Automated Field Capture for Procurement
Uses Co-pilot to extract and map key fields like vendor info, terms, and delivery dates from contracts.
Key Features
Seamless integration with extraction agent
Connects with the Extraction Agent to reliably capture key contract and SOW details, streamlining downstream processing.
Intelligent mapping to PR form fields
Automatically aligns extracted contract data with the relevant fields in the Purchase Requisition form, reducing manual effort and improving consistency.
Efficient autofill functionality
Uses mapped data to autofill the PR form, helping generate accurate requests faster and streamlining the procurement process.
Confidence-based highlighting system
Applies a color-coded system, green, yellow, and red, to show how confident the system is in each extracted or mapped field, making it easier to spot entries that may need attention.
User-friendly review and correction interface
Clearly marks fields that need attention, with built-in tools to review and correct information directly within the PR form, supporting accurate and compliant submissions.
KEY BENEFITS
Procurement Co-Pilot shrinks cycle times from request to purchase order, freeing teams from manual effort, delivering instant ERP-synced approvals, and giving finance teams real-time spend visibility for compliant, cost-effective purchasing.
80%
PO creation & dispatch time
Converts approved PR into PO automatically based on the company's templates. It can send POs automatically to vendors based on configurations.
5min
PR creation time
Co-pilot auto-fills most of the complex forms in ERPs and procurement systems by reducing the effort to 5 minutes
Auditability
Human Errors
Approvals
PO Closing & Other KPIs
Before and After Hyperbots PR/PO Co-Pilot
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: Automated PR Filling
How does the PR/PO Co-Pilot integrate with the Extraction Agent?
The PR/PO Co-Pilot seamlessly communicates with the Extraction Agent within the Hyperbots Agentic Platform, ensuring that all relevant information from contracts and Statements of Work (SOWs) is efficiently captured and made available for processing.
How does the PR/PO Co-Pilot map extracted data to PR form fields?
The Co-Pilot intelligently maps the extracted information to the corresponding fields in the Purchase Requisition (PR) form automatically, significantly reducing the risk of manual entry errors and ensuring data consistency.
What is the autofill functionality in the PR/PO Co-Pilot?
Once the data is mapped, the PR/PO Co-Pilot automatically fills the PR form with the extracted information. This automation accelerates the procurement process, allowing users to generate accurate PR forms quickly and effortlessly.
How does the Confidence-Based Highlighting System work?
The Co-Pilot assesses the confidence level of each data extraction and mapping process, highlighting fields in green for high confidence, yellow for moderate confidence, and red for low confidence. This visual cue helps users easily identify and focus on areas that may require manual review or correction.
What features does the PR/PO Co-Pilot offer for reviewing and correcting extracted data?
The Co-Pilot provides a user-friendly interface where highlighted fields (in yellow or red) prompt users to review and verify the extracted data. Users can make necessary adjustments directly within the PR form, ensuring all information is accurate and compliant before final submission.
Ready to take the next steps?
Book a demo with one of our Financial Technology Consultants to get started!