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Glossary · Lokta concept vocabulary

Agentic loan servicing

Agentic loan servicing is the operating model where AI agents run multistep servicing workflows end to end (collections triage, dunning sequences, hardship handling, complaint resolution, KYC re-verification) under explicit policy guardrails, with every action logged for audit.

Agents pick up events (a missed EMI, a complaint ticket), execute the workflow within the lender's policy, escalate genuine exceptions to humans, and close the loop. It is distinct from a chatbot layer (which only answers questions) and from RPA (which only repeats fixed scripts). Done correctly, it sits on a deterministic core and produces an audit-by-design record.

Lokta's servicing agent runs agentic loan servicing →

Related terms

  • Lending ontologyA 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..
  • 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.

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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