Document Intelligence
AI search for teams that need fast answers from business files
We help teams find answers across contracts, reports, policies, inboxes and folders, then turn those answers into reports and workflows staff can check.
Direct answer
Document intelligence helps a team find, extract and use information from business files. It is useful when answers sit across PDFs, contracts, reports, emails, policies, spreadsheets or shared folders.
Answer for leaders
What people usually mean when they ask for this.
Most leaders are not looking for model theory. They want to know whether this work can make a real business process faster, clearer and easier for their team to own.
Who asks this
- Leaders whose staff spend too much time searching folders and files.
- Advisory, property, finance or operations teams that need fast answers from documents.
- Businesses that need report inputs checked against underlying files.
- Teams with contracts, policies, applications, reports or correspondence spread across systems.
What this is often called
Best fit
- Teams working across contracts, reports, policies, correspondence or compliance files.
- Businesses that need answers staff can check, not generic AI output.
- Workflows where documents feed reporting, reviews or client-ready outputs.
Problem
Important answers are buried in shared drives and inboxes.
Problem
Staff spend too long checking versions and source documents.
Common use cases
Where this usually shows up inside a business.
The useful question is what this would look like in your team. These are the patterns we would usually test first.
01
Ask business files questions
Staff can ask approved folders or document sets a question and see the relevant excerpts, documents and context needed to check the answer.
02
Extract report inputs
Information from contracts, statements, notices, applications or reports is extracted into structured summaries for staff review.
03
Compare document sets
Large groups of files can be compared against a checklist, template, policy or clause library to identify what needs attention.
What we implement
Practical outputs, not generic AI advice.
Ask-files-anything search experiences.
Answer workflows staff can check.
Document-based report generation.
Connections into reporting and automation systems.
How the work is shaped
Implementation details that matter before anyone builds.
01
Know the document set
We first identify file types, locations, quality, access permissions, update frequency and the questions staff need answered.
02
Design for checking
Important answers need enough context for a person to verify them. The system should show the file, excerpt and reason for the answer.
03
Connect documents to the workflow
Document intelligence is strongest when the answer feeds a real workflow such as reporting, intake, compliance, sales or client service.
Proof
Relevant work, shown responsibly.
Veriti has worked with property, finance and technical document workflows where staff needed faster answers without losing control of the final decision.
View example workflowsProcess
- 01Collect
- 02Structure
- 03Index
- 04Retrieve
- 05Review
- 06Use
Good fit when
- Choose this when staff search many files to answer routine questions.
- Choose this when documents feed reporting, checks or client-ready outputs.
- Choose this when file knowledge is spread across folders, inboxes or systems.
- Choose this when answers must be checked before action.
Not the right fit when
- A small, tidy document set that is already easy to search.
- Documents that are too poor to read without manual clean-up.
- Use cases where the team wants unchecked answers to make final decisions.
Controls we keep in place
- Access controls matched to staff permissions.
- Visible file references and excerpts for important answers.
- Defined process for outdated, missing or conflicting documents.
- Testing against real questions before rollout.
Terms people compare
Plain-English meanings for common AI service terms.
Document intelligence
AI-assisted search, extraction and summarisation across business files.
RAG
Retrieval augmented generation. The system retrieves relevant material from approved files before drafting an answer.
Document processing
Extracting, classifying or structuring information from files so it can be reviewed or used in another workflow.
Common questions
Before we start
Typical sources include PDFs, Word files, spreadsheets, policies, reports, contracts, correspondence and scanned documents where text extraction is possible.
Yes. We keep document references, excerpts and file context visible so staff can check important answers before acting on them.
Yes. Document answers can feed reporting, review workflows, client-ready outputs and operational handoffs.
No. Document management stores and organises files. Document intelligence helps staff ask questions, extract information and use file content in workflows.
Often, yes. Scanned documents may need optical character recognition first. Poor-quality scans should be flagged rather than guessed from.
Yes, depending on access and setup. We first map where files live, who can access them and how the answers will be checked.