Faster, higher-quality incident investigations
Human-in-the-loop AI that helps safety teams run evidence-based investigations—with professional outputs built in. Without compromising judgement.
Investigations fail for predictable reasons
Incident AI tackles these directly by making the investigation process structured, guided, evidence-centric, and output-ready.
Time pressure
Investigations must be done quickly, often while running operations.
Admin overload
Formatting, collating evidence, version control, and building reports is heavy work.
Inconsistent quality
Different investigators produce very different outputs; teams can't compare apples to apples.
Weak evidence linking
Findings and contributing factors are often not clearly tied back to evidence.
Gaps in interviews
Key questions get missed; follow-ups happen late or never.
Blame drift
Investigations can drift toward individual error instead of system conditions.
Fragmented evidence
Emails, photos, PDFs, statements, and logs are scattered across systems.
Weak corrective actions
Actions can be vague, not risk-based, and not measurable.
See every capability in action
From evidence ingestion to professional reports—watch how Incident AI accelerates each step of your investigation.
Evidence Ingestion
Bulk upload documents, emails, PDFs, and statements. Evidence is structured and indexed automatically to eliminate manual collation.
Download ExampleEvidence Review
Quickly surface key facts across large evidence sets. Trace every finding back to its source for full defensibility and confidence.
Case Management
Centralised control for all investigation artifacts. Manage timelines, evidence, and outcomes in a single, structured environment.
Timeline Builder
Structure events chronologically with 5-Whys style thinking. Automatically link timeline events to supporting evidence.
Table Editing
All tables can be edited now—add and remove columns and rows to finalise your incident within Incident AI.
Interview Support
Generate structured interview questions based on the current evidence set and investigation context to ensure no detail is missed.
Incident Wise
Query your entire evidence set using natural language. Get immediate answers to complex investigation questions with source citations.
Investigator Input
Investigators can now save their conversations at incident wise as evidence to steer with full auditability (saves time against manual edit).
Report Generation
Overview tools developing: initial details and investigation team information can now be included on the professional PDF report.
Download ExamplePhoto Library
Organise site photos and visual evidence with AI-assisted tagging and descriptions. Export professional visual annexures instantly.
Learnings Share
Distill investigation findings into shareable safety alerts and bulletins. Ensure critical insights reach the frontline faster.
Download ExampleIncident Overview
Continuous investment in tools that make investigations faster and more defensible, with new capabilities added monthly.
Review the outputs teams can audit
Download representative investigation artifacts, report examples, and security documents before a walkthrough.
Evidence ingestion example
See how imported statements, files, and source material are structured for traceable investigation work.
Open example PDFInvestigation report example
Review a professional PDF report format with structured sections and evidence-ready outputs.
Open report PDFLearning share example
Preview how investigation findings can be packaged into a frontline learning share.
Open learning shareSecurity overview
Understand the controls behind Incident AI, including data handling, privacy, and deployment posture.
Open security PDFNIST AI RMF statement
Read how MineGuard aligns AI risk management practices to governance and human oversight principles.
Open RMF statementHow Incident AI works
Reduce "blank page" time and improve consistency while keeping the investigator in control.
Create a Case
Open a new case and structure the initial event description, key facts, and immediate actions taken.
Import Evidence
Upload documents, emails, PDFs, photos, and statements. Evidence is organized and indexed automatically.
Generate Building Blocks
Create timelines, interview questions, evidence_gap suggestions, and causal analysis support with AI assistance.
Draft Outputs
Build investigation narratives, structured tables, and PEEPO-style evidence coverage artifacts.
Edit and Approve
All outcomes require human-in-the-loop approval before they can be exported. Review, edit, and sign off on all findings.
Compile Report
Generate a professional PDF report with supporting annexures. Ready for review and sign-off.
Evidence-first design
Outputs are anchored to what's actually in the evidence set. No unsupported conclusions.
Human-in-the-loop
Supports judgement rather than replacing it. The investigator remains in control.
Built for safety-critical
Structured, defensible, consistent output orientation. Designed for high-stakes environments.
Consistency at scale
Standardise quality across sites, teams, and investigators. Compare apples to apples.
Reduces admin drag
Accelerates the unglamorous work—collation, formatting, drafting—so teams can focus on analysis.
Real investigation focus
Built around what teams actually do under time pressure. Not academic, practical.