Incident Management & Safety Observation
AI-based Predictive Incident Management & Safety Observation
The incident you prevent is the one you saw coming.
One platform where incident records, safety observations and behaviour-based safety observations (BBSO) interconnect - turning frontline behaviour data into forward-looking incident predictions, not month-end reports.
Capture
Mobile, offline-first, multilingual reporting from every worker
Correlate
Behaviour, hazard and incident data on one causal model
Predict
Risk scored by area, crew and shift - before the event
01 - The interconnect, in data
BBSO behaviour data moves first. The incident follows. The model reads the gap.
A single site's 26-week series with BBSO and incident management integrated: at-risk behaviour rate, the resulting predicted incident risk index, recordables as they occurred, and a six-week forecast with its confidence interval.
Predicted incident risk index - Site 04
Weeks 1-20 actual | 21-26 forecast-
Risk index
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BBSO at-risk rate
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Recordables this week
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Series
SAMPLE DATA - SHOWN TO ILLUSTRATE MODEL OUTPUT, NOT A CUSTOMER RESULT
02 - The interconnect
Most safety systems record the past. Interconnection is what makes them predictive.
Incidents, near-misses, hazard reports, permits and BBSO cards typically live in separate registers, so unsafe behaviour is only ever explained after harm occurs. Sparrow writes all of them to one event model with a shared taxonomy of location, activity, crew, shift and behaviour category - the minimum condition for a statistically honest prediction.
SOURCE 01
BBSO cards
Safe / at-risk behaviour, coaching outcome, observer & crew
SOURCE 02
Safety observations
Unsafe conditions, housekeeping, PPE, hazard reports
SOURCE 03
Incidents & near-misses
Injury, property, environment, first-aid, root cause
SOURCE 04
Work context
Permits, shift rosters, contractor mix, training records
NORMALISED TO ONE EVENT MODEL
STEP 01
Correlate
Behaviour patterns matched against incident history by area, activity, crew and shift.
STEP 02
Score
A rolling risk index per location and team, weighted by severity potential and recency.
STEP 03
Intervene
Targeted actions, toolbox topics and inspections issued to the owner with due dates.
What the model learns
Which at-risk behaviours precede which incident types, in which conditions, and how quickly that risk decays after an intervention.
Why it stays credible
Every prediction is traceable to the observations behind it. Observers are never scored punitively - reporting volume is protected as a leading indicator.
03 - The platform
Built for the frontline first - because prediction is only as good as what gets reported.
Incident Management
Report to closure in one workflow: notification, severity triage, investigation (5-Why, ICAM-style causal trees), CAPA with owners and due dates, and statutory reporting formats.
- 01Notification and severity triage from any device
- 02Investigation with 5-Why and ICAM-style causal trees
- 03CAPA with named owners and due dates
- 04Statutory reporting formats out of the box
Safety Observation & BBSO
Configurable observation cards with a behaviour taxonomy, safe/at-risk ratios, coaching conversations logged at the point of observation, and observer participation tracking.
- 01Configurable cards on a shared behaviour taxonomy
- 02Safe / at-risk ratios by area, crew and shift
- 03Coaching logged at the point of observation
- 04Observer participation tracked, never punitively
Frontline capture
Mobile app that works offline in plant interiors and syncs on reconnect. Multilingual interface, photo and voice capture, QR-tagged locations, and a report in under 60 seconds.
- 01Offline-first, syncs on reconnect
- 02Multilingual interface for mixed workforces
- 03Photo, voice and QR-tagged locations
- 04A complete report in under 60 seconds
Analytics & dashboards
Leading-indicator dashboards by site, contractor and shift; heat maps of predicted risk; drill-through from any score to its source records; scheduled board packs.
- 01Leading indicators by site, contractor and shift
- 02Heat maps of predicted risk
- 03Drill-through from any score to source records
- 04Scheduled board packs
Interconnects with the systems you already run
REST API, SSO and webhooks, with cloud or in-country private hosting, role-based access down to site and contractor level, a full audit trail, and no-code configuration of forms, taxonomies, workflows and escalation matrices.
SAP / ERP work orders
HRMS & contractor gate
Permit to work
LMS / training records
SCADA / process alarms
Maintenance (CMMS)
BI / data warehouse
Teams / email alerts
04 - What changes
From lagging counts to leading signals you can act on this shift.
Reporting stops being a chore
Sub-minute capture, offline and in the worker's language, lifts observation volume - the raw material of prediction.
Supervisors get a shift-level target
Risk scores name the area, crew and behaviour to address, not a generic safety reminder.
Leadership sees exposure, not history
One comparable index across sites and contractors, with drill-through to source records for audit.
10,700+
Sites live
1,10,000+
Workers covered
0.7M+
Observations logged
60
Industries served
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