A vendor submits their documents.
Your team checks eligibility and compliance.
Product
A platform for document extraction and decisioning — deployed locally and securely in your environment.
It extracts and connects facts across your documents, assesses them against your policy, and prepares a decision for your team to review.
Why a different approach
Across very different processes, the work has the same shape. Something is submitted. Someone has to read it, and then check it against your rules.
A vendor submits their documents.
Your team checks eligibility and compliance.
A customer submits a claim.
Your team checks coverage and supporting evidence.
A business submits a loan application.
Your team assesses its financial position against your lending criteria.
In most organisations the extraction and the assessment are built, bought and maintained as separate systems — each with its own backlog, its own owner, and its own way of falling out of date.
But do they need to be?
DocuPrism brings extraction and decisioning into one flow.
The platform
DocuPrism extracts and connects the facts across your documents, assesses them against your policy, and prepares a decision for your team to review. From extraction to assessment, all natively within DocuPrism — no additional assessment system required.
Documents in
Extract and connect
Facts
Context
Connections
Traced to the page it came from.
Assess
The connected evidence checked against your policy criteria.
No separate rules engine
Ready for review
A prepared decision, with the evidence behind it at hand.
Your team decides.
01
Complex, messy enterprise documents — scans, photos, dense PDFs, email threads, forms and evidence packs.
02
Facts pulled from each document and connected across the whole file, with every value traced to the page it came from.
03
The connected evidence is checked against your criteria natively — no separate rules engine, no second system to keep current.
04
A prepared decision lands in front of your team, with the evidence behind it at hand.
The assessment
The assessment is not a score with no explanation behind it. It states its position on every criterion, and shows the evidence it got there on.
The criteria satisfied, each one traced to the evidence that satisfies it.
The criteria nothing in the file speaks to, named rather than left blank.
Conflicts, values outside expected ranges, and anything the engine is unsure of.
How it works
The same engine reads the documents, connects what it finds, and assesses it against your criteria — one reading, one set of provenance, one audit trail.
Step 01
Intake, parse, classify. Scans, photos, messy PDFs and complex tables become machine-readable and tagged by document type.
Step 02
Your business questions and your policy criteria become a schema. Authored once, applied to every future document.
Step 03
Multi-layered, with dedicated pipelines for text blocks and key/value pairs, all backed with evidence you can trust.
Step 04
Business logic, range limits, arithmetic. Bad totals are flagged for review, never silently passed.
Step 05
Facts connected across documents and checked against your policy, with each link traced to the clause that justifies it.
Step 06
The assessment reaches your team showing what is met, what is missing, and what needs a human.
Every value carries the page it came from. Nothing is asserted without a source.
Worked example — a maintenance claim
Maintenance completed
4 scheduled visits
Monthly maintenance contract
Clause 7.2
SLA breach
✓ not triggered
$5,000 / month
contracted rate
Payable
$5,000
The contract withholds payment on an SLA breach. The engine checked that condition, found it untriggered, and recorded the check as part of the assessment — so the $5,000 is not just a number, it is a number with its reasoning attached.
Policy criteria and case evidence stay connected through the decision.
Model each product once. Apply it consistently across every relevant case.
Each connection traces back to the clause, and the page, that justifies it.
Adopting it
DocuPrism does not ask you to trust it on day one. Every assessment starts in front of your team, and automation is something you turn on when the numbers justify it — criterion by criterion, not all at once.
Start here
Your team reviews each prepared decision with the supporting evidence at hand. Nothing is automated on day one, and nothing has to be.
01
Then
Compare the assessments against what your team actually decides, on real cases, until you know where the engine agrees with you and where it does not.
02
When you are ready
Let the clear cases go straight through on the criteria you have validated, and route the exceptions to your team.
03
Straight-through where it's clear. Human judgment where it counts.
Use cases
Different sectors, same underlying problem: turning complex documents into operational data and defensible assessments.
Extraction at scale
Extraction and decisioning
One flow. From documents to a decision your team can defend.
Deployment
DocuPrism runs inside the boundary you already control. There is no DocuPrism cloud for your documents to travel to.
On-premises, or inside your own private cloud or VPC.
Runs on local open-weight models — no external API calls, no per-token metering.
Documents, the connected facts, every decision record and its audit trail — none of it leaves your environment.
Your documents, your rules, your hardware — and every decision stays yours.
Security & governance
Model outputs are parsed into typed, schema-validated data. Never executed, never turned into commands or queries.
Business audit trail, AI cost ledger and technical traces kept as distinct records — for the regulator, for finance, for engineering.
Row-level separation enforced by the database from the first migration, not by application code.
Host, network and physical security remain your controls, from pilot through production.
The ask
A working system on your documents, so the decision to go further rests on results rather than a demo.
1 day
A working session with your team to define the documents, the policy criteria, and what success will be measured by.
1–2 days
You provide a real sample — actual case files, not curated ones. Anonymised if needed. Everything stays in the agreed environment.
3–4 days
On the engine, not a mock-up: your schema authored, your documents read and connected, and assessed against your criteria.
Day 7
A live run on your documents, scored against the criteria from day one. Then a decision: go to pilot, or stop with your questions answered.
From first meeting to working system: about a week. That pace is the product.
Next step
Forty-five minutes and one use case. Give us the time and we'll identify where documents are creating operational drag, and whether it is worth proving on your own documents.
Book a demo