Omnichannel borrower conversations
Taylor manages inbound and outbound collections and servicing across voice, SMS, email, and chat, with the same borrower context preserved across channels.
Salient is an AI-native loan servicing platform for consumer lenders, automating collections, servicing, audits, insurance claims, and disputes.
Salient is an AI-native loan servicing platform for consumer lenders. Its product family is organized around specific operational workflows, including servicing and collections, regulatory audit, insurance claims, disputes, and chargeoff handling.
The site positions Salient as a partner to technology-first lenders that want AI systems designed for compliance, auditability, and end-to-end workflow execution. Rather than chatbots, the products are described as agents that gather data, check rules, update systems, and produce documentation across the servicing lifecycle.
Taylor manages inbound and outbound collections and servicing across voice, SMS, email, and chat, with the same borrower context preserved across channels.
Taylor negotiates payments, captures promises to pay, sets up payment arrangements, and resolves routine account inquiries without human involvement on most interactions.
Marshall applies compliance rules at the LMS level and reviews every interaction and account event in real time, rather than relying on sampled call monitoring.
Marshall compiles continuously updated federal and state law into enforceable rules, then flags violations and routes them to remediation queues.
Alex handles chargeback and dispute lifecycles, including reason-code analysis and pre-arbitration response assembly, while integrating with card networks and core systems.
Flyn owns total-loss insurance claims, including settlement disputes, titling and lien release coordination, and GAP claim filing where eligible.
A lender can use Taylor to handle high-volume inbound and outbound collections work across borrower-preferred channels while preserving context when a conversation moves from SMS to voice or chat.
A servicing team can use Marshall to continuously audit account events such as payment posting, notices, repossession triggers, and account restarts against current federal and state rules.
An operations team can use Flyn to manage total-loss insurance claims, coordinate titling and lien release, and pursue GAP claims when the claim is eligible.
A card program or lending team can use Alex to assemble dispute responses and manage chargeback lifecycles with fewer manual touchpoints across network and core systems.
A recovery or post-chargeoff team can use Melanie to generate chargeoff documentation and manage downstream recovery workflows with more consistent records.
Salient positions Taylor, Marshall, Flyn, Alex, and Melanie as specialized agents for loan servicing and related back-office workflows. The source pages describe Taylor for omnichannel servicing and collections, Marshall for automated audit, Flyn for total-loss insurance claims, Alex for chargebacks and disputes, and Melanie for chargeoff workflows.
Taylor handles inbound and outbound servicing and collections across voice, SMS, email, and chat. The product page says it can negotiate payments, capture promises to pay, set up payment arrangements, and resolve routine account inquiries with cross-channel context.
Marshall is described as an automated audit engine that works at the LMS level. It reviews 100% of interactions and account events in real time against a live repository of state and federal law, then surfaces violations and routes them to remediation.
The pricing page returned a 404, so the site does not currently expose public pricing details in the provided sources. The available pages show a demo-led sales motion with a 'Book a demo' call to action.
The sources state that most deployments go from signed SOW to production in 60–90 days for Taylor and Marshall. The pages do not provide a detailed implementation checklist or named integrations beyond references to existing core, telephony, messaging, card network, and LMS systems.