Entity Graph
Customers, vendors, orders, POs, invoices, and contracts as connected nodes.
Capability · Context Graph
Every decision connected. Nothing left out of the loop.
Vyasa's context graph links customers, orders, invoices, policies, and precedents — so every agent decision has the full business picture.
Full trace
Zero silos
Graph-native audit
01What lives in the graph
Four things, held in one structure.
Policy Nodes
Business rules versioned and linked to the decisions they govern.
Precedent Storage
Learned patterns queryable at decision time — not buried in tickets.
Decision Lineage
Every agent action traced through the graph with timestamps and evidence.
02The difference
The same data, finally connected.
Without the graph
Customer history in CRM. Orders in ERP. Policies in SharePoint. Context in inboxes. Analysts open five systems to answer one credit question, and the connections between them live only in someone's head. Audits reconstruct the story from logs that were never designed for lineage.
With the graph
An order sits next to its customer, its invoices, its approvals, the active policy version, and every similar decision before it. The context is queryable at decision time, and every action is traceable back through the graph, by the agent, the operator, and the auditor alike.
No context left out of the loop. Every decision grounded in the full business graph.
The graph is the memory your best operators always carried, made queryable, versioned, and auditable, so every agent and every person decides from the same full picture.
03In practice
A credit hold, with the whole story attached.
An order trips a credit hold. Instead of a bare "over limit" flag, the graph assembles the full decision, the why, not just the what.
CreditFinanceSalesAudit
Order
O-1042 · Tier-2 Corp · $12.4K · on credit hold
Exposure
$89K of a $120K limit · payment score B+
Precedent
3 similar orders on this account, all approved
Policy
Net 30, tier-2 · current version, linked
Cash-flow
Approving projects +$386 inflow against $5,999 system AR
Recommend
Approve · full reasoning trace attached
04Rollout
From first workflow to full graph.
Weeks 1–4
Ingest ERP master data and email; build initial entity graph for one workflow.
Weeks 5–10
Connect precedents, policies, and decision lineage across O2C or P2P.
Quarter 2+
Full graph coverage with cross-workflow queries and audit exports.
See the full picture behind a decision.
30 minutes. We'll build a slice of your context graph on a real workflow and walk the decision trace with you.