Audit Trail for Vendor Management
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 vendor onboarding, validation, invoices, and payment processing
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 a human, maintaining accountability for manual interventions.
Associated data points logged
Along with the action, relevant data points are captured, such as the name of the approver, comments, time for human action, and matching discrepancies information for AI.
Transparent workflow tracking
The audit trail provides a clear end-to-end view of the accruals' 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.
Spend optimization due to vendor rationalization
Co-pilot helps in spend reduction by consolidating suppliers, enabling bulk discounts, reducing administrative costs and improving procurement efficiency
Vendor onboarding effort
AI-enabled automation in vendor information capture and W-9 form verification significantly reduces vendor onboarding time by streamlining data entry, ensuring compliance, and minimizing manual errors.
Realtime status update
A vendor portal benefits vendors by providing real-time visibility into purchase orders, invoice processing, and payment statuses, enhancing transparency and trust
VALUE PROPOSITION
Why Hyperbots Vendor Management Co-Pilot?
Hyperbots Vendor Management Co-pilot streamlines vendor onboarding, identity verification, and collaboration while automating tasks like data uploads and real-time communication, ensuring efficiency, compliance, and transparency in vendor relationships.
Before and After Hyperbots Vendor Management Co-Pilot
FAQs: Audit Trail for Vendor Management
How does the Hyperbots Vendor Management 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 vndor onboarding, PO despatch, invoice processing, payment processing and remittance
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 payment?
The trail offers an end-to-end view of the invoice' 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.
