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Borrower email, broker portal, branch scan and e-sign platform each name and format the same document differently.
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Index AI — AI-powered document classification and indexing that reads, routes and files high-volume financial documents, 50–70% faster and at up to 50% lower indexing cost.
Request a demoIndex AI uses advanced artificial intelligence and machine learning to transform manual, process-dependent indexing into structured, automated workflows.
The platform automatically identifies and classifies documents across six critical operational queues.
By eliminating manual “stare and compare” effort, Index AI delivers consistent processing while reducing manual workload across operations.
Document handling looks like a filing problem. It is a retrieval problem, and it only becomes visible when someone needs the file and it is not where it should be.
Borrower email, broker portal, branch scan and e-sign platform each name and format the same document differently.
A document called financials.pdf could be a tax return, a rent roll or a bank statement. Someone has to open it to know.
A document in the wrong queue is not a problem until an investor, an auditor or a customer asks for it.
Manual stare and compare work is fatigue work. The last hour of indexing is not the same as the first.
A rate move, a portfolio purchase or a campaign multiplies intake in a week. Hiring and training an indexer takes longer.
A short file is discovered when the trailing document report runs, not when the document failed to arrive.
Proven at enterprise scale.
Faster document processing.
Lower manual indexing cost.
Documents classified and routed across six operational queues without re-keying.
The classification engine learns from corrections, so accuracy improves on your own document mix.
Automatically classifies incoming documents for structured processing.
Classification is based on structure, content patterns and contextual signals inside the document, so a mislabelled or unlabelled file still lands in the right queue.
Every reclassification feeds the engine, so accuracy improves on your own document mix rather than on a generic training set.
Six operational queues across closing, post-closing and servicing, configured to how lending files actually move rather than to a generic document taxonomy.
Low-confidence classifications and exceptions route to trained operations staff who work them to your standards, inside your systems.
Index AI is built on advanced document understanding models and enterprise automation architecture that transform unstructured content into structured, workflow-ready information.
Analyzes structure, content patterns, and contextual signals to accurately identify document types.
Reads values in the context of the surrounding document, so a figure is understood by what it represents rather than by where it sits on the page.
Directs each document to the correct queue, owner and priority based on its type and content.
Corrections feed back into the model, so classification accuracy improves with volume.

Index AI drives intelligent document lifecycle management across lending operations, with targeted optimization for retail lending processes.
It strengthens governance over retail closing documentation through accurate classification, real-time tracking, and ready accessibility, minimizing risk and operational delays.
It enhances servicing agility through intelligent document retrieval across retail servicing workflows and lifecycle reviews, reducing risk and enabling faster decision-making.
Documents arrive from any channel, including scanned images, email attachments and portal uploads.
The engine identifies the document type from structure, content patterns and contextual signals.
Key data is read from the document and mapped to the loan, borrower or account record.
Each document is directed to the correct operational queue with the right owner and priority.
Low-confidence classifications route to a trained operator rather than being written straight through.
Documents are indexed into the repository with a traceable record of how each one was classified.
Reduce cost per document by eliminating manual sorting and indexing.
Ensure consistent routing across operational workflows.
Shift teams from repetitive processing to exception handling and decision-making.
Accelerate post-closing and servicing timelines with automated document flow.
Process demand spikes without increasing staffing.
Minimize risk caused by manual fatigue and inconsistent classification.
Enable structured access and review of CLM documentation.
Maintain organized, traceable records for audit and regulatory requirements.
Improve retrieval speed for servicing operations and customer requests.
See how Index AI automates classification, accelerates processing, and scales operations with precision.
Request a demo