Marlabs Launched AgilityAI Lending Intelligence Suite
The new suite integrates AI tools into existing banking systems to accelerate loan processing and enhance compliance reporting.
Updated on Oct. 13, 2026 in Artificial Intelligence
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New York-based Marlabs has launched its AgilityAI Lending Intelligence Suite to provide lenders with AI integration without requiring a full overhaul of core banking systems. The suite functions as an overlay on existing platforms to improve operational speed and regulatory compliance.
Why it matters
Lenders often face significant costs and operational disruptions when replacing legacy banking systems. This suite allows financial institutions to adopt advanced AI capabilities while maintaining their current core infrastructure.
The Docu-Synth accelerator increases document review speed by up to 70 percent. The suite integrates with systems like FIS, Fiserv, Jack Henry, Encompass, and Salesforce using the DataBridge connection layer and secure APIs.
The players
Marlabs
Headquartered in New York, the firm is a technology company with over 30 years of experience and a global workforce of more than 2,200 employees.
The details
The system features four primary AI accelerators—Qual-IQ, Docu-Synth, Risk-Right, and Lend-Liaison—which operate above a lender's system of record. It also provides a shared AI guardrail layer designed to maintain audit trails and ensure compliance with federal mandates like the Home Mortgage Disclosure Act and the Fair Housing Act.
Timeline
October 13, 2026: Marlabs launched the AgilityAI Lending Intelligence Suite.
The Tech Race
This integration follows the growing industry trend of layering AI atop legacy core banking systems to meet the complex reporting requirements of the Home Mortgage Disclosure Act. It positions the company against enterprise competitors by prioritizing seamless compatibility over the total replacement of established infrastructure.
Lenders utilizing this suite may see reduced wait times for loan document reviews and more consistent compliance checks. This could streamline the application process for consumers, potentially leading to faster lending decisions.
The takeaway
The move reflects a shift toward modular AI deployment in highly regulated sectors where total system migration is impractical. Institutions looking to implement similar tools should prioritize software that supports established audit trails to ensure compliance with existing federal regulations.
Further reading
For broader trends in the financial sector, visit our Artificial Intelligence section.
More information
To see the technology in action or to schedule an evaluation, visit the demo booking portal.
Source note: This article includes information reported by The Manila times.
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