FMJ Facilities Management magazine providing industry-specific intelligence to FM and property professionals
Executive Summary
Facilities managers face growing pressure to deliver greater operational resilience and value across increasingly complex estates. While many organisations have made strides in data-driven asset management, the next leap forward lies in transforming insight into foresight. The VIAverse® platform, through its MAP (Maintain, Assure, Predict) framework, is revolutionising how Natural Language Processing (NLP) and intelligent risk modelling enhance asset visibility, condition analysis, cost forecasting, and risk benchmarking. This transformation empowers clients to make faster, smarter decisions, safeguarding the value and resilience of critical infrastructure.
NLP Evolution: From Description to Classification
Free-text work orders have long been a rich but underused data source. Earlier versions of MAP connected work order descriptions with specific assets, but recent developments go further by classifying the nature of the repair itself. This deeper analysis reduces ambiguity, improves data consistency, and provides a more structured foundation for predictive modelling.
NLP and MAP Refine: Enhancing Survivability, Condition & Cost Forecasting
Accurate condition and cost forecasting depend heavily on the quality and completeness of underlying data. VIAverse® addresses this challenge through NLP and MAP Refine. NLP structures free-text records into actionable insights, while MAP Refine fills missing data attributes using verified reference sets. Together, they create a more intelligent, resilient forecasting capability.
Introducing Asset-Level Risk Scoring
KBR’s Estates Intelligence team has developed a method of calculating individual risk scores for each asset based on condition, cost, and survivability. This benchmarking capability allows users to pinpoint underperforming assets, understand systemic failures, and prioritize attention based on data-driven risk.
Asset-Type Intelligence: Identifying Systemic Risk
Aggregating asset-level risk data by type provides powerful insights into systemic issues. This view supports strategic decisions at the specification and procurement stages, improving long-term resilience.
From Buildings to Regions: Estate-Level Risk Insights
The greatest value emerges when intelligence is viewed holistically at the building, regional, or portfolio level. MAP enables targeted investment in estates that pose the most operational risk, supporting evidence-based planning for estate renewal, divestment, or refurbishment.
The VIAverse® platform is moving from providing insight to powering foresight. By blending NLP with data-driven risk modelling, KBR helps clients prepare for what will happen, ensuring operational resilience and financial efficiency.
To find out more about KBR’s Estates Intelligence services, or to discuss how our platform can support your estate’s needs, visit kbr.com/Estates-Intelligence
KBR Estates Intelligence
ei@kbr.com
01372 862865
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The view or information contained within these unedited press releases, are that of the company producing it and not necessary the views of kpm.
