Automating GL Posting for Accruals
Ensures accurate double-entry bookkeeping by validating transactions and syncing entries through ERP connectors, without manual effort.
Key Features
Seamless ERP integration
The Co-Pilot connects directly with the ERP using Hyperbots connectors to automate invoice entries and GL postings. It works with both single-step and two-step processes, based on how the ERP is set up.
Read-Back Validation
After posting to the ERP, the Co-Pilot checks the saved data against what was originally intended. This helps confirm everything is accurate or flags any mismatches for review.
Double-Entry Bookkeeping
The Co-Pilot uses the ERP’s built-in debit and credit features to ensure accurate double-entry accounting for every transaction.
Error Detection and Transparency
If something doesn’t match during validation, the Co-Pilot flags it and shows a clear error log in the UI, making it easy to review and fix issues.
End-to-End Automation
The Co-Pilot completes GL posting without manual input, supporting accuracy and reducing routine workload.
Scalable and Adaptable for ERP Variations
Supports different ERP systems by adjusting to their specific posting requirements. This helps ensure invoices are recorded accurately across tools like SAP, NetSuite, or QuickBooks.
KEY BENEFITS
Accruals Co-Pilot automates detection, posting, and reversal, wiping out month-end busywork; machine learning sharpens forecasts and audit trails; policy-aware configuration snaps into any ERP—cutting errors, risk, and workload in one stroke.
80%
Accrual processing cost
Co-pilot reports all accrued expenses using AI eliminating the need for manual accruals completely
<5%
Variance in accured Vs actual costs
Co-pilot identifies all expenses comprehensively for all type of scenarios through data using AI.
Human Errors
Accrual reversal
Month end closing pressure
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: GL Posting for Accruals
How does the Hyperbots Accruals Co-Pilot integrate with ERPs for GL posting?
The Co-Pilot uses Hyperbots Connectors to integrate with ERPs, automating invoice writing and GL posting through single-step or two-step processes, ensuring seamless and efficient data flow.
What is the role of read-back validation in the posting process?
After posting, the Co-Pilot reads back the data from the ERP and compares it with the intended entries, ensuring 100% accuracy and promptly flagging any anomalies for resolution.
Does the Co-Pilot ensure compliance with double-entry bookkeeping principles?
Yes, the Co-Pilot leverages the ERP’s built-in debit/credit mechanisms to ensure that all postings adhere to double-entry bookkeeping standards.
How are errors during GL posting identified and addressed?
Any discrepancies detected during validation are flagged, with detailed error logs provided in the Co-Pilot UI for stakeholders to review and resolve, ensuring transparency and accuracy.
Can the Co-Pilot adapt to different ERP systems and workflows?
Absolutely. The Co-Pilot is scalable and adaptable, designed to handle unique posting workflows of various ERP systems like SAP, NetSuite, and QuickBooks, ensuring seamless compatibility.
