AI Development / Document intelligence
Document intelligence that sends only the exceptions to people.
Structured extraction and classification over high-volume documents, with low-confidence fields routed to a person instead of every page.
Document intelligence services. From unstructured files to structured, reviewable data.
Document classification
Sort incoming documents by type automatically before any extraction starts.
Structured field extraction
Pull the fields you need into a defined schema, ready for your systems.
Confidence scoring
Every extracted field carries a confidence level, so uncertainty is visible.
Exception review queues
Only low-confidence fields and genuine exceptions go to people.
Rules engine hand-off
Extracted data feeds deterministic business rules, as in our workflow automation platform.
Citation-grounded search
Search across document sets with answers traced back to the source page.
Unstructured data ingestion
Bring scattered files and records into one connected system.
Audit trails
Changes to extracted records are logged, so every value can be traced.
Integration & export
Structured output delivered into your existing tools through their APIs.
How it works. An illustrative replay based on a delivered engagement, using sample data.
- 1Party namep.1
- 2Reference numberp.1
- 3Effective date§1
- 4Total amount§2Needs reviewVerified
New contract in the inbox. Extract the key fields and flag anything you are unsure of.
New document received
Running structured extractionStructured extraction complete
Classifying documentClassification complete
Checking extraction confidenceLow-confidence field flagged
Routing exceptions to manual reviewOnly the exception goes to review
Document AI we have shipped. Each result comes from a delivered engagement.
AI document intelligence
Extraction and classification that sends only the exceptions to people.
>80% less manual review AI · Workflow automationWorkflow automation platform
AI extraction feeding a deterministic rules engine, with consistency checks built in.
~70% faster document prep AI · LegalResearch & review assistant
Citation-grounded answers, each one traced back to its source document.
~50% faster review time AI · InsuranceFull-stack AI platform for insurance
Fragmented policy, claims and correspondence data connected into one structured workflow.
~2.5x faster processing AI · ConstructionAI SaaS for fit-out & construction
An AI SaaS platform from drawing to quotation, for English and Chinese-speaking teams.
5-stage connected workflowWhy teams automate document review. People review what matters instead of every page.
Less manual review
Structured extraction handles the routine documents end to end.
Visible uncertainty
Confidence scores show exactly which values need a second look.
Consistent output
The same document produces the same structured result every time.
Faster turnaround
Documents move on as soon as they are processed, not when someone gets to them.
Traceable values
Every field can be traced back to where it came from.
Connected data
Extracted data flows into the systems that use it, instead of into another spreadsheet.
Have documents your team reviews by hand?
From idea to production. Four stages, with a working version reviewed at each one.
-
Discovery
Map the document workflow, the systems and data involved, and what good looks like.
Discovery notesDone
- Document types and volumes
- Fields and schema needed
- Where review happens today
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Scope & architecture
Agree the architecture, success measures and delivery milestones.
Solution designDone
- Extraction and classification design
- Confidence thresholds
- Review queue and integrations
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Build
Build against real data, with a working version reviewed at each milestone.
Working buildDone
- Pipeline built on sample documents
- Accuracy checked on real cases
- Review at each milestone
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Ship & support
Roll out to production with monitoring and a defined support window.
Production rolloutDone
- Production pipeline
- Monitoring of exceptions
- Defined support window
Results from our document AI work. Each number links to the engagement it came from.
Engagement models. Pick the shape that fits where you are.
Dedicated team
A dedicated team that works as an extension of yours, from first release to scale.
Project-based
A defined scope, milestones and delivery date for a specific product or workflow.
Consulting & advisory
Architecture and readiness advice before you commit to a build.
What our clients say.
“Avinya Labs built our full-stack AI solution, delivering scalable infrastructure, optimized AI workflows, and a seamless user experience. Their expertise accelerated our launch and significantly reduced execution risk.”
“Avinya Labs built our AI travel chatbot … A highly capable team that delivers ahead of the curve.”
Document intelligence FAQs.
What is document intelligence?
Software that reads documents, classifies them, and extracts the fields you need into structured data, flagging anything it is unsure about for a person to check.
What happens when the AI is not sure?
Each field carries a confidence score. Anything below the threshold you set goes to a review queue instead of straight into your systems.
Which document types can it handle?
Unstructured and semi-structured documents such as contracts, forms, filings and correspondence. We confirm your document types during discovery.
Can it plug into our existing systems?
Yes. Structured output is delivered into your tools through their APIs or a structured export.
How do you handle our data?
Access is scoped to what the system needs, with role-based permissions and audit trails where records change. We agree data handling during discovery.
Ready to turn your vision into reality?
Tell us the problem, the data, and where manual effort sits today. We'll map the path from MVP to scale.
Or email contact@avinyalabs.co