ArthaShield builds a contextual intelligence layer across customers, transactions, products, risks, regulations and operations — helping financial teams understand what is happening and decide what to do next.
Build a graph, watch the intelligence appear — prototype.
ArthaShield connects the dots that existing systems keep separate.
Detect signals, anomalies, risks, opportunities and operational problems.
Connect context across data, relationships, regulations and financial events.
Recommend or initiate the next best action through AI agents and workflows.
A unified view of who the customer is across products, channels and history.
Early signals of exposure emerging from behaviour, context and relationships.
Patterns that connect accounts, devices and counterparties into suspected rings.
Repayment context and financial behaviour that inform lending decisions.
How rules and circulars map to specific customers, products and events.
Flows, failures and anomalies across payment rails and instruments.
Reconciliation and settlement chains, and where they break.
Recurring themes in grievances linked to products, teams and root causes.
Bottlenecks and exceptions across workflows and case handling.
How the graph becomes decisions — the path we build along.
Build relationships between entities.
Identify meaningful patterns and context.
Tell the user why something matters.
Suggest the next best action.
Trigger an agent/workflow with human approval.
“Recent transactions create a relationship pattern that differs from the customer's historical behaviour.”
Risk requiring review.
Review transaction history.
Today, financial teams work across CRM, core banking, payment systems, spreadsheets, regulatory documents and workflow tools.
ArthaShield aims to become the intelligence layer connecting these systems.
