Central Region · Applied AI
AI document processing in Novena
AI document processing designed around the way a Novena team actually runs.
What AI document processing actually does
Scanned invoices, signed contracts, handwritten timesheets, PDF specs – extracted into clean data and routed where they belong. No more typing what someone already wrote.
Novena businesses don't need another generic AI pitch. AI document processing only earns its keep when it's built around the workflow you actually run on a wet Tuesday, and that's how we scope every engagement we take on in Central Region.
- 01 Vision models read scans, photos, and handwriting
- 02 Pushes structured data into Xero, your CRM, or sheets
- 03 Confidence flags route low-certainty docs to a human
- 04 Handles te reo, bilingual forms, and old NZ templates
Built on: Claude Vision AWS Textract Mistral OCR Vercel
Why Novena businesses choose this
Novena is Singapore's medical hub, dense with private hospitals and specialist clinics – AI here means handling patient-facing and admin work with genuine care around accuracy.
What Novena teams tell us when they get on a call.
One of the highest concentrations of private hospitals and specialist medical centres in the region, serving both local patients and medical tourism. Clinics here want AI that reduces admin load without ever compromising on precision.
We work with teams across Novena: Novena Medical Centre · Thomson · Balestier · Toa Payoh · Newton.
How we build AI document processing for a Novena team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Novena business, so value lands before the build is finished. Every engagement starts with a short call and a paid discovery if the brief needs one.
AI for paperwork.
The outcome for Novena teams
The shape of the result for Novena teams: Cuts data-entry labour by 80% on invoices, POs, and timesheets. Built on Claude Vision, hardened with the rest of the stack as it scales.
Cuts data-entry labour by 80% on invoices, POs, and timesheets.
AI document processing in Novena – common questions
What's the realistic timeline for AI document processing with a Novena?
Most Novena businesses have their first usable slice in week 5 or 6. We'd rather ship narrow and real than broad and aspirational – your team gets to use the thing well before the engagement is "done".
What does AI document processing cost for a Novena?
Pilots start from a fixed scope priced to land a measurable result inside 6 weeks. Pricing depends on data volume, integration complexity, and whether you need us on managed services afterwards. We'll quote precisely after a 30-minute scoping call.
Can you walk us through a comparable build?
Yes – on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. Cuts data-entry labour by 80% on invoices, POs, and timesheets.
What happens if we want to swap a vendor out later?
AI document processing is built behind a small adapter layer specifically so swapping a model provider or a data source is a one-day job, not a re-architecture. Claude Vision, AWS Textract, Mistral OCR, Vercel are our defaults, but the build is intentionally portable.
Sketch this with us.
We'll map your real workflow before quoting anything.
Get in touch
Talk to us about this
Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.