BrowsEZ
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SolutionsEnterprises & SMEsBanks & financial services

From AI pilots to an AI-native bank.

One layer to govern every AI initiative in the bank, and to build agents for staff and customers on every channel. Any model. Your cloud.

Get the bank playbookBook a demo
Staff & customer surfaces
Branch & RMContact centreMobile bankingWhatsAppTeamsOps workbench
BrowsEZHorizontal AI harness
ToolsSkillsCorpusAgentsRouterGovernance
Your systems, connected once
Core bankingPayment switchLOS · LMSCRMAML · FRMDocuments

AI in banks is bought one use case at a time.

Each department runs its own pilot, with its own vendor, model and controls. Each works in a demo. Together they become a risk.

Account opening bot
  • Own vendor
  • Own model
  • Own data copy
  • Own guardrails
  • Own audit log
Lending document AI
  • Own vendor
  • Own model
  • Own data copy
  • Own guardrails
  • Own audit log
Grievance chatbot
  • Own vendor
  • Own model
  • Own data copy
  • Own guardrails
  • Own audit log
AML copilot
  • Own vendor
  • Own model
  • Own data copy
  • Own guardrails
  • Own audit log
Collections voicebot
  • Own vendor
  • Own model
  • Own data copy
  • Own guardrails
  • Own audit log
Knowledge assistant
  • Own vendor
  • Own model
  • Own data copy
  • Own guardrails
  • Own audit log
Core bankingCRMPaymentsDocumentsThe same systems, integrated six times

Duplicated integrations

Every vendor wires into the same systems again.

No shared context

The grievance bot cannot see the loan file.

Inconsistent controls

Different guardrails, approvals and logs per vendor.

No single inventory

No one can list every model and agent in use.

Banks need one place to govern AI.

AI is arriving in lending, payments, service and compliance at once. Governing each project separately does not scale. Control has to sit in one layer.

What the board and regulator will ask

What AI is running, and where?
What can each agent see and do?
Who approved that action?
Can we reconstruct any decision?
Which models are approved, and for what?

RBI's FREE-AI report (Aug 2025) points the same way: board-approved AI policies, AI inventories, audits and incident reporting.

Business use cases
Account openingProperty due diligenceLead nurturingGrievance redressalSTR investigationPersonal finance
Reusable AI capabilities
Knowledge retrievalDocument intelligenceConversational AIContent & summariesTransaction intelligenceSpeech & voice
Enterprise AI platform
Model gatewayTool libraryAgent registryOrchestrationGuardrailsEvaluation
Governance · security · observability · cost, across every layer

BrowsEZ is the ESB for your bank's AI.

An enterprise service bus gave banks one layer for integration, routing and security. AI needs the same. BrowsEZ is that layer.

Without a harness16 point-to-point links
Onboarding botGrievance botAML copilotRM assistant
Core bankingCRMPaymentsDocuments
With BrowsEZ as the harness8 governed connections
Onboarding botGrievance botAML copilotRM assistant
BrowsEZTools · Router
Governance · Audit
Core bankingCRMPaymentsDocuments

What an ESB did for integration, BrowsEZ does for AI.

ESB: AdaptersTools

Each system wrapped once

ESB: OrchestrationSkills

SOPs as repeatable workflows

ESB: RoutingRouter

Each task to an approved model

ESB: Security & policyGovernance

Permissions, approvals, audit

ESB: MonitoringPulse

Every run scheduled and tracked

Unlike an ESB, it also understands the request, plans the steps and acts, within your controls.

Control the AI you have. Build the AI you need.

Three jobs. One harness.

Govern

Control the AI you already have

Vendor bots, in-house copilots and partner agents reach models and systems through BrowsEZ. One set of rules for all.

  • One register of every AI in use
  • Approval on every material action
  • Every action on record for audit
For risk, compliance and IT
Build

Agents for your teams

Agents that work across core banking, CRM, payments and documents, and finish the work.

  • Connect each system once
  • Turn SOPs into repeatable Skills
  • Answers grounded in your policies
For operations, compliance and lending
Launch

Agents for your customers

Build once. Deploy in the app, internet banking, WhatsApp and the contact centre, under the same controls.

  • The same answer on every surface
  • Limits and consent built in
  • Every conversation on record
For retail, digital and service heads

Agents for every desk, inside the bank and out.

For staff and for customers, on one harness.

InternalFor employees
Payment reconciliationOperationsStaff work exceptions only

Matches switch, NPCI and core banking files every cycle, flags breaks

Compliance & circularsComplianceDeadlines tracked, not chased

Maps each RBI circular to owners and deadlines, answers with citations

Credit & due diligenceLendingFaster sanctions

Reads title, valuation and financials, drafts the appraisal note

AML & STR investigationFinancial crimeOfficers decide faster

Triages alerts, traces transaction chains, drafts the STR for an officer

Branch & RM copilotBranchEvery officer informed

Answers product and policy questions with the customer view in one place

Customer-facingFor customers
Account openingRetailStraight-through where safe

Reads documents, runs KYC, opens the account, sends exceptions to staff

Grievances & disputesServiceResolved, not just ticketed

Traces failed transfers across systems, resolves within RBI timelines

Everyday serviceMobile & WhatsAppRoutine work self-served

Statements, card controls, cheque books and requests, end to end

Loan journeysLendingFewer drop-offs

Checks eligibility, collects documents, keeps applicants updated

CollectionsRecoveryReach at scale, in policy

Sends reminders and payment links, offers options within approved policy

Same Tools, same policies, same audit trail. Each new agent starts from what is already connected.

Agents propose. Your controls decide.

Banking runs on maker-checker. BrowsEZ applies it to AI: policy sits outside the model, and material actions wait for an approver.

01Request

A customer or officer asks

02Agent plans

Proposes the steps to take

03Policy check

Permit, deny or escalate

04Checker approves

A human signs off above threshold

05Tool executes

Deterministic, permissioned action

06Audit record

Who asked, what ran, who approved

MakerCheckerRegulator's record
  • Identity for every agent and user
  • Agents reach only the Tools they are granted
  • Policy enforced outside the model
  • Approval thresholds set by risk, by desk and amount
  • Answers cited from your policies and circulars
  • Only approved models, routed by policy
  • Every run monitored
  • End-to-end audit trail

Your cloud. Your models. Your data.

Runs inside the environment the bank approves. No dependency on one model or cloud.

Any approved model

Commercial, open-source or bank-hosted. Switch without rebuilding.

Not tied to one cloud

Runs in the bank's own cloud account, on infrastructure it approves.

Your systems stay in place

Core banking, AML, FRM and case systems keep running. BrowsEZ connects to them.

Open standards

Tools publish over MCP, so other approved agents can use them.

Get the AI-for-banks playbook.

A short briefing for CXOs, CROs and CIOs: from scattered pilots to one governed foundation.

  • Why use-case-by-use-case AI does not scale in a bank
  • The ESB model for AI, and what it changes
  • Govern, build and launch: one harness, three jobs
  • Internal and customer-facing use cases by desk
  • Maker-checker for AI, and a phased way to start

Get the AI-for-banks playbook

A short briefing for bank leadership.

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Your playbook is ready.

Download it below.

Start with one desk. Scale across the bank.

Phase 1

Pick one desk

A workflow that costs hours every day: reconciliation, grievances or policy queries.

e.g.UPI reconciliation
Phase 2

Connect what it needs

Wrap its systems as Tools, load policies into Corpus, agree approvals with risk.

e.g.CBS, switch and NPCI files
Phase 3

Go live with maker-checker

The agent works the cases. Officers approve material actions. Audited from day one.

e.g.Officers approve adjustments
Phase 4

Reuse for the next desk

The next agent starts from Tools already connected. Existing AI joins the same governance.

e.g.Disputes and grievances next

Nothing gets re-platformed.

Core banking, channels and vendors stay where they are. BrowsEZ adds the layer above.

Bring one desk. We will show you the agent.

Pick a workflow your teams spend hours on. See it run with maker-checker and a full audit trail.

Prefer to build? Start free and publish your first Tool.Email us at hello@browsez.ai

Book a demo

30 minutes. One real workflow.

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