Customizable Workflows for GL Coding in Invoices
GL coding workflows configured by rules, roles, and invoice criteria to support processing needs.
Key Features
Custom Field Support
The Co-pilot enables teams to add custom invoice fields based on their company’s specific needs or workflows. Example: A company can add "Project Code" as a custom field for tracking project-specific expenses.
ERP Connector Integration
Pulls in custom field values directly from the ERP, keeping data consistent and up to date without manual entry.Example: "Department Name" is automatically filled from the company’s ERP based on the vendor or cost center.
AI Extraction with Custom Training
AI models can be trained during setup to extract specific invoice fields based on your business requirements Example: Extracting a custom field like "Contract Reference Number" from an unstructured invoice format.
Reasoning for Field Population
When data is missing, the Co-pilot uses logic to fill in custom fields based on context from the rest of the invoice. Example: "Due Date" is inferred based on the invoice date and payment terms if it is missing.
Generalized Document Structure Handling
The system can work with different document layouts and formats, no need to update code when things look different. Example: Invoices from different vendors with varied layouts are processed while recognizing and filling custom fields like "Supplier Rating."
Flexible Configuration for Actions and Events
Custom fields can trigger specific actions or steps, helping teams shape the invoice process to fit their own ways of working. Example: An invoice with a custom "Approval Level" field triggers specific workflows based on the assigned level.
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.
