design phase is mirrored by a verification step according to the V-model. This ensures traceability, quality and a faster start of production.
DIN/ISO drawings with GD&T · concept and design freeze gates (Konzeptfreigabe, Konstruktionsfreigabe) · simulation evidence before tooling release
Technology stack
Established platforms your IT department already trusts, combined where it creates value.
- Engineering
CATIA, SOLIDWORKS, Ansys, Abaqus, HyperMesh, PLM
- Data & cloud
Microsoft Azure, AWS, SQL Server, MySQL, Power BI, Databricks
- Low-code & automation
Microsoft Power Apps, Power Automate, Dynamics 365, Mendix, UiPath
- AI
Azure OpenAI, GitHub Copilot, Databricks Genie AI, LLM APIs & RAG pipelines