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Platform architecture

Modern servicing on the lending core you choose

Connect LendEasy to your existing system of record or use our lending core. People and AI work through the same queues, policy checks, approval controls, and searchable audit trail.

The architecture

How the platform fits together

See how servicing teams, AI agents, policy checks, the servicing control plane, and the lending core connect.

A shared action path

Five checks from request to result

Payments, messages, and calls follow the same controlled path whether a person, AI agent, or system event starts them.

  1. 1

    Action context

    Every action starts with a clear reason: the case it serves, an approved exception, or a system event.

  2. 2

    Policy check

    Current rules evaluate the action before it runs. If required information is missing, the action is held.

  3. 3

    Human approval

    AI-proposed actions above their autonomy level route to a human. Actions that require separation of duties route to an independent human approver.

  4. 4

    Execute

    The approved action runs through the same controlled interface, whether it reaches LendEasy's core or yours.

  5. 5

    Evidence record

    The decision, rules, approvals, and outcome are captured in one tamper-evident record.

The same five steps apply whether the actor is a human, an AI agent, or a system trigger.

Composability

Keep your core or use ours

A narrow, documented integration defines what LendEasy reads, what it can send back, and how outcomes are confirmed. You can keep your core today and migrate later if the timing is right.

Current account facts

Balances, due dates, statuses, and borrower protections arrive with a clear as-of time, so each decision knows how current its information is.

Approved commands

Approved actions return to the core as clearly defined commands. Safe retries prevent duplicate execution, and failures remain visible.

Confirmed outcomes

Core events confirm what happened, keeping the servicing view aligned with the system of record instead of waiting for month-end reconciliation.

What stays consistent: policy checks, ledger-backed figures, and audit records live in the servicing layer, so they work with either core. You can add AI workflows without a core migration.

AI agents

AI agents work inside your existing controls

Each AI agent has its own identity, scoped access, task limits, and approval rules. It works in the same queues and audit trail as your team.

AI inside the servicing operation

AI agents — including voice agents working collections and hardship calls — pull from shared queues, use scoped permissions, and write to the same audit trail as people. They cannot bypass policy checks or reach the lending core directly.

Ledger-backed figures

Every borrower-facing figure comes straight from the ledger. The model writes the words; the ledger supplies the numbers.

Graduated autonomy

Assist, require human approval, then autonomous within policy — set per task type, with a human reviewer for anything above the agent's autonomy level.

Operational controls

Instant kill switch with scoped suppression (global, queue, case type, or channel), pinned model and prompt versions per decision, PII scrubbed before any model call.

Security posture

Closed by default, open to inspection

Deny-by-default API surface

Every endpoint requires an explicit permission grant — for humans, integrations, and AI agents alike. Nothing is reachable because a default was left open, and PII is removed or tokenized according to configured data policies before an external model call.

Open, auditable foundation

The lending core is built on open, bank-grade infrastructure that institutions worldwide have operated for years — built by the same engineers who lead it. Your auditors can read the foundation, with documented APIs and a standard database that provide a practical exit path.

FAQ

Questions architects ask us

The integration is deliberately narrow. LendEasy reads the account facts it needs and sends clearly defined commands back, without changing how your core posts transactions. Most connections use APIs or data extracts you already expose.

Walk through your architecture with us

Bring an integration question. We will trace one real servicing action from request to outcome on our core or yours.