Loan-application packets are classified, validated against bureau data, and routed — the exception queue clears same-day instead of sitting in a shared inbox.
Most document-automation pilots die at 80% — not because the model was wrong, but because nothing was built past it.
"We do not sell you software we hope works. We sell you the software we depend on."
— Banao TechnologiesThe same pipeline — classification, validation, exception routing, integration — runs our own 300-person operation before it runs yours.

One pipeline, six stages. Never a single model call.
A demo that reads one clean invoice well is not a system. We build the full run — classification through integration — so a document goes in and a posted, validated result comes out the other side.
Classify
Every incoming file is sorted by type before extraction starts — an invoice is never read like a claims form.
Extract
Structured data is pulled from real-world scans and photos, not just the clean samples a benchmark uses.
Validate
Every extracted field is checked against your systems of record, not just for internal consistency.
Score confidence
A threshold tuned to your real cost of a missed error decides what clears automatically and what doesn't.
Route exceptions
Anything under the bar goes to a person, into a queue built for review — never a dead spreadsheet.
Integrate
The validated result posts into your system of record — closing the loop instead of sitting in an export file.
Most document pipelines die at eighty percent. Here's the difference.
- ✕Read the easy 80% well, then stall on everything else
- ✕Match brittle templates that break on the first format change
- ✕Report accuracy on the samples that were easy, not the ones that mattered
- ✕Leave uncertain cases with nowhere to go
- ✓Classifies first, so the messy 20% gets a path built for it
- ✓Extracts per document type, not off a fixed template
- ✓Validates against your systems of record before anything counts as done
- ✓Routes every uncertain case to a person, never a guess
Most pilots stop at 80% — this is where
Not because the model was wrong. Because nothing downstream of it was built to catch the fraction it couldn't clear — the smudged scan, the vendor who redesigned their invoice, the claim with an addendum stapled to page four.
The demo was real. The system around it wasn't.
The 80/20 trap
The model clears the clean majority. The 20% that's the reason a person still does this job by hand never had a plan.
Brittle templates
Extraction tuned to a sample set holds until a vendor changes their invoice. Accuracy drops and nobody notices for a month.
Vanity accuracy
94% on a curated test set isn't 94% in production. What happens to the other 6%, and who's told, is the number that matters.
No home for exceptions
Flagged documents land in a shared inbox nobody owns. The manual work the pilot was meant to remove never left the building.
A pile of documents isn't the failure. A pile nobody posted anywhere is.
The pile
Documents land, get read once by a model, and then sit in a spreadsheet or a shared inbox waiting for someone to re-key them into the system that actually matters.

Straight-through
Classify, extract, validate against your own data, then post — directly into the system of record, above your confidence threshold, with a person only where the case actually needs one.
Three pilots that didn't stop at 80% — this is what finishing looks like
Not a demo reel. Three deployments that got past the part where most document-automation attempts die — the exception queue, the validation step, the integration that actually posts the result.
Metrics below are unpublished, pending client sign-off. Shown as pending — never invented.
Claims packs are read against policy terms before a person ever opens the file — only the uncertain ones reach a reviewer.
Invoice and statement processing runs without a template rebuild every time a vendor changes their layout.
If your last attempt died somewhere in this list, that's the conversation worth having. Book a Discovery Sprint →
Three systems. Our own operation. No exceptions.
Before any of this ships to a client, it runs Banao — hiring, outreach, and upskilling for a ~300-person company.
InterviewGodHiring
Runs hiring for the company that built it — including interviews for its own engineers.

VikaasOutreach
Runs Banao's own outreach — the same job it's built to do for clients.

VidyaUpskilling
Keeps a 300-person team current on the tools they ship.
Five reasons we'll tell you this isn't the right fit — yet.
We run our own ~300-person operation on the systems we build. That only works if we're honest about what doesn't belong on the roadmap.
You're validating an idea
If the next step is a proof of concept for a steering committee, start there. We build the system that follows it — not the deck.
No one will own it internally
You own the system when we leave — no lock-in. That only works if someone on your side is going to run it.
Off-the-shelf already clears the bar
If a subscription tool solves it, take it. We're built for the mid-to-large problems generic software doesn't reach.
You need it live tomorrow
Fast, for us, means weeks — real engineering shipped in weeks, not quarters. Not overnight.
There's no real workflow yet
We build on your actual documents and process — not a benchmark. If that doesn't exist yet, we're early for you.
The same pipeline we run our own operation on
Three stages, no skipped steps — classify, build, and run in production, the discipline we hold our own ~300-person operation to.
For the documents you cannot afford to get wrong.
Every uncertain case routes to a person, never a guess. Bring the document your compliance team worries about most — KYC files, claims packs, financial statements — and we'll show you where the confidence threshold sits.
Book a Discovery Sprint →- UAE PDPL
- Saudi SDAIA
- US SOC 2
- UK GDPR
- India DPDP