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AI-Powered Document Classification & Indexing Solution

Document classification and indexing that reads, routes and files high-volume documents, 50 to 70% faster and at up to 50% lower indexing cost.

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OVERVIEW

Document Workflow Automation,
Without the Stare and Compare

Index AI turns manual, process-dependent indexing into structured, automated workflows. It identifies and classifies documents across six operational queues without human intervention, removing the manual effort that slows processing and introduces error.

THE CHALLENGE

Why Document Queues
Break Down

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.

Documents Arrive From
Everywhere

Borrower email, broker portal, branch scan and e-sign platform each name and format the same document differently.

The File Name Tells You
Nothing

A document called financials.pdf could be a tax return, a rent roll or a bank statement. Someone has to open it to know.

Misfiling Is Invisible Until
It Costs

A document in the wrong queue is not a problem until an investor, an auditor or a customer asks for it.

Accuracy Degrades
Through the Shift

Manual stare and compare work is fatigue work. The last hour of indexing is not the same as the first.

Volume Spikes,
Headcount Does Not

A rate move, a portfolio purchase or a campaign multiplies intake in a week. Hiring and training an indexer takes longer.

Post-Closing Exceptions
Surface Late

A short file is discovered when the trailing document report runs, not when the document failed to arrive.

IMPACT

Impact at a
Glance

  1. 50 to 70%

    Faster document processing.

  2. Up to 50%

    Lower manual indexing cost.

  3. Six Queues

    Documents classified and routed across six operational queues without re-keying.

  4. Continuous

    The classification engine learns from corrections, so accuracy improves on your own document mix.

CAPABILITIES

Operational Intelligence That
Powers Document Workflows

Intelligent
Ingestion

Automatically classifies incoming documents for structured processing.

Automated
Digitization

Enables the transformation of physical records into structured digital assets using a standardized digitization framework.

Scalable Processing
Capacity

Handles growing document volumes without increasing workforce requirements.

Automated Repository
Management

Sustains well-structured records repositories designed for compliance, control, and audit traceability.

WHY INDEX AI

What Makes Index AI Different

01

It Reads the Document,
Not the File Name

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.

02

It Learns From Your
Corrections

Every reclassification feeds the engine, so accuracy improves on your own document mix rather than on a generic training set.

03

Built for the Lending
Document Set

Six operational queues across closing, post-closing and servicing, configured to how lending files actually move rather than to a generic document taxonomy.

04

There Is a Team
Behind the Software

Low-confidence classifications and exceptions route to trained operations staff who work them to your standards, inside your systems.

From Documents to
Decision-Ready Intelligence

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.

Index AI audit log dashboard on a desktop monitor
WHAT IMPROVES

What Changes Across
Lending and Servicing

Index AI manages the document lifecycle from closing through servicing and lifecycle reviews, with accurate classification, real-time tracking and fast retrieval.

How It Works

  1. Ingest

    Documents arrive from any channel, including scanned images, email attachments and portal uploads.

  2. Classify

    The engine identifies the document type from structure, content patterns and contextual signals.

  3. Extract

    Key data is read from the document and mapped to the loan, borrower or account record.

  4. Route

    Each document is directed to the correct operational queue with the right owner and priority.

  5. Review

    Low-confidence classifications route to a trained operator rather than being written straight through.

  6. File

    Documents are indexed into the repository with a traceable record of how each one was classified.

Business Impact

Lower Operational
Cost

Reduce cost per document by eliminating manual sorting and indexing.

Structured Queue
Management

Ensure consistent routing across operational workflows.

Higher Workforce
Productivity

Shift teams from repetitive processing to exception handling and decision-making.

Faster Processing
Cycles

Accelerate post-closing and servicing timelines with automated document flow.

Scalable Volume
Handling

Process demand spikes without increasing staffing.

Operational
Accuracy

Minimize risk caused by manual fatigue and inconsistent classification.

Improved Contract
Lifecycle Processing

Enable structured access and review of CLM documentation.

Compliance
Readiness

Maintain organized, traceable records for audit and regulatory requirements.

Faster Servicing
Response

Improve retrieval speed for servicing operations and customer requests.

Ready to Transform Your
Document Workflows?

See Index AI classify and extract from your own document set.