Identification and Reporting of Tax Mismatches
Hyperbots Co-pilot compares system-calculated taxes to invoiced amounts, flagging any mismatches in real time even at the line-item level.
Key Features
Automated tax calculation comparison
Compares system-calculated tax (based on product/service type, jurisdiction, and line-item details) with invoiced amounts, automatically flagging discrepancies.
Real-time validation checks
Runs validations during invoice processing, alerting users to mismatches before finalization to reduce risk and ensure compliance.
Granular discrepancy detection
Pinpoints incorrect rates or amounts at both the total and line-item level, streamlining resolution of specific issues.
Dynamic threshold & rule setting
Allows users to define tolerance levels or custom rules, focusing alerts on significant variances and minimizing false positives.
Exception reporting & alerts
Generates concise reports and sends notifications for swift review, ensuring timely corrections and overall accuracy.
Sales tax compliance
Co-pilot verifies applicable sales tax for every invoice and line item automatically
Tax underpayment
Co-pilots acts as a preventive methods against over or under charged sale tax by vendors
Auditability
Human Errors
Reputation
VALUE PROPOSITION
Why Hyperbots Sales
Tax-Verification Co-Pilot?
Hyperbots Sales Tax Verification Co-pilot automates tax validation for invoices, leveraging AI to ensure compliance with regional tax laws and eliminating errors, reducing manual effort and financial risks.
Before and After Hyperbots Sales Tax Verification Co-Pilot
FAQs: Identification and Reporting of Tax Mismatches
How does the system compare expected tax amounts to invoiced amounts through Automated Tax Calculation Comparison?
It calculates expected tax (based on product/service type, jurisdiction, and line items) and compares it to the invoiced tax, automatically flagging any differences.
Why are Real-Time Validation Checks important, and how do they help prevent non-compliance?
They identify mismatches during invoice processing, allowing immediate fixes and reducing the risk of incorrect filings or penalties.
In what ways does Granular Discrepancy Detection isolate mismatches at both the total and line-item level?
The Co-pilot checks both overall invoice totals and each line item’s tax details, making it easier to find and correct specific errors.
How does Dynamic Threshold & Rule Setting allow users to tailor the significance of detected mismatches?
A4: Users set their own tolerance levels or rules, so only meaningful discrepancies are flagged, reducing false alarms.
What role do Exception Reporting & Alerts play in ensuring timely corrections to tax discrepancies?
The system generates concise reports and sends alerts when mismatches occur, speeding up reviews and ensuring quick resolution.
How do these features collectively streamline the process of identifying and resolving tax errors in invoices?
Automated comparisons, immediate checks, targeted detection, custom thresholds, and quick notifications work together to spot errors fast and guide prompt corrections.
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.
