Documents into useful records
Extract proposed information from documents, then check it against your business rules.
- Invoice and order data extraction
- Document classification and categorisation
- Missing-field and exception checks

Use AI where it saves time, improves access to information or removes repetitive work — integrated into the systems and workflows your business already uses.
Invoices arrive as attachments. Customer requests need sorting. Answers are buried in documents. AI can help staff read, organise and find information, with checks before it becomes part of your operation. We first assess whether AI is useful: a simpler form, search tool or fixed rule may be the better fit.
Extract proposed information from documents, then check it against your business rules.
Help staff find relevant internal information and prepare responses they can review.
Summarise material and connect reviewed results to the software your team uses.
A static example of a document processing workspace. Proposed information stays separate from approved business records.
| Document | Processing | Next step |
|---|---|---|
| Supplier Invoice 1048 | Information extracted | Ready for review |
| Customer Request 208 | Categorised | Assigned to Sales |
| Purchase Order 812 | Information extracted | Ready for approval |
Illustrative interface — sample data, not a live client system.
An example journey. Rules, ownership and exceptions are agreed around your operation.
AI can sit alongside your existing software. Agree which sources it can read, who can approve a result and which records it may update. Connections depend on the access and integration options available in each system.
Prepare draft records from incoming documents so staff can focus on checking the details.
Make relevant guidance easier to find across approved sources, with references staff can check.
Connect reviewed information to tasks and records so the next person has the context they need.
AI can misunderstand a document or produce an incorrect answer. The workflow needs a practical way to catch, correct and learn from those exceptions.
Show where a proposed value or answer came from, and let staff compare it with the original information.
Agree permissions, approved data sources and retention requirements. Hold important or uncertain actions for human approval.
Record corrections and approvals. Test representative cases and revisit performance when documents, processes or AI services change.
Start with a specific problem and representative examples, including difficult cases.
Define access, data handling, review rules and what happens when information is uncertain.
Compare results with agreed expectations, involve staff and monitor changes after release.
Scope, user needs, integrations, migration and testing shape the proposal. Cost and delivery milestones are agreed after that review.
These are starting points, not limits on the businesses we work with.
Extract draft invoice details for staff to check before creating a payment record.
Categorise incoming enquiries and suggest the right team, with exceptions sent for review.
Help staff find an approved process and link back to the source document.
Practical questions about custom ai solutions.
Software that uses AI for a specific task within your business, such as reading documents or finding internal guidance. The workflow, permissions and review steps are designed around your needs.
Often, through the connections or data exports your software supports. We first review access, permissions and the records that need to move between systems.
It can be used to propose information from supported documents. Layout, scan quality and terminology affect results, so validation, realistic testing and review of uncertain information matter.
An internal knowledge assistant can search agreed sources and provide references. Staff should only see material they are permitted to access, and the source documents need to be maintained.
It can help classify, summarise or extract information before a rule or staff decision moves work forward. We agree which actions need approval and how failures or exceptions are handled.
Usually it supports the system you already use. Your business platform remains the place for approved records, responsibilities and actions. AI is one capability within that process.
Yes. A workflow can hold proposed information for review, show its source and record corrections and approvals. AI can make mistakes; important actions should have safeguards appropriate to their impact.
Cost depends on the use case, data preparation, workflows, integrations, users, security requirements, AI model or service requirements, testing and ongoing usage. We scope these with you before preparing an estimate.
Tell us how your business works today and what you’re trying to improve.