Document pipelines for teams drowning in invoices, bills, and manual data entry.
Paperwork that files itself. You just approve.
We build AI pipelines that read the invoices, bills, and documents flooding your inbox, extract the fields that matter, flag what looks wrong, and prepare draft entries for your books or your system. Nothing posts itself: a person reviews and approves every entry. The typing disappears; the control stays with you.
Timeline
2-5 weeks including the parallel run on your real documents
Engagement
Document audit + extraction build + review workflow + parallel run
Investment
Typical builds: ₹40K–2.5L / $500–3K depending on volume and integrations
Why Teams Come To Us
- Teams with a recurring flow of invoices, bills, and forms typed in by hand
- SMBs whose accountant spends days on data entry that a pipeline could draft
- Operators who want a stronger audit trail, not a black box posting to their books
Outcomes We Usually Move
- Manual typing removed
- Errors flagged before they reach your books
- Every entry human-approved
Not For
- Teams expecting fully unattended posting with no human review
- One-off digitisation projects with no recurring document flow
- Documents so unstructured that even a person cannot say what the right entry is
Standards
How We Build Document Pipelines You Can Trust
Extraction Is Cheap. Trust Is the Product.
A wrong amount posted confidently is worse than manual entry.
Validation Before Entry
The system should catch the duplicate before your accountant does.
Human Approval Is a Feature, Not a Fallback
We automate the typing, not the judgment.
Your Data Stays Yours
Documents and extractions live in your storage, not our product.
Proven on Your Volume First
You switch over when the numbers earn it.
Proof
How the Pipeline Works
Intake to Approval Flow
System diagram: how a document travels from inbox to an approved entry. Nothing posts without a person.
Field Extraction Card
The fields the AI pulls from each document, each with a confidence signal. Sample data, not a client invoice.
Validation Flags
The four checks every document passes before a draft entry exists. Problems surface as flags, not wrong numbers.
Integration Handoff
How approved entries reach Tally, Zoho Books, or your spreadsheet - with the audit trail attached.
Results
10+
Fields Per Document
Vendor, amounts, GST details, line items, due dates
4
Validation Checks
Duplicates, arithmetic, GST format, outlier amounts
100%
Human-Approved
No entry posts without a person's sign-off. By design.
Still typing invoices in by hand?
Tell us what lands in your inbox in a week. We will tell you honestly how much of it a pipeline can handle and what still needs a person.
How a Document Pipeline Gets Built
Document Audit and Field Mapping
- Sample your real document flow: formats, senders, volumes
- Define the exact fields your books or system need
- Agree the validation rules and the approval workflow
Extraction and Validation Build
- Intake wiring: email inbox, WhatsApp, drive folder, or upload
- AI extraction tuned on your document samples
- Validation flags: duplicates, arithmetic, GST format, outliers
Review Workflow and Integration
- Approval screen: document and extracted fields side by side
- Draft-entry handoff to your accounting tool or spreadsheet
- Correction loop so the pipeline learns your documents
Parallel Run and Handover
- Run alongside manual entry until the accuracy is proven on your volume
- Accuracy report on real documents before you rely on it
- Handover docs and monitoring, so your team runs it without us
Free Audit
What We Evaluate
We audit your document flow across six areas to find where extraction pays back fastest.
Document Volume & Formats
Fields Your System Needs
Error & Duplicate Rate
Current Entry Time
Approval Workflow
Integration Targets
Worth ₹15,000. Yours free.
Pipeline Stack
FAQ
Frequently Asked Questions
Does anything post to my books automatically?
No. The pipeline reads documents, extracts fields, runs validation checks, and prepares a draft entry. A person on your team reviews and approves every entry before it goes anywhere. We automate the typing and the checking, not the judgment - that design is deliberate and we will not remove the approval step.
How accurate is the extraction?
It depends on your document mix, which is why we do not quote an accuracy number before seeing it. The build includes a parallel run: the pipeline works alongside your manual entry on real documents, and you see the measured accuracy on your own volume before you rely on it. Fields the AI is unsure about are routed to a human instead of guessed.
Can you show me what the workflow looks like?
Yes - we published a step-by-step walkthrough of the pipeline on sample invoices, from inbox to extracted fields to validation flags to a draft entry, on our work page. It is clearly labelled as a demonstration on dummy data, not a client result: we would rather show you the mechanics honestly than invent a case study.
Which documents and tools does this work with?
Invoices, bills, receipts, purchase orders, and structured forms - as PDFs, scans, or phone photos. Intake can be an email inbox, WhatsApp, a drive folder, or direct upload. On the output side we prepare entries for tools like Tally, Zoho Books, or a spreadsheet your accountant already uses. If your tool has an import format or an API, we can target it.
What does it cost?
A build scoped to your document volume, formats, and integrations, plus your own AI usage costs, which for typical SMB volumes are small. We do not quote before the document audit. Book the free strategy call; after we see a week of your real documents you get an architecture, a timeline, and honest numbers.
Process
What Happens After You Reach Out
Step 1
Document Audit
We look at a sample of your real documents and your current entry process to find the highest-ROI automation targets.
Step 2
Feasibility Call
We align on what extraction can handle on your document mix vs. what still needs a person. No overpromising.
Step 3
Scope and Architecture
You get a proposed pipeline: intake, extraction, validation rules, approval workflow, integrations, and timeline.
Step 4
Build, Parallel Run, Handover
We build, run it alongside your manual process until accuracy is proven, then hand over a system your team owns.
Snapshot
Engagement Snapshot
Timeline
2-5 weeks including the parallel run on your real documents
Engagement
Document audit + extraction build + review workflow + parallel run
Investment
Typical builds: ₹40K–2.5L / $500–3K depending on volume and integrations
Handoff
Measured accuracy report, review workflow, monitoring, and operator docs
Next Step
Think this might be the right fit?
Send a project brief. If there's a fit, we'll map the fastest path to outcomes.
Currently booking for May 2026