System analysis & selection
Map the existing landscape, consolidate requirements from asset, property and FM, assess vendors in a structured way. Output: fact based decision instead of vendor charm.
Integrate building management, IoT, CAFM and ERP into a shared data foundation. From vendor selection through rollout to operations, with a clear architecture and minimal lock-in.
Between 2000+ PropTech vendors and real operational needs sits a gap. Most projects do not fail on technology but on integration, data quality and missing governance.
Many real estate companies already run systems: building management, CAFM, maybe IoT sensors for single use cases. Each useful by itself, yet together a data jungle emerges. Decisions on consumption, maintenance and occupancy rest on isolated figures that nobody consolidates.
We consolidate the landscape. Sharpen requirements, assess vendors, plan integration, build the data architecture. The goal is not another piece of software but a shared data foundation that asset, property and FM teams carry together.
Four priorities that interlock in every PropTech mandate. From requirement clarity to productive operation.
Map the existing landscape, consolidate requirements from asset, property and FM, assess vendors in a structured way. Output: fact based decision instead of vendor charm.
Data model, interfaces and governance for BMS, IoT, CAFM and ERP set up. One data foundation that does not need renegotiation each time.
Energy, occupancy, predictive maintenance, tenant communication designed for your assets. With a clear business case and measurement criteria.
Pilot, scale, training and handover into operations. Change management for property and FM teams included. No investment ruin, but a lived standard.
Twelve to twenty weeks depending on portfolio and vendor landscape. We work with asset, property, FM and IT together, not sequentially.
Collect requirements from all roles, sketch the data model, assess architecture variants. Output: aligned target picture with cost frame and priorities.
Structured vendor assessment, pilots in one or two assets, integration wired into the data architecture. Output: validated use case with solid metrics.
Scale to more assets, train the teams, hand over operations. SLAs anchored with vendors, monitoring in daily operations. Output: platform runs without permanent consulting.
A system landscape that your teams understand, steer and extend. Without vendor lock-in.
Fragmented systems become a clear data foundation. Dashboards show uniform metrics, decisions become traceable.
Every integration with a documented business case. Spend flows into what works operationally, not into marketing features.
Standardized integrations and templates cut time to first result. Pilot, measurement and decision in one quarter.
Architecture, roles and processes anchored in your line. Evolution happens internally, new vendors pass the same frame.
30 minutes. Initial assessment of system landscape, data foundation and integration effort. No commitment.