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AI that analyses workplace usage patterns to optimise office space, seating, and hybrid work arrangements. Includes occupancy prediction and space allocation optimisation; distinct from facilities management in operations which manages building systems rather than analysing usage.
Workplace analytics is a mature, deployable capability for hybrid-era enterprise real estate strategy. AI-powered occupancy sensors, desk booking integration, and predictive space models deliver quantified ROI: real estate cost reductions of 10-20%, energy savings of 20-30%, and high-impact case studies like Quantum Health avoiding $13.5M in unnecessary renovations and Fresenius achieving $60M in lease avoidance via occupancy data. The vendor ecosystem is advanced and competitive—VergeSense, Cisco, Eptura, Basking, and others all operate at scale. The core tension is not technical maturity but organisational adoption: industry evidence shows widespread data collection (92% of CRE teams now exploring AI), yet persistent underutilisation gaps (occupancy often below 40% even with analytics deployed) and data quality constraints (only 7% of organisations report excellent data collection). The category bifurcates sharply: large enterprises with dedicated real estate teams and governance infrastructure continue capturing ROI; mid-market organisations struggle with integration complexity, employee privacy concerns, and regulatory uncertainty around occupancy monitoring compliance.
Adoption breadth and scale are now demonstrated. OfficeSpace's 2026 Built World Market Report (954 organisations, 116M sq ft) shows presence data adoption (sensors, Wi-Fi, badge) jumped 58% since 2024; occupancy booking trends reveal desk bookings +8% YoY and room bookings +20% YoY. CBRE's 2026 Global Workplace & Occupancy Insights report documents 53% global utilisation (up from 38% in 2024) and shows 92% of CRE teams now exploring AI-powered analytics. Desk-sharing ratios are evolving toward 0.3-0.7:1 benchmarks as organisations use occupancy data to drive activity-based layouts -- case studies document 25-60% space reductions via accurate peak occupancy analysis, with cost savings of $1.2M--$2.4M per employee annually at enterprise scale. Energy ROI is documented at 20-30% reductions through occupancy-driven HVAC and lighting control; a children's hospital deploying occupancy sensors achieved 30% energy savings, while broader research shows HVAC reductions of 10-15% and ventilation savings of up to 55% depending on control strategy.
Deployment challenges remain structural, not technical. Data integration failures prevent actionable insights: organisations collecting occupancy, booking, and badge access data from separate systems often cannot make confident space decisions due to conflicting signals. Only 7% of organisations report excellent data collection quality, and 80% of CRE decision-makers report lacking adequate data for confident space decisions -- despite deploying sensors. Privacy and regulatory constraints are tightening: CCPA/CPRA/BIPA, UK/EU employment law, and labour relations concerns (NLRB, unfair labour practice charges) increasingly limit acceptable occupancy monitoring scope. Two-thirds of organisations sit below 60% office utilisation despite having analytics deployed, exposing the analytics-to-policy gap: measurement capability has matured, but translating data into action requires policy changes (RTO mandates, space investment, HR system integration) that many organisations have not yet committed to. Mid-market adoption remains constrained by integration complexity, employee trust deficits, and regulatory uncertainty around lawful and proportionate monitoring. The vendor ecosystem is mature and competitive (VergeSense, Cisco, Eptura, Basking, Maptician, Archie), with VergeSense's Large Spatial Model, Cisco's AI Workspaces stack, and privacy-first alternatives like PLEQ advancing the technical frontier -- but organisational integration barriers, not technical limitations, define adoption velocity.
— Vendor case study: children's hospital achieved 30% HVAC energy savings using occupancy-driven ventilation; demonstrates real-world ROI from occupancy data integration.
— Outlines six ROI drivers for occupancy analytics (real estate optimization 10-20%, energy 20-30%, cleaning 20-30%). Names Fresenius case: $60M lease avoidance via spatial data.
— Vendor content citing independent third-party surveys (CBRE, JLL) with specific market metrics and case study outcomes showing 25–60% space reduction using occupancy data.
— Directly addresses workplace analytics failure modes in space utilization. Analyzes why occupancy + booking + access data misalignment prevents confident space/cost decisions. Provides critical assessment of adoption barriers.
— Forrester's Cisco Spaces TEI study documented 172% three-year ROI with payback under six months, quantifying enterprise value capture from occupancy analytics deployment.
— Large-scale market benchmark showing occupancy patterns and booking trends across 954 organizations, demonstrating adoption breadth and providing concrete metrics for hybrid workplace behavior.
— Gable's 2026 benchmarks show global office utilization at 53%, up from 38% in 2024, reflecting mixed recovery trajectory as organisations navigate policy constraints.
— Spaceful Workplace Insights Report surveyed 1000+ Australian employees showing 88% productivity gains and 65% reduced turnover from occupancy-data-driven space redesign.