Problem Statement
Facility management platforms often face significant delays during client onboarding due to fragmented facility data, inconsistent asset documentation, and manual configuration of MEP asset hierarchies. Facility managers typically provide information in disparate formats—spreadsheets, PDFs, CAD drawings, legacy CMMS exports, or emails—requiring extensive manual effort to structure buildings, zones, systems, and equipment into a usable digital hierarchy. This process is time-consuming, error-prone, and lacks standardization across facilities.
Our Solution - Facility Onboarding Assistant
Facility Onboarding Assistant is an AI-powered solution that automates the onboarding of client facilities by transforming fragmented, unstructured facility and MEP asset data into a standardized, structured, and platform-ready digital model. It eliminates manual configuration, accelerates deployment timelines, and ensures facilities are operational within the system from day one—enabling faster value realization and scalable portfolio onboarding.
Key Features
- Automated Data Ingestion – Extracts data from spreadsheets, PDFs, CAD, and legacy systems.
- Asset Hierarchy Generation – Builds structured Site → Building → System → Equipment models.
- Data Standardization – Normalizes naming, classifications, and attributes.
- Validation & Quality Checks – Identifies gaps, duplicates, and inconsistencies.
- Instant Platform Activation – Publishes clean, ready-to-use facility data.