Allocore adds mcp-based AI agents to its lending platform. * Allocore has added a Model Context Protocol layer to its Allocore One lending platform * MCP is linking scattered borrower data so an AI assistant can pull information, coordinate actions and recommend next steps in real time * CEO Bill Webner said the technology turns fragmented lending systems into a connected intelligence network Allocore has built a Model Context Protocol, or MCP, into Allocore One, its end-to-end lending platform, enabling AI agents to work throughout the systems involved in lending and servicing via plain-language requests. The Arlington, Virginia, company announced the capability on Monday, with plans to expand it to more workflows and integrations over time. What problem does the MCP layer address? Borrower information is scattered across servicing systems, CRM and payment platforms, compliance databases, disaster-relief programs, and outside data sources. Allocore's framework turns those systems into services that AI assistants can securely reach, so an agent can find available functions, pull information, coordinate actions and support decisions rather than requiring staff or borrowers to move among separate applications. The result, the company said, is a connected intelligence layer that can assemble a single view of a borrower, surface relevant programs and recommend next steps in real time. The capability spans loan origination, servicing, billing, statements, account management and portfolio administration. "MCP technology allows us to transform fragmented lending systems into a connected intelligence network," said Allocore CEO Bill Webner, a two-time Wash100 Award winner. "Instead of forcing users to manually assemble information across multiple applications, AI can securely access relevant systems, synthesize insights, and help teams take action across the full loan lifecycle." How does this fit Allocore's federal lending business? The launch extends Allocore's product line built around federal financial assistance programs. Its Unified Loans Platform, Unified Grants Platform and Unified Fraud Platform earned Federal Risk and Authorization Management Program High authorization in May 2025, the program's most stringent security tier. The authorization follows the addition of AI to its Unified Fraud Platform in February 2025 for identity verification, risk scoring and automated document review aimed at securing federal lending and grants.

Allocore launches mcp-based AI tools to simplify lending and servicing. Secure AI assistants turn plain-language requests into faster lending and servicing actions. Allocore today announced the launch of a comprehensive Model Context Protocol (MCP) infrastructure, bringing AI-native intelligence and orchestration capabilities to its end-to-end lending platform, Allocore One. The new capabilities enable lending organizations to move beyond traditional system workflows and leverage AI agents that can securely access, reason across, and act on information throughout the lending lifecycle. As lending institutions face increasing operational complexity, critical borrower information often remains distributed across servicing systems, CRM platforms, payment systems, compliance databases, disaster-relief programs, and third-party data sources. Allocore's MCP framework transforms these systems into secure, AI-accessible services, enabling AI assistants to discover available capabilities, retrieve information, coordinate actions, and support decision-making through natural language interactions. By standardizing access to data and business functions, MCPs create a connected intelligence layer across lending operations. Rather than requiring employees and borrowers to navigate multiple systems, AI can dynamically orchestrate workflows, assemble a unified borrower view, and surface relevant insights, programs, and next-best actions in real time. "Allocore is building the future of AI-enabled lending infrastructure," said Bill Webner, Chief Executive Officer at Allocore. "MCP technology allows us to transform fragmented lending systems into a connected intelligence network. Instead of forcing users to manually assemble information across multiple applications, AI can securely access relevant systems, synthesize insights, and help teams take action across the full loan lifecycle." Jun 16, 2026 Prev Next 1 of 43,106 The MCP framework extends across Allocore's platform capabilities, including loan origination, servicing, billing, statements, borrower account management, portfolio administration, and operational workflows. AI assistants can leverage these services to guide users through applications, identify relevant relief programs and lending opportunities, pre-populate information using existing system data, and help track activities across the servicing process. Key capabilities include: - Natural language access to lending, servicing, billing, and borrower account information - AI-driven discovery of relevant programs, relief options, and lending opportunities - Cross-system intelligence that combines information from multiple sources to generate recommendations - Conversational workflows that guide users through applications and servicing activities - Unified borrower insights that support proactive engagement and faster decision-making The platform enables organizations to evolve from system-centric operators into AI-orchestrated service providers. By continuously evaluating borrower circumstances and eligibility factors, AI can proactively identify opportunities for assistance, improve customer outcomes, and reduce operational friction. "AI delivers the greatest value when it is deeply integrated into the systems where work happens," added Webner. "Our MCP infrastructure creates the foundation for intelligent lending operations that are more responsive, efficient, and customer centric." The MCP infrastructure is available now as part of the Allocore One platform and will continue expanding across additional workflows, integrations, and AI-powered use cases.