AuditWhy
A 7-agent financial and operational discrepancy investigator that answers why numbers across SEC filings, taxonomies, and billing telemetry do not match.
AuditWhy — Launch Film & Video Portfolio
Standalone commercial edits, SaaS launch films, motion design, and product walkthroughs.
AuditWhy — ExplainWhy Launch Film
Visual breakdown of how a 7-agent system catches a $62.75B SEC filing discrepancy.
High-tempo motion design, kinetic typography, sound design, and UI reveals.
Flagship product trailers cut to turn complex architectures into a clear story.
Paced end-to-end product demos showing real workflows from start to finish.
Financial and operational data lives in disconnected systems where a naive SQL join silently drops billions in revenue. I built AuditWhy so seven specialised agents formulate falsifiable hypotheses, query every source through Zetaris, challenge each other’s evidence, and strike out any claim without supporting rows.
- 01Seven collaborating agents: ScoutGuardAgent, PlannerAgent, DataRetrieverAgent, EvidenceEvaluatorAgent, MarkovianAnalystAgent, ExplanationWriterAgent, and FinalReviewerAgent
- 02Two active critique loops: the Evaluator rejects incomplete joins and forces hierarchy-expanding retrieval; the Reviewer blocks any executive verdict missing correlation-vs-causation bounds
- 03Verdicts and confidence intervals are computed deterministically in code from retrieved rows rather than hallucinated by a model
- 04H-MEM cross-run memory mines reusable reconciliation rules so subsequent investigations skip redundant stages
Preventing plausible-sounding stories that the data never tested. Every claim has to pass provenance and statistical gates against the evidence ledger or get struck out automatically.