Key Features
Field Matching
The Co-pilot checks key details, like invoice number, date, vendor, PO, and amount, to catch duplicates before they cause issues.
Cross-Referencing Historical Data
The Co-pilot checks each new invoice against past ones to spot patterns or duplicates, helping avoid repeat entries or errors.
PO and GRN Validation
The Co-pilot compares invoice details with related POs and goods receipts to make sure everything matches and nothing is duplicated.
Pattern Recognition
The co-pilot/AI spots duplicate invoices, even when there are small changes like different spacing, formatting, or letter casing.
Threshold-Based Scoring
The Co-pilot gives each invoice a match score. If it’s too similar to an earlier one, it gets flagged as a possible duplicate.
Exception Management
If a match isn’t clear, the Co-pilot sends the invoice for manual review, helping ensure accuracy and avoid false duplicates.
Learning and Adaptation
The Co-pilot learns from past duplicate cases to get better over time, reducing errors, avoiding overpayments, and keeping invoices accurate.
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?
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: Duplication Check
Does Hyperbots provide reports on duplicate invoice detections?
Yes, the Co-pilot generates detailed reports showing detected duplicates, including matched fields, source, and actions taken, ensuring transparency and auditability.
What happens if a duplicate is flagged incorrectly?
Stakeholders can override flagged duplicates if they are incorrect, and the Co-pilot learns from these corrections to improve future duplicate detection accuracy.
Can duplicate detection rules be customized for my business needs?
Yes, Hyperbots allows businesses to configure duplicate detection rules based on their specific requirements, such as prioritizing certain fields or setting thresholds for matching confidence.
How does the Co-pilot ensure accuracy in duplicate detection?
Hyperbots uses advanced matching algorithms and machine learning models trained on millions of invoices to ensure that duplicates are accurately identified without flagging valid invoices.
Does Hyperbots prevent duplicates from being processed across multiple sources?
Yes, the Co-pilot checks invoices across multiple sources (emails, drives, portals) to ensure that duplicates are detected, even if they originate from different locations.
Can the Co-pilot handle partial duplicates, such as invoices with minor differences?
Yes, Hyperbots can identify partial duplicates by evaluating contextual data and slight variations in invoice fields, such as spelling errors or formatting differences.
What happens if duplicate invoices are detected?
When duplicates are detected, the Co-pilot flags them for review, preventing processing and notifying the relevant stakeholders for confirmation or correction.
How does Hyperbots Co-pilot identify duplicate invoices?
Hyperbots Co-pilot uses AI algorithms to analyze 100+ invoice fields such as invoice number, vendor name, invoice amount, date, and PO number to detect duplicates with high accuracy.
Ready to take the next steps?
Book a demo with one of our Financial Technology Consultants to get started!