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Capability

Approve with simulation, not guesswork.

High-stakes decisions route to humans with full reasoning traces, precedents, and approve/deny cash impact — before anyone clicks confirm.

PrecedentsSimulationAudit trail

Traditional Flow

01

Exception flagged

System or analyst flags an item — context arrives via email attachment.

02

Manual research

Approver opens ERP, pulls reports, asks colleagues on Slack.

03

Gut-feel decision

Approve or deny based on incomplete information and memory.

04

Lost rationale

Decision recorded as 'approved' with no trace of why.

Where it breaks

  1. Approvers lack simulation — cash impact is unknown until after the fact.
  2. Precedents aren't surfaced; each decision starts from scratch.
  3. Approval chains via email lose context at every forward.
  4. Audit teams can't reconstruct the reasoning behind exceptions.

The solution

01

Reasoning Trace

Full timeline: policies applied, data consulted, agent recommendations.

02

Precedent Match

Similar past decisions surfaced with outcomes and operator notes.

03

Approve/Deny Simulation

Projected cash, exposure, and AR impact before confirmation.

04

Approval Matrix

Routes by amount, category, and risk — RBAC enforced.

05

Human-in-the-Loop

Agents recommend; humans decide on high-stakes actions. Always.

06

Immutable Audit Log

Every approval logged with evidence, simulation, and operator identity.

Live product view

ORDERSO-1042 (hold)
Customer
Tier-2 Corp
Amount
$12.4K
Status
Credit hold
EXPOSURE OK
CREDIT CHECKAuto-evaluated
Exposure
$89K / $120K
Payment score
B+
Precedents
3 similar approved
PRECEDENT MATCH
CASHFLOW SIMSimulated
Approve
+$386 inflow
Deny
Unchanged exposure
System AR
$5,999
CASH THRESHOLD
HUMAN REVIEWPending
Recommendation
Approve
Reasoning
Full trace attached
Policy
Net 30 tier-2
READY

Approve projects +$386 inflow · $5,999 system AR

Approver sees approve vs deny cash impact before confirming.

Live scenario — Credit release with simulation

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.

CreditFinanceSales
Your operators become the judgment layer — with every tool they need to decide confidently.

Rollout

Weeks 1–4

Deploy approval matrix and reasoning trace on one exception type.

Weeks 5–10

Enable simulation and precedent matching across credit and P2P.

Quarter 2+

Full human review layer with cross-workflow audit exports.

See what 70% looks like on your numbers.

30 minutes. No pitch. No commitment. We'll model your specific situation.

No pitch. No commitment. Just a clear view of what's possible.

Or email the founder: sameer@vyasa-ai.com