Maintaining Accrual Audit Trails
Records every action across automated and manual workflows to support traceability, compliance, and audit readiness.
Key Features
Comprehensive action logging
The Co-Pilot tracks every step, from identifying accruals to posting them in the ERP, providing a clear, detailed record of all actions taken.
Timestamps for each step
Each action in the audit trail is time-stamped, giving users a clear view of when every step was taken.
Human and AI actions differentiated
The audit trail clearly shows whether each action was done by a human or the Co-Pilot, helping maintain accountability and transparency.
Associated data points logged
Each action is recorded along with key details, like the approver’s name, comments, time taken for human actions, or any discrepancies found during matching, giving full context for every step.
Transparent workflow tracking
Gives a full, step-by-step view of how each accrual moves through the process, making it easy to spot delays, errors, or areas needing attention.
UI presentation with audit trail cards
Users can view each step in the process through easy-to-read Audit Trail Cards in the Co-Pilot interface. These cards clearly show what happened, when, and by whom, making it simple to track actions and stay informed.
KEY BENEFITS
Accruals Co-Pilot automates detection, posting, and reversal, wiping out month-end busywork; machine learning sharpens forecasts and audit trails; policy-aware configuration snaps into any ERP—cutting errors, risk, and workload in one stroke.
80%
Accrual processing cost
Co-pilot reports all accrued expenses using AI eliminating the need for manual accruals completely
<5%
Variance in accured Vs actual costs
Co-pilot identifies all expenses comprehensively for all type of scenarios through data using AI.
Human Errors
Accrual reversal
Month end closing pressure
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.
FAQs: Audit Trails for Accruals
How does the Hyperbots Accruals Co-Pilot maintain a detailed log of actions during the accrual process?
The Co-Pilot records every step in the accrual lifecycle, from discovery to ERP posting, creating a comprehensive audit trail that ensures transparency and traceability.
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 accruals?
The trail offers an end-to-end view of the accruals' journey, highlighting each step, identifying bottlenecks, and ensuring users can clearly track the status and history of accruals.
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 accrual process.
Ready to take the next steps?
Book a demo with one of our Financial Technology Consultants to get started!