Building a Voice Agent: Fixing the Latency Problem
Inside the low-latency voice pipeline: streaming transcription, dynamic end-of-turn detection, high-throughput LLM inference, chunked audio, and filler utterances.
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 voice latency and versioned workflows, plus guides for teams evaluating the next generation of loan servicing systems.
Inside the low-latency voice pipeline: streaming transcription, dynamic end-of-turn detection, high-throughput LLM inference, chunked audio, and filler utterances.
An 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.
How the LMS went from standalone ledger to core-plus-CRM sprawl — and why the AI era demands one composable system that knows who should act, whether it is allowed, and how to prove it.
If your core ledger works but servicing still depends on spreadsheets, dialer rules, and manual reviews, LendEasy can add the governed operating layer without forcing a core replacement.