Systems & Architecture
After the audit we implement the top levers. Clean data layers, redesigned processes, model-agnostic architecture. Investment is clearly defined before kickoff, with milestones.
Model
Clear phases. Clear ownership.
- 01 / 04
1. Audit identifies levers
From the audit you get three to five concrete levers with EUR figures, effort and risk profile.
- 02 / 04
2. Architecture definition
We define the data foundation, the processes, the interfaces. Investment is agreed with concrete milestones, before we build.
- 03 / 04
3. We build and integrate
Production-grade code, monitorable, with audit trail. Built model-agnostic so you can switch models tomorrow.
- 04 / 04
4. We operate and maintain
On request we also handle ongoing operations. Monitoring, updates, model swaps, scaling.
Risk distribution
What we carry. What you carry.
- Architecture and implementation risk
- Maintenance and bug fixes for the systems
- Responsibility for the agreed KPIs and milestones
- Data protection, NDA, GDPR compliance
- Tooling licenses during development
- Read access to your tools (Microsoft 365, DATEV, SAP, etc.)
- Two to three hours of your team's time per week during build
- Ongoing tooling costs after go-live (e.g. AI APIs, hosting)
- Leadership sign-off before rollout
- Agreed investment, paid in clear milestones
Tech Stack
What we build with.
AI Backbone
Anthropic Claude and Azure OpenAI as primary models. Local models for sensitive data, fully within your own cloud on request.
Workflow Engine
Microsoft Power Automate, AWS Lambda, Python services. Production-grade, monitorable, fully audit-trailed.
Data
Postgres, Snowflake, Microsoft Fabric. For DACH compliance: hosting entirely in Germany available.
Integrations
Microsoft 365, Google Workspace, SAP, DATEV, Salesforce, HubSpot, ServiceNow, REST and SOAP, documented and versioned.