LendEasy Blog
Engineering deep dives, buyer guides, and lessons from building an AI-native operating layer for loan servicing — written by the team shipping it.
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Engineering notes on governed voice agents, low-latency architecture, and versioned workflows, plus guides for teams evaluating the next generation of loan servicing systems.
How we version workflow definitions and configuration with drafts, atomic publishes, immutable files, version pointers, and testable draft sets.
Ullas SankhlaRead the articleInside the low-latency voice pipeline: streaming transcription, dynamic end-of-turn detection, high-throughput LLM inference, chunked audio, and filler utterances.
Ullas SankhlaRead the articleAn honest ranking of the five LMS platforms we most often see in U.S. lender stacks — scored once for ledger depth, once for operational completeness.
Vishwas BabuRead the articleHow the LMS went from a standalone ledger to a core surrounded by separate tools — and what changes when people and AI share servicing work, policy checks, and an audit trail.
Vishwas BabuRead the articleLendEasy connects to your existing system of record and adds case workflows, policy checks, human approval, and AI assistance without requiring a core migration.