AI-powered servicing software

The operating system for modern loan servicing

LendEasy unifies AI agents with a compliance-native CRM and LMS to power automated, auditable loan servicing.

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Execution layer

AI servicing agents

Engagement layer

Product

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Each component in the stack can be adopted independently or used together as an operating system for automated, auditable loan servicing.

AI servicing agents

A library of agents for first-party collections, hardship management, payment reminders, borrower engagement, and custom workflows.

API docsDemo

Agent control plane

Configure, extend, approve, observe, and govern AI agents in real-time across servicing workflows.

API docsDemo

Loan management system

System of record for configurable credit products, payments, accounting, reporting, servicing events, and audit-ready loan operations.

API docsDemo

Servicing CRM

Case management, borrower communications, task queues, consent controls, templates, and omnichannel interaction history.

API docsDemo

Customer portal

Borrower-facing self-service for payments, statements, plan selection, account updates, and servicing requests.

API docsDemo

Compliance harness

Federal, state, and local rule monitoring, borrower status checks, outreach eligibility, approvals, and audit controls.

API docsDemo
Agent tryout

Preview an AI servicing agent workflow

What the demo shows

How an agent qualifies an account before outreach

How consent, borrower status, and policy checks shape the workflow

How approved hardship, payment, or PTP options are presented

How outcomes sync back to the CRM and LMS

How the control plane governs agent behavior

Collections workflow demo

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First-party collections flow

A guided collections workflow that checks policy, validates identity, and records each servicing action.

1

Account enters an approved collections segment

2

Agent checks consent, borrower status, timing, and policy

3

Borrower identity is validated before loan details are discussed

4

Approved payment, hardship, or promise-to-pay options are offered

5

Resolution and follow-up tasks sync back to the CRM and LMS

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Team

Built by fintech infrastructure operators

LendEasy combines deep lending-platform experience with production-grade systems engineering to bring governed AI automation into loan servicing.

VB

Vishwas Babu

Product

LinkedIn

Vishwas has spent his career building the backbone of modern lending and banking platforms. As the co-founder of Finflux, he helped create one of the most widely used loan origination and servicing platforms globally. He later served as Chief Product Officer at Mbanq and most recently as Chief Platform Officer at LendAPI, where he led the development of a U.S.-focused loan servicing platform. An open-source leader in the Apache Fineract and Mifos Initiative ecosystems, his work has powered modern lending and banking platforms used by institutions and fintechs across dozens of countries.

US

Ullas Sankhla

Engineering

LinkedIn

Ullas is a distributed systems architect with over 14 years at Amazon Web Services, where he built high-scale data platforms for AWS Commerce and Billing, handling millions of transactions per second and petabyte-scale data. At LendEasy, he leads engineering, building AI agents and the control plane for automated, compliance-native loan servicing.