Document AI Development
Sentia has built software in Sydney since 2006. Our document AI development turns invoices, forms and claims into checked, structured data for the systems you already run.
build with Sentia
Extraction isn't the finish line.
Checked, not just read.
Every extracted value is checked against the type, range and format it should have. The same checks run on every document, however many arrive.
Built for real-world documents.
Crumpled receipts, scanned forms and old PDFs. We design for the documents you actually get, not the clean samples in a vendor demo.
Feeds the next step.
Clean, structured data lands in your system, so approvals, payments and record updates can run without anyone keying it in.
Intelligent document processing, built around your documents
AI document automation for the paperwork your team keys in by hand. Each pipeline is built for your documents and connected to the systems you already run.
An invoice read field by field, ready to be checked.
Invoices and receipts, read and checked on arrival.
Staff keying in totals and line items from invoices and receipts is slow and easy to get wrong. We read each document, pull out the fields you need, check them against your own records and pass on clean data, with anything uncertain flagged for a person.
See our workReads scanned invoices, PDFs and receipt photos, even values split across lines.
Checks totals, dates and supplier details against what your system expects.
Blurry images, missing fields and low-confidence reads go to a person.
Mapped to your own data model, ready for approvals and payments.
Fields pulled from each form and passed to your system.
Applications and forms, whatever the layout.
Applications, forms and identity documents arrive in every format, often scanned or filled in by hand. We extract the fields your process needs from each layout, check that nothing required is missing and send complete records on to the next step.
See our workExtracts text and data from scanned documents, PDFs and handwritten forms.
Finds the same fields across documents that don't share a template.
Reads the details your process needs and checks them for consistency.
A chatbot can guide people through uploading the right files. Explore AI chatbots
Each claim checked against your rules, then approved or flagged.
Claims that approve themselves when the rules say so.
A claim usually means someone reading a receipt and checking it against a policy or balance. We read the document, run the same checks a person would, approve the routine cases and route the exceptions to your team with the reason attached.
See our workReads receipts, claim forms and supporting documents as they're submitted.
Checks each claimable item against your rules and the claimant's limits.
Anything that doesn't fit goes to your team, with the reason it was flagged.
Claims that pass every check are approved without manual review. Explore AI agents
Each read scored, so uncertain details are checked first.
Compliance records you can find and trust.
Certificates, inspection reports, insurance documents and contracts pile up against every property and asset. We extract the details that matter, such as dates, parties and conditions, check them and record them where your team works, so nothing important stays buried in a PDF.
See our workPulls out dates, conditions and sign-offs and records them against the property.
Captures policy and condition details so they can be tracked over time.
Extracts parties, dates and key terms for review and tracking.
Document AI inside the property platforms we build. See our property work
The tech we use.
AI & ML
- AWS Textract
- AWS Bedrock
- Anthropic
- OCR
- Prompt Engineering
Backend
- Ruby on Rails
- Python
- PostgreSQL
- Sidekiq
- RESTful APIs
Infrastructure
- AWS
- AWS Lambda
- Heroku
- S3
- Sentry
- Cloudflare
Is custom document AI the right call?
You need custom document AI.
Your documents vary, the data must pass your own rules, and the output has to land in the system you run.
You need a chatbot.
The documents come from people who need guiding, asking for the right file and confirming details as they go.
You need an AI agent.
Reading the document is one step in a longer workflow that runs across your systems, like checking, approving and updating records.
An off-the-shelf tool will do.
Your documents follow a standard format and the data doesn't need to land in your own system. A ready-made tool is cheaper, and we'll say so.
Not every document problem needs a custom build, and we'll tell you which one fits. Explore AI chatbot development, AI agent development, AI integration or AI development.
From your messiest real documents to clean data your systems can use, with every uncertain value caught on the way.
Understand the documents first.
We start with your real documents, the messy ones included, before designing any extraction. What actually arrives decides how each one is read.
Build validation into extraction.
Each value is checked against the type, range and format it should have, and against the other fields on the page, before it's accepted.
Handle exceptions explicitly.
Blurry images, missing fields and low-confidence reads are flagged and sent to a person with the reason attached, never passed on quietly.
Return structured, usable output.
Clean JSON mapped to your own data model, so the next step in your system, whether an approval, a payment or a record update, can use it.
Novated lease claims, read and approved automatically
For a novated leasing platform, we built claim approval that starts with the receipt. OCR reads it, the system checks each claimable item against the driver's balance, flags anything that doesn't fit and approves the rest without anyone reviewing it. Reading the receipt was the easy part. The checks are what let routine claims go through on their own.