A forensic record for every AI-assisted decision.
Capture the human reasoning around AI outputs at the moment of decision. Detect drift, conflict, and over-reliance before they become outcomes.
- 8
- Pattern types
- 6h
- Capture window
- 100%
- Auditable
jbs-workbench · live capture stream
Methodology
From capture to reconstruction.
Three audited stages. Each one writes immutably to your agency's tenant — no edits, no exports without lineage.
- 01DCRR
Decision Capture
Server stamps the moment a window opens. Staff document reasoning while the AI output is still in front of them.
- 02DRPI
Pattern Inference
P1–P8 detectors run on every insert. Velocity, single-source, confidence/accuracy gaps surface automatically.
- 03CEGR
Evidence Reconstruction
Analysts cluster related events into a Conflict Evidence Graph Record with full traceability back to source.
Capabilities
Built for evidentiary scrutiny.
Server-issued capture window
Capture timestamps come from the database, not the device. Late documentation expires automatically.
Triangulation across staff
When two people disagree on the same event, the record is flagged for analyst review.
P1–P8 pattern detection
Low-confidence clusters, velocity spikes, and accuracy gaps surface automatically once the agency activates.
Immutable after completion
Records cannot be edited or deleted post-submission. Every status change is audited.
Multi-tenant by design
Row-level security scopes every query to the user's agency. No cross-tenant leakage.
Reconstruction-ready
Analysts assemble CEGR reconstructions from clusters of decision records with full traceability.
Provision a pilot environment.
Tenant-isolated, RLS-enforced, and ready to capture from the first decision. Activation unlocks at 50 records.