LlamitAI
LlamitAI provides AI copilots that automate document-heavy workflows for financial institutions, taking one specific job off a single desk—such as fund freezing request handling or claim evidence review. The copilots read documents with page-level traceability, write data directly to core systems, and reduce cycle times from days to same-day processing. Field accuracy exceeds 95% with source references for every data point.
- Financial Technology
- AI Agents
- Artificial Intelligence
- Software Only
- Data & Analytics
Funding
Founders
Founder details are not available yet.
Product
Problem
Financial institutions rely on manual, time-intensive processes for operations, underwriting, and credit analysis, which slows decision-making and increases operational risk. Analysts and loan officers often juggle multiple systems and documents, leading to inefficiencies and inconsistent credit assessments.
Solution
LlamitAI delivers AI copilots tailored to the daily workflows of operations analysts, underwriting analysts, and loan officers. Each copilot takes one specific job off a single desk, such as fund freezing request handling, claim evidence review, or field credit file assembly. The copilot picks up work from any channel, reads it with page-level traceability, and lets the institution's own rules decide what clears automatically. Data is written to core systems with source references, and analysts only open files the rules could not clear, reducing cycle times from days to same-day processing.
Target Audience
Primary customers are financial institutions and other document-heavy industries, specifically operations analysts, underwriting analysts, and loan officers at banks, credit unions, insurance companies, and lending firms.
Features
- AI-powered document analysis and data extraction with field accuracy exceeding 95% and source traceability to specific pages
- Role-specific copilots for operations analysts, underwriting analysts, and loan officers, each handling one dedicated workflow
- Automatic document classification page by page, with instant flagging of missing or incomplete information
- Data written directly to core banking systems with source references and a complete audit trail per field
- Rules-based exception handling where analysts only review files the automation cannot clear
- Integration with existing workflows across channels, including WhatsApp, photos, PDFs, and interview recordings