Auditoria has created the industry’s first ERP-centric cognitive automation platform to automate tasks, analytics, and responses for simple and complex financial tasks, including AP Helpdesk, AP Invoices, AP Accruals, AR Helpdesk, and AR Collections.
Auditoria employs a Small Language Model (SLM), a corpus of specialized data for the domain of finance, accounting, and procurement in the Office of the CFO (oCFO). This compilation of proprietary, patented language model data has both structured and unstructured content including items from an ERP (vendors, POs, contacts, bills, payment info), plus invoice documents, remittance materials, emails, supplier records, and more.
This SLM uses artificial intelligence designed to understand and generate human-like text but is smaller in scale and yields more accurate results. It allows for a more fine-tuned and customized finance context as compared to the larger, more widely recognized models.
Auditoria combines the finance-data-rich SLM with multiple commercial and open-source LLMs to deliver a more balanced, task-specific performance for finance teams to accelerate operations and process finance data at break-neck speeds.
Auditoria connects to your ERP applications, collaboration systems, email systems, and other applications in your back office using simple, secure, and hardened APIs.
With a data abstraction layer built-in, Auditoria’s technology platform ensures universal data and object abstraction that supports a wide variety of ERP constructs including vendors, invoices, payments, ledgers, COAs, and more.
Once connected to your core applications, Auditoria introduces new powerful automation capabilities to streamline various finance office functions while operating on your data and reconciling it back into the systems of record, and ensuring it is always up-to-date.
Auditoria’s technology platform uses the industry’s richest Natural Language Technologies (NLT) semantic libraries, allowing non-technical finance business users to instruct the Auditoria SmartBots to perform a range of tasks and communicate to internal and external stakeholders, using natural language.
Auditoria’s NLT capabilities are built on top of an ephemeral cloud-native workflow engine that seamlessly scales across hundreds of thousands of nodes capable of executing various tasks concurrently in the finance office.
This workflow orchestration engine is purpose-built for corporate finance tasks, allowing for repeatable, error-free task execution while operating on actionable data from the financial systems of record, and reconciling these back to these systems once done.
Auditoria’s SmartFlow Platform also includes Intelligent Document Processing and Information Extraction Services.
These services leverage precise Optical Character Recognition (OCR) techniques, along with fuzzy-logic algorithms layered on top of the OCR processes, to allow for higher levels of precision and accuracy.
These services are leveraged for a wide-ranging set of documents from tax forms to invoices, lease statements, vendor and customer contracts within the back office.
Machine Learning (ML) algorithms detect incoming messages’ sentiment and intent, bringing in the human operator only when necessary.
Additionally, Auditoria’s SmartBots support bi-directional handover to human capabilities. They bring in the human operator for assistance and governance as needed. The human passes control back to the SmartBot to take over regular task processing, once they unblock or provide contextual support as required.
Auditoria’s ML capabilities are also present in analytical components, wherein SmartBots execute algorithmic forecasting activities and other predictive analytical tasks using cutting-edge ML techniques.
