Document Operations In development
Project in development
DocCore
Concept UI · Development preview · No real document data
Any business document in. Clean, checked data out.
- Built for
- Accounting, finance and operations teams
- Industry
- Document Operations
- Project Type
- AI document reading platform
Description
DocCore is an AI document platform in development. Send it any business paperwork, such as invoices, receipts, bank statements or payment screenshots, and the AI reads it like a person would, with no templates or layout rules, and turns it into clean, structured data.
Every field gets a confidence score and is checked for arithmetic and format errors. Anything risky goes to a person, shown beside the original page. When the AI meets a kind of document it has not seen before, it proposes a new document type for someone to confirm, and every correction teaches it for next time.
Approved data then flows on to the accounting or business software a team already uses, so nobody re-types it.
Deployment options
Available as a subscription or as a deployment on your infrastructure, subject to the agreed scope. Forward Deploy retains the software’s intellectual property; usage rights, fees, support and running costs are agreed in writing. Read the terms
Specifications
- Status
- In development
- Focus
- Document reading, checking and hand-off
- AI
- Reads any document; per-field confidence; learns new document types
- Built for
- Accounting, finance and operations teams
- Release
- Not publicly released
Features
Reads any document
Invoices, receipts, statements and screenshots, with no layout rules to set up.
Confidence on every field
Each value is scored and checked, so only uncertain data needs a person.
Review beside the source
Reviewers see the original page next to the extracted data.
Learns new document types
Repeating unknown documents become a proposed new type, confirmed by a person.
Gets better with use
Every correction improves the next extraction.
Hands data on
Approved data flows to existing accounting and business software.
Architecture
DocCore is being designed to bring documents, AI reading, checks, human review and approved hand-off into one controlled flow. The diagram shows the target operating model for the development build, not a deployed system.
Explore the architecture ↗ (new tab)Expected Impact
Expected outcomes, not measured results. Figures will be added once the product is piloted and compared with a baseline.
Less re-keying
Data entry done by AI
AI extraction is expected to remove most manual typing of document data.
How we’ll measure it Track minutes spent entering fields per document.
Fewer errors
Mistakes caught before the books
Per-field confidence and checks are expected to catch errors before data moves on.
How we’ll measure it Track errors found after hand-off.
Faster close
Shorter document turnaround
Approved data is expected to reach the next system with less chasing.
How we’ll measure it Track time from receipt to approved hand-off.
Improving accuracy
Better every month
Learning from corrections is expected to reduce the share of fields needing review.
How we’ll measure it Track the review rate per document type over time.