AI Document Analysis Agent

AI Agent for Enterprise Document Analysis

Point it at a contract, report, or scanned PDF and get a grounded summary, the clauses that matter, and answers to your questions — with OCR and private RAG, on infrastructure you control.

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−80%Time reading long documents
OCRScanned & image PDFs supported
100%On-prem, documents never leave
CitedAnswers grounded in the source
Reads
PDFWordSpreadsheetsScanned imagesConfluenceVector stores
The Document Problem

Critical answers are buried in documents nobody has time to read

Contracts, RFPs, policies, board packs, and research reports pile up faster than anyone can read them. Generic chatbots can summarize text you paste in — but they can’t reach your document stores, can’t read scans, and can’t be trusted with confidential files.

01

Volume outruns attention

A single deal or filing can mean hundreds of pages. The signal — a liability clause, an obligation, a number — hides in the noise.

02

Scans and tables defeat copy-paste

Half of enterprise documents are scanned PDFs or dense tables. Pasting them into a chatbot loses structure or fails outright.

03

Confidential files can’t leave

Contracts and reports are exactly the documents you cannot upload to a hosted model. The useful tool is the one that runs inside your perimeter.

04

Answers without sources aren’t usable

For anything that matters, "the AI said so" is not enough. You need the page and passage the answer came from.

The VDF AI Opportunity

Document intelligence grounded in your own files

Extraction

OCR + Structured Extraction

Works on scans, tables, and messy PDFs.

The agent runs OCR on scanned and image-based documents, then extracts structured facts — parties, dates, amounts, obligations, key clauses — and the surrounding context. Spreadsheets and CSVs are parsed and analyzed directly.

  • OCR for scanned and image PDFs
  • Clause, entity, and figure extraction
  • CSV / spreadsheet analysis
  • Summaries at the length you ask for
OCR
Extraction Engine

Scans, tables, PDFs

ClausesEntitiesFiguresTables

Grounding

Private RAG Over Your Document Stores

Answers cite the page they came from.

Connected to your vector stores and systems like Confluence, the agent answers questions across whole collections of documents — not just one pasted page — and grounds every answer in the retrieved passage so reviewers can verify it.

Cited
Grounded Answers

Source passage attached

RAGVector searchConfluenceCitations

Governance

On-Premise & Auditable

The documents never leave your control.

Run the agent on-premise or in your sovereign cloud, with role-based access to document sources and an immutable log of every query, retrieval, and output. The files that are too sensitive for hosted AI are exactly the ones this is built for.

100%
On-Prem & Logged

Role-scoped access

On-premRBACAudit logSovereign
Where it pays back

Where document analysis pays back

Contract Review

Summarize a contract, surface liability, termination, and renewal clauses, and answer "what are our obligations here?" with the clause attached.

RFP & Tender Triage

Read a long RFP and extract requirements, deadlines, and evaluation criteria into a structured checklist your team can act on.

Report Summarization

Turn a 90-page market or research report into an executive summary, key findings, and the figures that support them.

Policy & Regulation Lookup

Ask plain-language questions across internal policies and regulatory PDFs and get grounded, citable answers.

Due Diligence

Work through a data room of mixed PDFs and spreadsheets, flagging risks and inconsistencies for a human reviewer.

Scanned Archive Search

Make a backlog of scanned, image-only documents searchable and answerable through OCR plus retrieval.

ROI Snapshot

What changes after rollout

−80%
Time spent reading
Hours → min
Contract review turnaround
Cited
Every answer traceable
100%
Source-document-safe
FAQ

Questions about the AI Document Analysis Agent

What is an AI document analysis agent?

It is an AI agent that reads enterprise documents — contracts, reports, RFPs, scanned PDFs, spreadsheets — and produces grounded summaries, extracts the facts that matter, and answers questions about the content. Unlike a generic chatbot, VDF’s agent runs OCR on scans, retrieves across whole document collections with private RAG, and cites the passage each answer came from, all on infrastructure you control.

Can it read scanned and image-only PDFs?

Yes. The agent includes OCR, so scanned contracts, image-based PDFs, and photographed documents are converted to text and analyzed like any other file. Tables and spreadsheets are parsed directly.

How is this different from pasting text into ChatGPT?

A pasted page has no OCR, no access to your other documents, no citations, and — critically — sends confidential content to a third party. The document analysis agent works over your connected document stores, grounds answers in retrieved passages, and runs on-premise so the files never leave your perimeter.

Does it keep our documents private?

Yes. Deploy on-premise or in your sovereign cloud. Access to document sources is governed by role-based policy and every query, retrieval, and output is captured in an immutable audit log.

How accurate are the answers?

Every answer is grounded in the specific passage it was retrieved from and shown with that source, so a human can verify it. The agent is instructed to flag uncertainty rather than guess, which is the right posture for contracts and regulated content.

Put your documents to work — without letting them leave

See the AI Document Analysis Agent read your contracts, reports, and scans on infrastructure you control.

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