Interactive
Explore the architecture
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- Data orchestration
- 14 architecture layers
- Principles & outcomes
Foundation
Our principles
Eight non-negotiable principles carry the entire Business Architecture: continuity without media breaks, an end-to-end view across all areas, data quality as the basis for decisions, sovereignty over your own data, automation where it relieves accountability, security and compliance built in, and people as the decision-makers. These principles are not decoration, they are the yardstick: every component, every integration and every process is measured against whether it reduces friction, increases steerability and protects trust.
Layer 1
Business areas: one shared basis
Marketing, sales, procurement, production, logistics, HR, service, executive management and compliance work from one shared basis of information for the first time instead of in separate worlds. An inquiry becomes an order without a break, the order becomes a production plan, the plan becomes a supply chain, the supply chain becomes a service case. Knowledge that used to disappear into individual heads and spreadsheets becomes part of a steerable whole. You see the value chain in full for the first time and can decide with reason at every level of leadership.
Layer 2
System landscape: grown over time, yet manageable
Landscapes that have grown over time are the normal case, not the exception. Acquisitions, legacy systems and departmental solutions leave holdings that no one fully oversees any more. The architecture takes them as they are: structured holdings from ERP and CRM, semi-structured sources such as correspondence and case files, unstructured content such as contracts, documents and measurement data, whether in your own house, in European infrastructure or mixed. Nothing is forced into a rigid scheme. Information is collected where it arises. Heterogeneity stops being a cost factor.
Layer 3
Governance and data security
Between the sources and the steering layer sits the layer that decides your position in front of the supervisor when it matters: regulated access rights, classification by protection requirement, encryption in transit and at rest, complete audit evidence and end-to-end data lineage. GDPR and the EU AI Act are anchored in the architecture instead of attested afterwards. Every data movement is provable, every access decision documented. Governance here is not bureaucracy, it is the precondition for being allowed to decide in an automated way in a regulated market at all.
Core
Central steering layer
At the center sits the layer that turns distributed holdings into one dependable overall picture. It takes in raw data, standardizes it, enriches it with business meaning and makes it available again in context: for managers, for applications and for automated procedures. It is vendor-neutral and can switch the models in use by risk, cost and sovereignty requirement without the business being affected. Which technology you use tomorrow therefore remains a decision of your organization and not of a vendor.
Layer 5
Knowledge as company capital
At this level, information becomes dependable knowledge. Documents, search holdings, business context and curated company knowledge are connected so that every answer remains traceable to its source. Staff find in seconds what used to take hours, and machine-generated answers cite their evidence instead of inventing it. Above all, knowledge stops being tied to individual people. It stays in the company, even when someone leaves.
Layer 6
Decision Intelligence and automation
This level determines how fast your company reacts. Recurring cases run without manual intervention, documents are recognized and assigned, key figures emerge continuously instead of at month end, bottlenecks become visible before they occur, and compliance checks run alongside the work rather than after it. Managers regain capacity because routine no longer lands on their desk. Automation does not replace people here. It increases their effectiveness and the quality of the decision.
Layer 7
Enterprise Intelligence: steering in real time
Leadership needs the state of the company as it is now, not a monthly report seen through the rear-view mirror. Key figure views, early warning and scenario calculation turn the information basis into concrete management decisions. Executive management and unit leads can test an assumption against the actual situation instead of guessing at it. The question shifts from "what happened?" to "what do we do now?", and the answer can be justified at any time, including in front of the supervisory board and the auditor.
Layer 8
Operating foundation and cost control
The foundation carries every layer above it and at the same time determines your running costs. It is deliberately built as a mix: critical holdings stay in your own house or in sovereign European infrastructure, fluctuating loads use elastic capacity. No lock-in, no data flowing into jurisdictions you cannot control, no dependence on a pricing policy you have no influence over. The foundation can grow, shrink and be reordered without disturbing the business above it.
Layer 9
Connectivity layer and access control
Every request in the company is authenticated, authorized and logged. That ends the idea of a trusted interior protected by an outer boundary. Sites, data centers, European regions and mobile staff are subject to the same security standard. Response times, capacity and resilience become deliberate decisions instead of accidental outcomes. For executive management this means that access to sensitive holdings can be evidenced at any time.
Layer 10
Business Integration
Point-to-point connections grow disproportionately with every new application and tie up budget that is then missing elsewhere. We replace them with one common language between systems: defined handover points, versioned contracts, binding schemas. Third-party systems, from CRM and ERP through to industry-specific software, connect to the same points. Integration moves from a project effort to a configuration decision. After an acquisition, that is the difference between an integration that takes effect within months and one that is still unfinished years later.
Layer 11
Compliance and evidence
Regulation is not an appendix, it is part of value creation. Risk classification under the EU AI Act, procedures under GDPR, audit-proof evidence for supervisors and certification, continuous security testing: every record carries its compliance profile with it, every automated decision remains justifiable in substance and in law. What used to be maintained in spreadsheets and checklists now arises in day-to-day operations. An examination turns from a weeks-long state of emergency into a query. Trust becomes provable towards supervisors, clients and your own organization.
Layer 12
Operational monitoring and reconciliation
A company that does not continuously reconcile its own information hears about disruptions from customers or auditors. This level detects deviations before they bring things to a standstill, reconciles holdings against each other and makes it visible when a procedure departs from its expected behavior. Response times and hit rates are interpreted in business terms, not only measured technically. Without this level, a distributed architecture cannot be operated responsibly. With it, assumption becomes certainty.
Layer 13
Organization and Change Management
Technology only carries what the organization carries. Enablement, Change Management, binding guidelines for the use of automated procedures and clearly cut roles anchor the target picture where decisions are taken every day. We win over advocates in every department, make data literacy a cross-cutting skill and design workflows so that staff are involved rather than overrun. Without that anchoring, every investment remains an expensive tool with no effect. With it, it becomes a multiplier of trust, speed and the capacity to innovate.
Layer 14
Effect on the business
The interplay of the 13 layers produces the business effect: decisions become faster and more dependable, routine no longer ties up management capacity, cost from redundancy and rework disappears, data lineage is provable at any time, acquisitions can be integrated in months instead of years, sovereignty over your own holdings is preserved, and regulatory exposure falls. Zero Friction Data Flow is not a state, it is an operating mode in which steerability becomes habit.