Accruing for Services Received Without Invoices
Uses documentation and confirmations, like timesheets, SLA reports, and approvals, to automate accruals for pending service invoices.
Key Features
Service completion reports or milestone certificates
Tracks completed service milestones using vendor-provided reports or certificates to identify services rendered but not yet invoiced.
Signed work orders or time sheets
Captures time sheets or work logs submitted by contractors or service providers to record completed work that may still be awaiting invoicing.
Service Level Agreements (SLAs) and monthly service reports
Ongoing services like maintenance or cleaning are typically tracked through monthly service reports or SLAs, helping identify what’s been delivered but not yet invoiced.
Purchase Orders (POs) for services
Some services are covered by purchase orders that outline what’s included, how long it will take, and how much it will cost, making it easier to track delivery and billing.
Project management systems
For larger projects, progress and completion details are often tracked in project management tools, helping teams stay aligned on service delivery and billing.
Expense or budget manager confirmation
Department or budget managers can confirm when services have been delivered, helping ensure accurate and timely accruals.
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: Services Received but not Invoiced
How does Hyperbots Co-Pilot identify services received but not invoiced (SRNI)?
Hyperbots Co-Pilot integrates with various data sources—such as service completion reports, time sheets, SLAs, POs, project management tools, and manager confirmations—to detect completed services that have yet to be invoiced. This ensures that all rendered but unbilled services are captured as accruals.
Can Hyperbots Co-Pilot handle different types of documentation for SRNI accruals?
Yes. It’s designed to analyze multiple input formats, including milestone certificates, work orders, monthly service reports, and project progress logs, allowing it to adapt to a wide range of service scenarios and documentation types.
How does Hyperbots Co-Pilot ensure accuracy when determining the value of SRNI accruals?
The Co-Pilot leverages historical data, predefined rate cards, contract details, and PO terms to accurately estimate the value of services delivered, ensuring that the accrued amount reflects the actual economic obligation before the invoice arrives.
Can Hyperbots Co-Pilot incorporate approvals before posting SRNI accruals?
Absolutely. The system supports configurable approval workflows, allowing designated managers, department heads, or budget controllers to review and validate SRNI entries before they are accrued, ensuring compliance and internal controls are maintained.
Does Hyperbots Co-Pilot provide transparency into how SRNI accruals were determined?
Yes. Each SRNI accrual entry includes an audit trail, showing the sources used (e.g., a project milestone report or a manager confirmation), the logic applied to determine the amount, and any approval steps taken, providing complete transparency for audits and reviews.
How does Hyperbots Co-Pilot handle partial service completion scenarios?
The Co-Pilot can allocate costs proportionally based on milestones completed, time recorded, or percentage of project progress. This flexibility ensures that even partial service deliveries are accurately reflected as partial accruals.
What if the final invoice differs from the accrued amount determined by Hyperbots Co-Pilot?
If the actual invoice amount differs from the accrual, the Co-Pilot automatically adjusts and reverses any variance, maintaining accurate financial records and ensuring that no over- or under-estimations persist once the invoice is received.
