FOR IMMEDIATE RELEASE
CHICAGO — (March 30, 2026)
Lamina Launches AI-Powered Notice Management to Modernize Participation and Syndicated Lending Operations
Lamina, an API first platform for managing loan syndications and participations, today announced the launch of its AI-powered Notice Management solution designed to modernize how financial institutions process syndicated lending notices.
In today’s syndicated lending and loan participation market, notice management remains largely email-driven. When a lead institution communicates payment breakdowns, rate resets, rollover elections, funding requests, fee breakdowns, and other lifecycle events, those notices are typically sent via email to participating institutions. Then teams must manually review, interpret, and enter information into their own loan accounting systems.
As syndicated portfolios grow and rate environments remain dynamic, the volume and complexity of operational notices continue to increase. Yet, despite the scale and sophistication of modern lending institutions, this process remains highly manual.
“Notice workflows are one of the biggest operational challenges in syndicated lending,” said Corey Coscioni, Co-founder & Chief Growth Officer at Lamina. “Teams are managing critical lifecycle events through inboxes, shared folders, and spreadsheets – this manual process is inefficient and leads to inconsistency.”
Designed for How Notices Actually Work Today
Unlike approaches that require network-wide adoption of a shared system, Lamina works within existing communication channels today, while supporting structured integrations as institutions modernize their loan accounting environments. Institutions can forward or upload notices received via email or other traditional channels directly into Lamina’s platform. Using AI-powered extraction, Lamina identifies key data elements, categorizes the notice, and presents a structured view outlining the required actions for loan accounting teams. This allows structured notice data to flow from Lamina’s workflow directly into downstream platforms via APIs.
The result:
• A centralized workflow for all incoming notices
• Clear task assignment and queue management
• Structured data extracted from complex communications
• Straight through processing with minimal to zero human interaction
• Long-term storage and audit visibility
Importantly, institutions can centralize all of their incoming notices — even when counterparties are not integrated into a shared network.
Built for Complexity, Not Just Simple Notices
Syndicated lending notices are often far from simple. Many notices contain actions spanning multiple tranches with different rate options, varying day count conventions, complex payment calculations, fee breakdowns, pro rata share adjustments, and facility updates.
Lamina is designed to interpret these multi-layered communications by extracting key data elements from notices and attachments such as documents and spreadsheets and converting them into structured information. Once captured in Lamina, notices are managed within a centralized workspace that provides clear visibility into ownership and status – allowing teams to assign responsibility, monitor progress, and confirm that all notices received for a given date have been processed.
As AI models continue to learn and validate notice structures, Lamina’s long-term vision is to continue to reduce manual intervention — allowing operations teams to focus on higher-complexity exceptions rather than routine notice entry.
“We believe notice management should evolve from inbox management to intelligent workflow and straight-through-processing with little to no human intervention,” said Neil Hartman, CEO. “This launch represents the first step toward reducing interpretive friction across syndicated and participated deals.”
About Lamina
Lamina is a multi-lender platform purpose-built to manage loan syndications and participations. By leveraging API-first architecture, workflow automation, and AI-powered data extraction, Lamina helps financial institutions reduce operational friction and design syndicated lending execution for scale.