Loss control AI practice library32
DesignSTR-01
Loss control AI transformation thesis
Define how AI will improve inspection reach, hazard insight, engineering consistency, mitigation, field capacity, and loss outcomes while protecting safety and trust.
PilotSTR-02
Service journey decision and authority map
Map referral, preparation, site access, inspection, evidence, analysis, recommendation, communication, follow-up, verification, escalation, and closure decisions.
OperateSTR-03
Use case outcome and boundary
State customers, properties, operations, hazards, tasks, decision influence, exclusions, authority, risk, measures, and unacceptable outcomes.
ImproveSTR-04
Portfolio sequencing and dependency plan
Sequence initiatives using hazard and customer value, safety, data, device, vendor, workforce, jurisdiction, platform, and change dependencies.
DesignCTX-01
Exposure data quality and provenance
Document source, ownership, permission, relevance, completeness, accuracy, currency, lineage, reconciliation, and material limitations of exposure data.
PilotCTX-02
Location building occupancy and operations context
Establish site, building, occupancy, process, equipment, protection, maintenance, environment, and operational context before interpreting observations.
OperateCTX-03
Hazard vulnerability and control taxonomy
Use consistent definitions for hazards, vulnerabilities, safeguards, recommendations, severity, urgency, evidence, verification, and closure.
ImproveCTX-04
External geospatial sensor and imagery review
Review geospatial, weather, aerial, satellite, sensor, telematics, imagery, and third-party data for fitness, privacy, bias, stability, and permitted use.
DesignINS-01
Inspection planning and triage
Prioritize inspections using exposure, hazard, change, loss history, customer need, engineer capability, travel, safety, service level, and uncertainty.
PilotINS-02
Field image video and document capture
Capture time, location, source, consent, context, orientation, quality, completeness, integrity, retention, and chain of custody for field evidence.
OperateINS-03
Remote inspection and connected device evidence
Use remote inspection and connected devices only where access, instructions, verification, privacy, security, reliability, and fallback are adequate.
ImproveINS-04
Observation confidence and evidence integrity
Separate observed fact, inferred condition, missing evidence, model output, customer statement, engineer judgment, and uncertainty.
DesignENG-01
Hazard detection and severity assessment
Detect and characterize hazards using validated definitions, representative conditions, confidence, severity, controls, uncertainty, and escalation.
PilotENG-02
Recommendation drafting and prioritization
Draft specific, feasible, prioritized recommendations with hazard rationale, expected improvement, urgency, owner, due date, and verification criteria.
OperateENG-03
Engineering judgment and uncertainty
Preserve qualified engineering judgment, alternatives, assumptions, uncertainty, overrides, dissent, escalation, and accountability.
ImproveENG-04
Account portfolio and accumulation insight
Aggregate account and portfolio signals without losing site context, masking uncertainty, double counting exposure, or overstating risk reduction.
DesignHUM-01
Field safety and stop work rules
Protect field staff and customers through job planning, access rules, personal protective equipment, stop-work authority, emergency procedures, and escalation.
PilotHUM-02
Qualified engineer authority and review
Assign qualified authority for inspection scope, hazard conclusions, recommendations, exceptions, communication, verification, and closure.
OperateHUM-03
Recommendation communication and feasibility
Explain the hazard, evidence, severity, recommendation, feasibility, timing, benefit, limitations, alternatives, and consequences of inaction.
ImproveHUM-04
Customer correction disagreement and recourse
Allow customers and engineers to correct facts, add evidence, disagree, request review, document constraints, and appeal material conclusions.
DesignTEC-01
Model and agent validation
Test models and agents for detection performance, severity calibration, uncertainty, robustness, fairness, prompts, retrieval, tools, and failure modes.
PilotTEC-02
Tool access security and resilience
Control identity, permissions, sensitive evidence, secrets, prompt injection, device actions, reports, logs, downtime, rollback, and safe failure.
OperateTEC-03
Device data and cyber controls
Protect device identity, configuration, communications, firmware, data integrity, access, retention, incident response, continuity, and decommissioning.
ImproveTEC-04
Vendor data model and evidence controls
Align providers on scope, data, models, devices, validation, security, changes, incidents, evidence, regulatory support, continuity, and exit.
DesignMON-01
Recommendation status and verification
Track recommendation ownership, due dates, status, evidence, verification method, exceptions, extensions, reopening, and closure authority.
PilotMON-02
Risk improvement and loss outcome measurement
Measure hazard reduction, control effectiveness, exposure change, loss frequency, loss severity, customer outcomes, uncertainty, and attribution.
OperateMON-03
Drift false positive and miss monitoring
Monitor misses, false positives, severity errors, drift, data changes, engineer overrides, segment performance, thresholds, and remediation.
ImproveMON-04
Incident complaint and feedback integration
Connect field incidents, customer complaints, disputes, device events, adverse outcomes, near misses, and losses to root cause and system change.
DesignGOV-01
Loss control AI governance
Set ownership, risk tier, approvals, validation, operating limits, monitoring, material change, incidents, restrictions, and retirement decisions.
PilotGOV-02
Fairness privacy accessibility and jurisdiction review
Evaluate fair access, privacy, surveillance, accessibility, notice, consent, record, explanation, safety, insurance, and jurisdiction requirements.
OperateGOV-03
Economics field capacity and workforce realization
Connect AI use to inspection reach, response time, recommendation quality, field safety, mitigation, loss outcomes, workforce capacity, and total cost.
ImproveGOV-04
Lessons learned and continuous improvement
Use verification, experience studies, loss reviews, customer and engineer feedback, incidents, and hazard research to improve or retire systems.