CRR Analyst — Community Risk Intelligence
Watch REEKON CORE ingest inspection records, RMS incident history, demographic data, and building age data — identify a high-risk cluster, score individual properties, generate a priority inspection queue, and produce an actionable community risk brief with source links back to every record.
CRR Analyst
Community risk reduction intelligence
Risk cluster confidence
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Inspections
RMS history
Demographics
Building age
GIS / parcels
Risk scoring
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Step 1 — Inspection data ingested
REEKON ingests 2,140 property inspection records from the agency system: last inspection date, violation history, violation type, and resolution status. Properties overdue (>90 days) flagged: 34 properties.
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Step 2 — RMS incident history cross-referenced
3 years of RMS incident data cross-referenced against inspection records. Properties with prior fire incidents, EMS responses, and code violations merged into a unified risk dataset. Repeat-incident addresses identified.
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Step 3 — Demographic data layered
Census and demographic data added: population density, senior population percentage, non-English speaking households, and median income. REEKON identifies demographic risk multipliers — areas where community education gaps compound structural risk.
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Step 4 — Building age analysis
Parcel and building age data added via GIS. Cluster of pre-1970 structures identified in the southeast district — median build year 1961, indicating likely absence of modern sprinkler and electrical code compliance.
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Step 5 — Risk cluster identified
Multi-factor AI analysis identifies 23 high-risk properties in a 0.6 sq mi cluster: repeated violations, prior incidents, pre-1970 structures, and demographic risk multipliers all present. Cluster incident rate: 4.1× above city average.
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Step 6 — Individual risk scoring
Each of the 23 properties scored 0–100 across 6 risk dimensions: inspection history, incident history, building age, occupancy type, demographic vulnerability, and violation severity. Top 5 priority inspection addresses generated.
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Step 7 — CRR action brief generated
REEKON generates complete CRR action package: priority inspection schedule, smoke alarm canvass plan, community outreach recommendations, and grant application data — all with source links back to individual property records, RMS incidents, and census data.
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Step 8 — CRR team notified
Brief routed to Fire Marshal, CRR Program Manager, and Inspection Supervisor. Includes priority queue with direct links to each property record, grant-ready risk data, and outreach schedule draft — ready for program implementation.
0–15 min (core)
15–25 min
25–30 min
Perimeter
Southeast District — Los Angeles County
REEKON CORE — Alert detail
REEKON CORE
CRR analyst brief
Awaiting risk assessment completion...
REEKON CORE — Alert detail
AI community risk assessment
Populates on risk threshold...
Generating REEKON assessment...
Risk cluster summary
High-risk addresses identified23
Repeat inspection violations11 properties
Overdue inspections (>90 days)34 properties
Median building age (cluster)1961
Prior incident rate (cluster)4.1× above city avg
Priority inspection queue
1. 442 S Central AveRisk score 94
2. 1180 E 6th StRisk score 91
3. 2244 Maple AveRisk score 87
4. 880 S Alameda StRisk score 83
5. 1440 E Olympic BlvdRisk score 79
Recommended CRR actions
Priority inspection schedule⇨ Generated
Smoke alarm canvass — Cluster ADraft ready
Community outreach planDraft ready
Grant application data⇨ Compiled