Audit Trails for Payments
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 payment creation, approval, rejection, payment, remittance and reconciliation
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.
10%
Cash outflow
Co-pilot optimizes payment timings and methods, analysing
payment terms, discounts, penalties and, cost of capital
Vendor satisfaction
Vendors have higher satisfaction as they know real-time status of invoice processing and payments
Auditability
Human Errors
Approvals
Reconciliations & Other KPIs
VALUE PROPOSITION
Why Hyperbots Payments
Co-Pilot?
Hyperbots Payments Co-pilot automates payment processing with features like timing recommendations, approval workflows, and multi-method support (ACH, checks, wire transfers), ensuring secure, efficient, and compliant financial operations.
Before and After Hyperbots Payments Co-Pilot
FAQs: Audit Trails for Payments
How does the Hyperbots Co-Pilot maintain a detailed log of actions during the payment process?
The Co-Pilot records every step in the payment cycle, including payment creation, modification, approval, remittance communication, reconciliation, and issue resolution.
Can the audit trail differentiate between actions taken by AI and humans?
Yes, the Co-Pilot clearly identifies whether an action was performed by AI or a human, ensuring accountability and transparency for both automated and manual tasks.
What kind of data points are logged in the payment audit trail?
The audit trail logs critical details such as approver names, timestamps, human action durations, payment modifications, and discrepancies flagged by AI, providing a comprehensive record.
How does the audit trail help users track the progress of payments?
The trail provides an end-to-end view of the payment process, tracking each step, highlighting bottlenecks, and allowing users to review the status and history of every payment.
How are these audit logs presented to users in the Co-Pilot’s interface?
The Co-Pilot displays audit logs as interactive Audit Trail Cards, enabling users to access detailed, organized information about every action in the payment process with ease.
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.
Designed by CFOs for CFOs
We worked with several CFOs to solve the right problems.
Hear what they have to say!
Ready to take the next steps?
Book a demo with one of our Financial Technology Consultants to get started!