IntelliSee safety intelligence research built from AI detection and physical security analysis
IntelliSee IntelliGence

Strategic research for proactive safety leaders.

Open analysis on AI-powered physical security, detection architecture, compliance, policy, sector risk, and the operational shift from recorded video to verified response.

6Research streams
QATTDHS SAFETY Act context
2026Active policy tracking
FieldDeployment-informed analysis
Latest and Featured

The live IntelliGence library.

Latest briefs, spotlight analysis, discipline filters, article index, and curated reading paths stay powered by the existing Intelligence publishing system.

Current SpotlightLatest briefing
The Retail Shrink Measurement Gap: A 2026 ROI Framework on Verified Detection Data, the NRF Reporting Gap, and the AI Video Analytics Business Case Working ROI Frameworks
19 min readOpen access

The Retail Shrink Measurement Gap: A 2026 ROI Framework on Verified Detection Data, the NRF Reporting Gap, and the AI Video Analytics Business Case

NRF says shoplifting incidents rose 18 percent in 2024. The FBI's own two crime-reporting systems disagree by 93 percentage points on the same underlying trend. A primary-source economic model for loss-prevention leaders who need a defensible number instead of a contested one.

Key Numbers
18%increase in average shoplifting incidents retailers reported year-over-year, 2024 vs. 2023 (NRF/LPRC 2025)
64%of retailers report fewer than half their store theft incidents to law enforcement (NRF/LPRC 2025)
93 ptsgap between FBI NIBRS and SRS shoplifting trend data, 2019-2023 (Council on Criminal Justice)
Read the Dispatch
The Index

Every dispatch, ordered by date.

The Retail Shrink Measurement Gap: A 2026 ROI Framework on Verified Detection Data, the NRF Reporting Gap, and the AI Video Analytics Business CaseROI FrameworksThe Retail Shrink Measurement Gap: A 2026 ROI Framework on Verified Detection Data, the NRF Reporting Gap, and the AI Video Analytics Business CaseA 2026 ROI framework for retail loss prevention leaders: how NRF, FBI, and Council on Criminal Justice data expose a shrink-measurement gap, and how to build an AI-verified loss baseline that survives a finance...Dispatch No. 119 min readRead dispatch The Reimbursement Cliff of Inpatient Falls: A 2026 ROI Framework on the CMS Non-Payment Rule, the Sentinel-Event Reality, and the Long-Lie Interval That Decides the CostROI FrameworksThe Reimbursement Cliff of Inpatient Falls: A 2026 ROI Framework on the CMS Non-Payment Rule, the Sentinel-Event Reality, and the Long-Lie Interval That Decides the CostPatient falls are the top sentinel event in U.S. hospitals and the added cost is unreimbursed by Medicare. This ROI framework anchors the inpatient fall business case to four variables and the long-lie interval...Dispatch No. 215 min readRead dispatch The Capital-Budgeting Case for AI Physical Security: A 2026 ROI Framework on After-Tax Cost, the OBBBA Depreciation Reset, CapEx vs. OpEx, and Payback PeriodROI FrameworksThe Capital-Budgeting Case for AI Physical Security: A 2026 ROI Framework on After-Tax Cost, the OBBBA Depreciation Reset, CapEx vs. OpEx, and Payback PeriodThe 2025 tax law reset the capital-budgeting math for AI physical security. A ROI framework on after-tax cost, bonus depreciation, Section 179, MACRS, and the payback and NPV numbers a finance committee actually asks...Dispatch No. 313 min readRead dispatch Avoided-Incident Attribution for AI Physical Security: A 2026 ROI Framework on the Counterfactual Methodology Boards, Insurers, and Procurement Teams Now DemandROI FrameworksAvoided-Incident Attribution for AI Physical Security: A 2026 ROI Framework on the Counterfactual Methodology Boards, Insurers, and Procurement Teams Now DemandFederal evidence hierarchy, three attribution traps, and the six-input counterfactual decomposition for security-AI ROI claims that survive board, insurer, and audit review.Dispatch No. 414 min readRead dispatch Detection-to-Response Latency Economics: A Quantitative ROI Framework for Translating Compressed Seconds Into Loss-Cost Reduction in AI Physical SecurityROI FrameworksDetection-to-Response Latency Economics: A Quantitative ROI Framework for Translating Compressed Seconds Into Loss-Cost Reduction in AI Physical SecurityA finance-committee-grade ROI model that prices the seconds between detection and response. Four-phase latency decomposition, five-tier loss-cost stack, and a six-step procurement workflow with primary-source slope coefficients.Dispatch No. 518 min readRead dispatch The True Workplace Violence Cost: A Seven-Tier Decomposition for Risk Leaders, CFOs, and Insurance UnderwritersROI FrameworksThe True Workplace Violence Cost: A Seven-Tier Decomposition for Risk Leaders, CFOs, and Insurance UnderwritersA finance-defensible seven-tier decomposition of workplace violence cost: direct medical, productivity, regulatory, litigation, security response, retention, and insurance. Primary-source benchmarks for CFO-grade ROI modeling.Dispatch No. 616 min readRead dispatch The Physical Security Staffing Crisis: An ROI Framework for AI-Augmented Guard OperationsROI FrameworksThe Physical Security Staffing Crisis: An ROI Framework for AI-Augmented Guard OperationsThe physical security labor market is broken. The ROI model for fixing it runs through AI. 77% Annual turnover rate in the security guard sector, 2024 (ASIS International / Building Security Services) 162,300 Annual...Dispatch No. 717 min readRead dispatch Workers’ Compensation Economics and AI Physical Security: How Detection-to-Response Compression Reduces Loss CostsROI FrameworksWorkers’ Compensation Economics and AI Physical Security: How Detection-to-Response Compression Reduces Loss CostsA primary-source ROI framework that turns AI physical security into a workers' compensation loss-cost lever. NCCI severity data, Liberty Mutual cost rankings, and BLS reporting-lag mechanics built into a defensible carrier conversation.Dispatch No. 816 min readRead dispatch The Four-Variable ROI Framework for AI Physical SecurityROI FrameworksThe Four-Variable ROI Framework for AI Physical SecurityThe AI physical security ROI conversation has shifted from soft narrative to a four-variable economic model finance committees can defend. This Intelligence report walks through each variable with primary-source benchmarks for healthcare, K-12, manufacturing,...Dispatch No. 916 min readRead dispatch
The Research Desk

Research should clarify the next decision.

Our library stays open access so security, risk, and operations leaders can evaluate the evidence before they evaluate a platform.

Talk with an Intelligence Advisor
Editorial Methodology

A research practice, not a content calendar.

Every dispatch is grounded in current standards, field-tested deployment patterns, primary-source research, and clear limits. The goal is not volume. The goal is better physical security decisions.

CitePrimary sources
TestField frameworks
NameKnown limits
Security camera monitoring used to evaluate proactive safety strategy

Have a specific environment to evaluate?

Share the risk profile, camera footprint, and response workflow. We will help translate the research into a practical detection plan.