How teams automate with Nanonets agents
From Fortune 500s to scale-ups, teams across industries use Nanonets agents to act on their systems of record and eliminate manual work.
Mondelez manually validated freight invoices against carrier rate cards across MEA, SEA, and Australia. An autonomous Nanonets agent now handles invoice validation, rate card matching, reconciliation, and discrepancy flags end-to-end.
UniPro coordinates order confirmations across 400+ trading partners sending documents in different formats — a workflow that broke every time layouts or contracts changed. A Nanonets agent reads plain-English business rules, extracts from any format, and reconciles against Dynamics 365 — 93% fully touchless.
Asian Paints processes vendor documents from 22,000+ suppliers — invoices, POs, delivery notes, and DANs — through one automated pipeline that classifies, extracts, reconciles, and imports into SAP.
JTI Ukraine manually extracted data from 185,000 tobacco excise stamps per year for tax refund claims. A Nanonets agent now ingests, splits, deduplicates, and extracts all three stamp fields end-to-end.
SaltPay transitioned to SAP but had no integration support for invoice processing across 100K+ vendors. A Nanonets agent now extracts, validates against business rules, and posts directly to SAP AP end-to-end.
PayGround's mobile app required patients to manually fill 6-10 form fields per medical bill. A Nanonets agent now scans bills, extracts all fields, and pre-fills the payment form — zero manual input.
Ascend's 50% YoY growth meant invoice volume was outpacing staff. 5 FTEs and 6 hours/day of manual work. A Nanonets agent now processes 400 invoices daily — extracting, validating, and uploading to SQL automatically.
Hometown Holdings manually posted utility bills from 2,500 property units into Rent Manager. A Nanonets agent now ingests from email, extracts all fields, maps vendors, and posts to Rent Manager — 88% straight-through.
Expatrio manually verified international passports for relocation customers — a slow, error-prone process across multiple document formats. A Nanonets agent now extracts all passport fields automatically, validates MRZ numbers, and flags fraudulent documents.
SafeRide Health manually processed 15,000 pages/month of driver and vehicle documents across 16 document types into Salesforce. A Nanonets agent now classifies, extracts, validates, and exports — 80% fully touchless.
Defined Physical Therapy manually extracted data from 60,000+ CMS-1500 insurance claim forms annually — 11 minutes per claim. A Nanonets agent now ingests from Gmail, extracts all fields, and pushes to their CRM via webhook.
Brown Strauss's sales team spent ~1 hour per document converting customer PDFs to Excel before manually uploading to SyteLine ERP. A Nanonets agent now extracts all fields with >95% accuracy and posts directly — under 10 minutes.
Augeo manually processed 3,000 vendor invoices monthly for a non-profit client — 4 hours of daily data entry with no native OCR in Accounting Seed. A Nanonets agent now extracts, validates, and posts invoices directly into Salesforce in under 30 minutes.
Tigris manually extracted data from invoices, POs, and bills of lading — ~70% accuracy and multiple manual touchpoints per document. A Nanonets agent now ingests from email, extracts via 5 custom models, and exports to NetSuite via webhook.
Pro Partners Wealth had near-zero straight-through processing — every invoice required manual review before entry into QuickBooks. A Nanonets agent now extracts, validates against business rules, and exports with >80% STP rate.
A $1B water infrastructure network processed 3,500+ monthly line items across 72 invoice formats manually in SAP Ariba. A Nanonets agent now ingests, extracts, validates ABN numbers in real time, and feeds live Power BI dashboards.
GenesisONE employees manually keyed invoice data from FileBound into E-Automate ERP — 1,920 hours per year of avoidable work. A Nanonets agent now ingests from Gmail, extracts fields, routes by department, and exports to E-Automate automatically.
ACM Services spent 15–20 hours per week manually entering vendor invoices into Foundation Construction Accounting Software — 1,040 hours per year. A Nanonets agent now extracts, enriches with GL codes, and exports in Foundation-compatible CSV in a single day.
That Index processed hundreds of thousands of invoices and credit notes for a UK charity — manually feasible at small scale but impossible at volume. A Nanonets agent now ingests via email API, extracts with 100+ post-processing rules, and exports to MSSQL in 6 seconds per document.
StarTex clients in the chemical industry received Safety Data Sheets requiring 10 minutes of manual processing each — impossible to scale across millions of vendor documents. A Nanonets agent now extracts all SDS fields in 10 seconds, with 90% fully touchless.
Ellement manually extracted employee pension data from contribution reports into Excel — 16 hours per 100 documents with limited accuracy from Power Automate. A Nanonets agent now ingests from OneDrive, extracts all fields with 97% accuracy, and exports to Excel in 1.5 hours.
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