Reasoning Trace
The full timeline: policies applied, data consulted, and the agent's recommendation.
Capability · Human Review
High-stakes decisions route to a person with full reasoning traces, precedents, and approve/deny cash impact, before anyone clicks confirm.
01The review layer
The full timeline: policies applied, data consulted, and the agent's recommendation.
Similar past decisions surfaced, with their outcomes and operator notes.
Projected cash, exposure, and AR impact, before confirmation.
Routes by amount, category, and risk, with RBAC enforced.
Agents recommend. People decide on high-stakes actions. Always.
Every approval logged with evidence, simulation, and operator identity.
02The difference
An item gets flagged, and the approver opens the ERP, pulls reports, and asks colleagues on Slack. The call is made on incomplete information and memory, then recorded as "approved" with no trace of why.
The decision arrives with a full reasoning trace, matched precedents, and an approve-versus-deny cash simulation. One click, with an immutable audit trail, not a 20-minute research session.
Your operators become the judgment layer, with every tool they need to decide confidently.
Vyasa assembles the trace, the precedents, and the simulation. The approver brings the judgment, and the decision, its reasoning, and its cash impact are logged the moment it is made.
03In practice
A tier-2 customer's $12K order is on hold. The approver opens Vyasa and sees the whole case, and what each choice does.
04Rollout
Deploy the 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. We'll run a real exception through the reasoning trace, the precedents, and the approve/deny simulation, on your own data.