A neural invoice hub that converts document streams into structured financial data.
Multi-modal LLM extraction, vendor neural auto-population, IP-based currency localization, and a live cumulative audit dashboard — all in one platform. Powered by Google Gemini 1.5 Flash.
Accounts payable workflows are still bottlenecked on manual data entry. Invoice volume scales. Headcount doesn't.
An AP team receives invoices in six different formats from forty vendors across three countries. Someone opens each one, types the vendor name, invoice number, due date, line items, and amount into a system. Then they do it again for the next one. Then the next 200.
The failures are predictable. A vendor sends a PDF with their logo covering the invoice number — the entry clerk guesses. A line item description is ambiguous — it gets categorized wrong and triggers a reconciliation three months later. A currency conversion is done manually with yesterday's rate — the audit finds a systematic 0.8% discrepancy across forty invoices.
The root cause isn't process discipline. It's that human data entry can't match modern invoice volume without proportional headcount growth — and template-based OCR breaks the moment a vendor changes their invoice layout. When format variance is high and volume is growing, the only path that doesn't break is one where the extraction model can reason about layout, not just pattern-match it.
Invoicify uses a multi-modal LLM to read invoices the way a trained analyst would — understanding context, inferring missing fields, and flagging ambiguous extractions with confidence scores rather than silently producing wrong data.
Neural extraction. Vendor sync. Live currency audit. Bulk AI summary.
Multi-modal LLM reads layout, not templates.
Gemini 1.5 Flash processes the document visually and linguistically — it understands that the number below a logo is an invoice number even when the column header is missing, or that "Net 30" in a footer means payment terms. Every extracted field carries a confidence score. Low-confidence fields flag for review; high-confidence fields flow through.
Vendor Neural Sync eliminates re-entry for recurring merchants.
Save a vendor's billing email and corporate address once. On every subsequent invoice from that merchant, Neural Sync detects the recurring vendor signature and auto-populates stored fields. AP workflows that today require typing the same vendor data 200 times a year type it once.
Currency localization runs on every document, automatically.
IP-based geo-detection sets a default local currency. Live exchange rates pull on each session so every invoice — regardless of origin currency — gets a consolidated local-currency equivalent in the audit. No manual conversion. No stale rates. Currency override is available per session if the reviewer is auditing for a different entity.
Bulk AI summary surfaces patterns across the stream.
After processing a batch, the AI Executive Summary identifies spending patterns, flags vendors with anomalous invoice frequency, and surfaces total-spend breakdowns by category. One summary across 200 invoices. Anomaly detection that a per-document review would never surface.
Three things change once neural extraction runs the AP workflow.
Per invoice, for every supported format
PDF, JPG, PNG — all processed by the same extraction engine. No template maintenance, no format-specific rules to update when vendors change their layouts.
Currency conversion on every document
IP-localized default currency, live exchange rates per session, override available. Consolidated local-currency audit across multi-currency invoice streams without a separate conversion step.
Data entry for recurring merchants
Neural Sync auto-populates billing email and address for saved vendors. Recurring AP relationships cost one entry, not one per invoice cycle.
Numbers reflect Invoicify AI as deployed at invoicify.brilworks.com. Extraction accuracy depends on document quality and LLM API performance. Confidence scoring ensures low-quality extractions surface for review rather than flowing through silently.
Honest fit criteria. We'd rather say no than oversell.
✓Strong fit if
- Your AP team processes 50+ invoices per month across multiple vendors and formats
- You receive invoices in varied layouts — PDFs, scanned images, different template versions
- Multi-currency invoices require manual conversion steps that slow reconciliation
- You want spending pattern analysis across your invoice stream, not just per-invoice data
✗Not a fit if
- You receive fewer than 20 invoices a month from a fixed set of vendors with consistent formats
- Your ERP already has native OCR invoice capture and the bottleneck is approval, not entry
- You need guaranteed 100% extraction accuracy on legally binding documents without human review of flagged fields
- Your compliance policy requires server-side document storage — Invoicify processes in memory and stores metadata only
Book a 30-minute scoping call.
We'll review a sample of your invoice formats, walk through your current AP process, and tell you whether neural extraction fits — and what the vendor sync and currency audit setup would look like for your stack.
+ 91 9313644148
sales@brilworks.com
503, Fortune Business Hub, Science City Road, Sola, Ahmedabad, Gujarat, India Pincode- 380060
