Key Features

Multi source discovery

Multi-Source Discovery

The Co-pilot automatically finds invoices wherever they arrive, email, Google Drive, OneDrive, portals, or shared folders. Example: Automatically detecting invoices attached to emails or uploaded to shared folders.

Intelligent Email Parsing

The Co-pilot scans incoming emails to detect invoice attachments while filtering out newsletters, spam, and unrelated messages. Example: Detecting a PDF invoice in an email with the subject “Invoice #12345” and ignoring emails with PO or contracts

Customizable Source Configuration

The Co-pilot scans incoming emails to spot invoice attachments, automatically skipping spam, newsletters, and unrelated messages. Example: Monitoring the dedicated inbox invoices@company.com and ignoring personal emails.

File Type Recognition

File Type Recognition

The Co-pilot works with all common invoice formats, PDFs, scans, Excel sheets, and Word files, so nothing gets missed. Example: Identifying both a PDF invoice and an Excel-based invoice template uploaded to a cloud drive.

Content-Based Filtering

Content-Based Filtering

The Co-pilot understands what each document contains, helping it separate invoices from contracts, POs, and other file types. Example: Detecting key invoice identifiers like “Invoice Number” or “Total Amount” to confirm document type.

100% Accuracy with Noise Filtering

100% Accuracy with Noise Filtering

The Co-pilot checks the actual content of each file to accurately detect invoices, ignoring unrelated documents like POs or contracts. Example: Ignoring unrelated documents like delivery receipts or meeting agendas.

Real time and scheduled discovery

Real-Time and Scheduled Discovery

The Co-pilot can find invoices as they arrive or run scans on a set schedule, hourly, daily, or weekly, based on what works best. Example: Continuously monitoring email inboxes in real-time while scanning shared folders once daily.

KEY BENEFITS

Achieve 80 % straight-through invoice processing as AI discovers, extracts, validates, matches, GL-codes, and posts to your ERP—shrinking manual effort, accelerating approvals, and boosting accuracy, compliance, and cost efficiency.

80%

Invoice processing cost

AI achieves up to 80% straight-through processing of invoices, freeing up staff bandwidth by 80%. Retained staff is empowered by Co-pilot with pin-pointed reasons to  take quick decisions on business exceptions reported.

<1 min

Invoice processing time

Co-pilot reduces invoice processing time from an industry average of 11 days to less than one minute due to STP achieved through AI.

Human errors

Vendor satisfaction

Duplication & frauds

Auditability

Why Hyperbots Agentic AI Platform?

Why choose hyperbots agentic AI: finance-first, accurate, adaptable AI

Finance specific

Hyperbots Agentic AI platform specializes exclusively in finance and accounting intelligence, leveraging millions of data points from invoices, statements, contracts, and other financial documents. No other platform has such large pretrained models on F&A data.

Best-in-class accuracy

Hyperbots achieves 99.8% accuracy in converting unstructured data to structured fields through a multimodal MOE model integrating LLMs, VLMs, and layout models. With contextual validation and augmentations, the platform ensures 100% accuracy for deployed agents.

Synthesis of unstructured and strutured finance data

Hyperbots agents emulate finance professionals to autonomously perform F&A tasks by reading and writing data like COA, expenses, and vendor masters from core accounting systems and integrating it with unstructured data from financial documents such as invoices, POs, and contracts.

Pre-trained agents with state of the art models

Hyperbots' Agentic platform, pre-trained on millions of financial documents like invoices, bills, statements, and contracts, ensures seamless integration, high accuracy, and adaptability to any accounting content, form, layout, or size from day one.

Company specific inference time learning

Hyperbots' Agentic platform employs state-of-the-art Auto ML pipelines with techniques like reinforcement learning to enable inference-time learning for tasks such as GL recommendation and cash outflow forecasting, ensuring continuous improvement and adaptability.

FAQs: Invoice discovery

Designed by CFOs for CFOs

We worked with several CFOs to solve the right problems.

Hear what they have to say!

Designed by CFOs for CFOs

We worked with several CFOs to solve the right problems.

Hear what they have to say!

Ready to take the next steps?

Book a demo with one of our Financial Technology Consultants to get started!