Business process automation
AI document processing & process automation
Agents that read documents, orders and invoices, pull out what matters, and file it where it belongs.
The problem
Somewhere in your business a person is retyping a number that already exists in a PDF. Invoices arrive as email attachments, purchase orders as WhatsApp photos taken at an angle, delivery notes as scans. Someone reads each one and types it into a sheet or an ERP, and every so often they type it wrong.
Hours of typing become a review step.
Built for: Back offices doing manual data entry from documents.
What we deliver
Reads the messy inputs. Not just clean PDFs — phone photos, scans, forwarded WhatsApp images and screenshots, which is what real Indian back offices actually receive.
Field-level extraction. Invoice number, GSTIN, line items, HSN codes, totals, dates. Whatever your process needs, defined against your own documents.
Validation before it lands. Totals that do not add up, GSTINs that fail the checksum, dates in the future — flagged for review instead of silently written in.
Writes into your system. Tally, Zoho Books, SAP, a custom ERP, or a Google Sheet. We adapt to your system rather than asking you to change it.
A human review queue. Confident extractions pass through. Anything uncertain queues for a person, so the failure mode is a slower document, never a wrong one.
An audit trail. Every extracted field links back to the exact document it came from, which matters when someone asks why a number is what it is.
How the build runs
- 1
Sample the real documents
We take fifty to a hundred of your actual documents — including the bad photos — and measure what an agent can extract reliably. That number decides whether this is worth building.
- 2
Build and validate
We define the fields, the validation rules and the confidence threshold at which a document goes to human review rather than straight through.
- 3
Run and widen
Start with one document type. Once its error rate is boring, add the next one.
Also built here
WhatsApp & chat AI agents
Enquiries stop going cold overnight.
Customer support deflection
Most repeat tickets never reach a person.
Sales lead qualification & follow-up
Your team only talks to people worth talking to.
Not sure which of these fits? See how we scope the work, or read what we build for your industry.
Tell us what’s slow.
Describe the job eating your team’s day. We’ll tell you straight whether an agent is the right fix — and if it isn’t, we’ll say so.
Frequently asked questions
- Our vendors send blurry photos, not clean PDFs. Does that work?
- That is exactly why we sample your real documents before quoting. Modern vision models handle angled phone photos well, but your specific document mix decides the accuracy, so we measure it rather than promise it.
- What happens when it reads something wrong?
- Extractions below the confidence threshold never write automatically — they queue for a person. Validation rules catch a second class of errors, like totals that do not add up. The intended failure mode is a document that takes longer, not a wrong number in your books.
- Can it write into Tally?
- Yes, and into Zoho Books, SAP, most ERPs and plain Google Sheets. If your system has any import path or API, we can target it.
- Is our data used to train models?
- No. Your documents are processed for your extraction and are not used to train any shared model.