Audit Trails for PR/PO
Hyperbots Co-pilot maintains a detailed audit trail for every action taken by Al or humans during vendor management.
Key Features
Comprehensive action logging
The co-pilot records every action, from PR creation, approval, PO generation, approval, dispatch and closure.
Timestamps for each step
Every action in the audit trail includes a precise timestamp, ensuring clear visibility into when each step occurred.
Human and AI actions differentiated
The trail explicitly identifies whether an action was performed by AI or by a human, maintaining accountability for manual interventions.
Associated data points logged
Along with the action, relevant data points are captured, such as extracted fields, validation results, and matching discrepancies.
Transparent workflow tracking
The audit trail provides a clear end-to-end view of the invoice’s journey, helping users understand the steps involved and identify bottlenecks or errors.
UI presentation with audit trail cards
These trails/logs are presented to users in the co-pilot’s UI as audit trail cards, offering clear and accessible transparency for all actions taken.
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
VALUE PROPOSITION
Why Hyperbots Procurement
Co-Pilot?
Hyperbots PR/PO Co-pilot automates purchase requisition and order processes, including PR creation, approval workflows, and PO dispatch, ensuring efficiency, compliance, and seamless integration with ERP systems.
Before and After Hyperbots PR/PO Co-Pilot
FAQs: Audit Trails for PR/PO
How does the Hyperbots Co-Pilot maintain a detailed log of actions during the accrual process?
The Co-Pilot records every step in the procure to pay cycle like PR creation, modification, approval, PO generation, aproval, despatch and closure
Can the audit trail differentiate between actions taken by AI and humans?
Yes, the Co-Pilot explicitly identifies whether an action was performed by AI or a human, ensuring accountability and clarity for both automated and manual interventions.
What kind of data points are logged in the audit trail?
The audit trail logs key data points, including approver names, comments, human action durations, and AI-detected discrepancies, providing a complete context for every action.
How does the audit trail help users track the progress of PR?
The trail offers an end-to-end view of the PR' journey, highlighting each step, identifying bottlenecks, and ensuring users can clearly track the status and history of payments.
How are these logs presented to users in the Co-Pilot’s interface?
The Co-Pilot displays the audit trail as interactive Audit Trail Cards, making it easy for users to access and review detailed, organized information about every action taken during the P2P process.
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.
Ready to take the next steps?
Book a demo with one of our Financial Technology Consultants to get started!