AI Document Workflows
From documents to usable information.
Extract, classify, and organize information with AI, with validation and human review built into the process.
- STEP 01Receive a document
- STEP 02Extract & classify
- STEP 03Validate & review
- STEP 04Send structured data
The work between the tools
Make the handoffs
part of the system.
Useful information is often buried in attachments and long documents. Manually reading, classifying, and copying each item makes every new document another handoff.
Who this is for
For teams reviewing recurring documents, emails, reports, and unstructured information.
An incoming service document becomes a structured draft containing a reference, requested work, and missing information. A person checks the draft before it enters the job system.
Illustrative workflowA defined engagement
Know what you’re
building towards.
Agree the scope, tools, responsibilities, and acceptance criteria before implementation. These are the building blocks to discuss.
Explore our delivery process- An agreed document set and output structure
- Extraction and classification rules
- A review path for uncertain or incomplete results
- Evaluation examples and documented limitations
Keep people in control
Design for the exceptions, too.
AI output can be wrong. Check it against defined fields and source material, route uncertain results to a reviewer, and require approval before consequential downstream actions.
Explore connection optionsBefore you begin
A few useful questions.
Will every document be processed automatically?
No. Suitability depends on document quality, variation, and the cost of an error. Define a review threshold and test representative examples before deciding what can proceed automatically.
Where does the document data go?
The data path, providers, permissions, and retention requirements are design decisions to agree before implementation. This website’s examples do not upload or process documents.
See the thinking in practice
Follow a workflow through.
Try a service request workflow with validation, approval, and connection recovery. It is an engineering demonstration using fictional data.
Your next workflow
Start with the work you want to improve.
Tell us where the repetition happens. Let’s explore what a clearer, connected process could look like.