Industry
Audit Firms for Video & Visual Evidence
Automate visual evidence processing with timestamped outputs, defensible traces, and auditor-driven HITL review.
What it does
An audit/assurance firm reviewing large volumes of video and images to extract proof, detect anomalies, and package evidence for cases.
Manual review is slow and inconsistent
Evidence packaging is painful
Need defensible timestamps and provenance
How it works
Typical workflow
Scenario
Typical workflow
1) Ingest footage and index timeline
2) Detect events/anomalies + extract candidate clips
3) Produce timestamped evidence bundle
4) Auditor reviews and corrects findings (HITL)
5) Attach evidence to case system via tools
Feature highlights
Scenario
Event detection
Vision modules find relevant events quickly and index them with timestamps.
Evidence packaging
Export clips, annotated frames, OCR, and reviewer notes as an audit-ready package.
Orchestrated workflows
Orchestrator coordinates steps and produces a full session trace for defensibility.
HITL review
Auditors validate findings and corrections become reward signals for interval training.
Governance
Trace every output to source frames and downstream actions. RBAC and audit logs included.
Multimodal foundation
Data House stores video, images, metadata, and case context together.
Audit evidence signals
Measure detection quality and audit readiness.
Track event detection confidence, reviewer throughput, and evidence completeness across cases.
- Event detection confidence and false positives.
- Reviewer throughput and corrections.
- Evidence pack completeness and traceability.
Audit signal map
Illustrative distribution across detection and review.
Detection quality
Scored
Confidence per event.
Review flow
Tracked
Queue and SLA timing.
Evidence pack
Complete
Clips, frames, notes.
Traceability
End-to-end
Frames tied to actions.
Proof
Evidence you can defend
Audit teams package clips, frames, and notes into review-ready bundles with full provenance.
Audit automation
Want faster, more defensible audit workflows?
We will build a vision pipeline with indexing, evidence packaging, HITL review, and case system integration fully traceable.