The Intelligence Layer for Financial Services

Connect the dots behind every financial decision.

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.

Banks RRBs UCBs NBFCs Fintechs

Build a graph, watch the intelligence appear — prototype.

ArthaShield Knowledge Graph concept

ArthaShield connects the dots that existing systems keep separate. Hover or tap a node.

CHALLENGE → INTELLIGENCE → ACTION

Three questions. One layer that answers them.

01 — Challenge

What needs attention?

Detect signals, anomalies, risks, opportunities and operational problems.

02 — Intelligence

What does it mean?

Connect context across data, relationships, regulations and financial events.

03 — Action

What should happen next?

Recommend or initiate the next best action through AI agents and workflows.

Intelligence areas — roadmap

What could ArthaShield understand?

Customer

A unified view of who the customer is across products, channels and history.

Risk

Early signals of exposure emerging from behaviour, context and relationships.

Fraud

Patterns that connect accounts, devices and counterparties into suspected rings.

Credit

Repayment context and financial behaviour that inform lending decisions.

Regulatory

How rules and circulars map to specific customers, products and events.

Payments

Flows, failures and anomalies across payment rails and instruments.

Settlement

Reconciliation and settlement chains, and where they break.

Complaints

Recurring themes in grievances linked to products, teams and root causes.

Operations

Bottlenecks and exceptions across workflows and case handling.

From knowledge graph to intelligence.

How the graph becomes decisions — the path we build along.

  1. 1

    Connect

    Build relationships between entities.

  2. 2

    Understand

    Identify meaningful patterns and context.

  3. 3

    Explain

    Tell the user why something matters.

  4. 4

    Recommend

    Suggest the next best action.

  5. 5

    Act

    Trigger an agent or workflow with human approval.

One insight, end to end.

Customer Transaction Merchant Risk Signal
ArthaShield Insight

“Recent transactions create a relationship pattern that differs from the customer's historical behaviour.”

Why it matters

Risk requiring review.

Suggested next step

Review transaction history.

Where this can go.

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.

Systems of Record
CRM Core Banking Payment Systems Data Platforms
The Intelligence Layer
ArthaShield
Knowledge Graph Intelligence AI Agents
Systems of Action
Workflows Case Management Operations Human Teams
Illustrative direction

ArthaShield Intelligence Roadmap.

  1. Phase 1
    Regulatory + Customer Intelligence
  2. Phase 2
    Risk + Fraud Intelligence
  3. Phase 3
    Credit + Financial Decision Intelligence
  4. Phase 4
    Payments + Settlement Intelligence
  5. Phase 5
    Agentic Financial Operations