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Glossary · Lokta concept vocabulary

Lending ontology

A lending ontology is one canonical model of the loan (borrower, application, repayment, and risk, plus the relationships between them) that the whole lending stack reads and writes through, instead of a separate copy of the loan in every system.

Where most stacks keep the loan as five drifting copies (LOS, LMS, core/GL, collections, warehouse) that have to be reconciled, a lending ontology resolves them into a single canonical loan object on a deterministic core. Governed AI and people act on the same truth, every change is logged on one append-only trail, and the book can sharpen itself the more it lends, because every outcome writes back to the same model.

See the lending ontology →

Related terms

  • Agent-native lending (Agent-native lending platform)An agent-native lending platform is a lending core built to be operated by agents (software that reads the loan, decides, and acts) rather than by people clicking through screens.
  • Deterministic coreA deterministic core is the layer of a lending platform whose outputs are fully reproducible from inputs and policy: no probabilistic models, no LLM calls, no hidden randomness..
  • Workflow AI vs agentic AIWorkflow AI assists a human inside an existing process; agentic AI runs the multistep process end-to-end.
  • Audit-by-designAudit-by-design is the principle that every decision a lending platform makes (human, workflow AI, or agent) produces a tamper-evident record that a regulator or internal auditor can replay..

All terms in the Lokta lending glossary →

Founder-led adoption

Adopt the agentic loan servicing platform.

Lokta is built for enterprise deployment, VPC or single-tenant cloud, with an audit trail in every state change. We work with a select group of institutions through a founder-led model: deep adoption, deliberate scope, a delivery window the team commits to in writing.

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