Case study
Audit firm: video & visual evidence processing
Event detection, timestamped evidence packaging, and auditor-friendly HITL review fully traceable and defensible.
Context
An audit firm reviewing large video volumes to detect events and package evidence for cases under strict traceability requirements.
- Manual review is slow
- Evidence packaging is repetitive
- Need defensible timestamps and provenance
- Auditors must stay in control
Components used
• Data House (video + metadata + case context)
• Vision modules (event detection + OCR)
• Orchestrator (pipeline + session traces)
• Sessions & HITL (auditor validation)
• WebKit (case system evidence attachment)
Problem
Auditors spent time searching for relevant moments and manually creating evidence packs. Consistency and traceability varied.
Xong approach
Create event indexes, extract clips/frames, package evidence with timestamps, route findings to auditors for validation, then attach to cases via tools.
What changed
More speed, more defensibility with auditors in control.
Event indexing
Timeline index of candidate events to accelerate review.
Evidence packaging
Timestamped clips and annotated frames exported as structured evidence bundles.
Orchestration + traces
Full session trace ties outputs to source frames and actions for defensibility.
Auditor HITL
Auditors validate findings; corrections become reward data for improvement.
Case integration
Attach evidence to case systems using WebKit tools with structured actions.
Governance
RBAC, audit logs, and retention controls for sensitive evidence.
Outcomes
Replace with measured KPIs from your pilots.
Faster review
↓ 25-60%
Illustrative range
More consistent evidence packs
↑ 30-50%
Illustrative range
Auditor throughput
↑ 1.5-2.5x
Illustrative range
Next
Want to automate your evidence processing?
Bring sample footage and case requirements. We will propose a pipeline with indexing, HITL validation, and tool-driven packaging.