AI loan servicing agent
A loan servicing agent is software that does servicing work on a live loan for the lender: it reads the account, decides the next step within policy, takes a governed action such as a reminder, a payment-plan offer or an escalation, and records every step.
An AI loan servicing agent uses a language model to do the reading and the deciding; the posting still belongs to the lender's deterministic core. That split is what separates an agent from a chatbot. The chatbot answers, the agent acts, and what an agent may act on is set by the lender's policy rather than by the model. Lokta's AI loan servicing is a servicing agent built on those terms, and the servicing agent vs chatbot comparison sets out the distinction at length.
The agent's job after approval is the exception half of servicing: the bounce, the hardship request, the complaint, the stale KYC, the promise to pay that needs following up. For each one the agent gathers what a good servicing officer would gather (the schedule, the payment history, the conversation, the policy in force), proposes an action, and submits it to the core. The core checks the proposal against policy and the approvals it requires, posts it or rejects it, and logs the sequence. The officer sees the exceptions the policy reserved for a person.
Illustration: a borrower messages at 9pm to say the EMI will be four days late. The agent reads the account, sees a clean history, confirms that a four-day grace sits inside policy, replies with the revised presentation date, moves the mandate, and records the promise. Had the same borrower asked three months running, the policy would have routed the case to a person instead, and the log would show why.