Exception flagged
System or analyst flags an item — context arrives via email attachment.
High-stakes decisions route to humans with full reasoning traces, precedents, and approve/deny cash impact — before anyone clicks confirm.
System or analyst flags an item — context arrives via email attachment.
Approver opens ERP, pulls reports, asks colleagues on Slack.
Approve or deny based on incomplete information and memory.
Decision recorded as 'approved' with no trace of why.
Full timeline: policies applied, data consulted, agent recommendations.
Similar past decisions surfaced with outcomes and operator notes.
Projected cash, exposure, and AR impact before confirmation.
Routes by amount, category, and risk — RBAC enforced.
Agents recommend; humans decide on high-stakes actions. Always.
Every approval logged with evidence, simulation, and operator identity.
Approve projects +$386 inflow · $5,999 system AR
Approver sees approve vs deny cash impact before confirming.
A tier-2 customer's $12K order is on hold. The approver opens Vyasa and sees: 3 similar orders approved on Net 30, exposure at 74% of limit, and simulation showing approve adds +$386 inflow vs deny leaves AR unchanged. One click with full audit trail — not a 20-minute research session.
“Your operators become the judgment layer — with every tool they need to decide confidently.”
Deploy approval matrix and reasoning trace on one exception type.
Enable simulation and precedent matching across credit and P2P.
Full human review layer with cross-workflow audit exports.
30 minutes. No pitch. No commitment. We'll model your specific situation.