Capture complete incident reports from the field in real time
Sift extracts incident type, location, people involved, timeline, severity, and corrective actions from free-text incident reports for compliance and rapid response.
The problem
Incident reports are filed hours or days after the event on cumbersome paper forms. Critical details are forgotten, timelines are vague, and compliance teams chase staff for missing information. Reporting fatigue leads to underreporting.
The solution
Sift lets field staff describe what happened in their own words, immediately. The AI extracts the incident type, exact timeline, location, people involved, injuries, root cause indicators, and suggested corrective actions. Compliance teams get complete, structured reports in real time.
See the extraction
What users type
What you get
Workplace injury — forklift/pallet collision
~2:15 PM, warehouse floor near bay 7
James Chen (forklift operator), Maria Gonzalez (injured)
Left shoulder impact — conscious, mobile, sent to A&E
Forklift reversing alarm not functioning
First aid on site, area cordoned off, A&E referral
Why teams switch to Sift
Real-time reporting from the field
Staff can file a report by typing or dictating what happened immediately. No waiting for paperwork, no forgotten details.
Compliance-ready structure
Every report automatically contains the fields regulators require: who, what, when, where, injuries, and corrective actions.
Root cause extraction
Sift identifies equipment failures, process gaps, and environmental factors mentioned in the description.
Trend analysis
Structured incident data enables pattern detection across locations, shifts, and incident types to prevent recurrence.
The numbers
Up 60%
Reporting compliance
Lower friction means more incidents are reported, giving you a more accurate safety picture.
95%+
Report completeness
AI extraction captures details that are typically missing from hastily completed paper forms.
Real-time
Response time
Incidents are structured and routed immediately, not at the end of a shift or the next day.
Recommended fields
Recommended Form Fields
Frequently asked questions
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Use Cases
Sift parses free-text bug reports to extract steps to reproduce, expected vs actual behaviour, environment details, and severity so dev teams can fix faster.
Insurance ClaimsSift extracts incident details, policy data, damage assessments, and supporting evidence from free-text insurance claims to accelerate processing and reduce errors.
Complaint HandlingSift analyses customer complaints to extract the core issue, severity, desired resolution, and emotional tone so your team can respond with precision and empathy.