LendEasy/DocsLMS + Servicing·v1
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Servicing Workspace overview

The servicing workspace is the operating layer for loan and merchant-advance servicing — coordinating cases, work, compliance, people, and the named AI workforce natively on the LendEasy Lending Core, with every contact and account change checked against live policy at the moment it happens.

The servicing workspace is where the operational work of servicing happens. It coordinates cases, tasks, and channels across the AI workforce and the people who supervise it — the voice agent, the copilot, the document agent, and the communications agent — applies current-fact policy at owning borrower-contact and governed-operation boundaries, and drives each matter to an outcome. It runs natively on the LendEasy Lending Core, a system of record the workspace reads and checks against but deliberately does not own — and, the same workflows can run on a core you already operate. Consumer installment, BNPL, and merchant-advance servicing run on the same model.

What the workspace holds

The workspace holds the operational state you are trying to reach, not just a log of what happened. The servicing workspace tracks the outcome you are trying to reach: it holds the operational state you want, submits approved requests to the system of record, verifies the core actually reached that state, and creates work when reality does not match. Divergence surfaces as drift and becomes prioritized work — never hidden behind a completed task.

Who owns what

How work moves

Automation comes in two forms

The workspace draws a hard line between two kinds of automation. Deterministic, policy-gated automation — reminders, notices, and routing — is templated and rule-bound, and each instance still passes a per-recipient compliance check. AI autonomy is different: an agent exercises judgment, bounded by its work packet and the autonomy ladder. You can run substantial deterministic automation well before AI autonomy rises.

Deterministic automation and AI autonomy must never be conflated. Templated, rule-bound work carries no AI judgment and stays compliance-checked per recipient; any work where an agent decides is governed as AI autonomy.
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