Oversight’s Multimodal AI Framework
Our unique approach to AI
Oversight AI ties Deep Learning, Machine Learning, and Expert System together, enhancing the capabilities of each one to provide an overall risk calculation that dynamically combines all indicators, resulting in more precise, deeper detection.
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Deep Learning
Oversight’s Deep Learning engine uses AI- powered Computer Vision to analyze images, digitize text, including handwriting, and perform landmark detection so all relevant details are captured. Natural Language Processing (NLP) puts the data in context, allowing more accurate results, and supports hundreds of languages.
This powerful technology is applied to receipts, invoices, and other relevant documents to ensure financial data is accurate and matches electronic records. Oversight's Deep Learning system automatically scans 100% of these documents, detecting all risk. This saves time by allowing auditors to easily identify data errors, duplicate entries, policy violations and potential fraud.
Machine Learning
Oversight’s Machine Learning component utilizes supervised ML models that analyze tabular financial data with feedback and scoring based on human auditor actions. These models are trained on both anonymized global customer data but also prioritize customer-specific actions. This enables the highest immediate value, greatest fidelity, and most customer-specific analytics. These models are automatically re-trained each month against the latest data, enabling the engine to get continuously smarter and more accurate.
This Machine Learning component precisely identifies risk and reduces the amount of work that auditors need to take by automatically tuning the analytics to fit the customer’s policies and risk profile.
Expert System
Oversight’s Expert System component encapsulates the expertise of the top-performing policy, fraud, and forensic auditors from the top financial firms as well as best-run organizations. They provide out-of-the-box best-practice analytics which provide instant value, and are configurable via parameters to match a company’s policies.
Oversight’s Expert System analyzes 100% of spend and is equivalent to having an army of the best auditors identifying errors, waste, misuse, compliance violations, and fraud. This allows for very easy implementations, immediate value, deep risk detection and prevention.
Oversight AI's Global Risk Model
Our Global Risk Model is a suite of machine learning models trained on Oversight customers' data, which assess the risk associated with transactions. These models consider both transactional data (e.g., expense reports, invoices, etc.) and historical resolution data to identify potentially risky transactions, such as fraud, errors, or compliance issues.
Initially, the models are pre-trained using global data. Then, for each customer, they adapt to the customer's specific risk profile by analyzing their own resolution data.
Importantly, this analysis is based on entirely anonymized data, ensuring data privacy, and is not traceable to individuals or corporations. The models exhibit high accuracy levels ranging from 95% to 99% and continuously improve through automatic monthly retraining.
Safe
Isolated AI Analytics
The integrity of your data is our top priority. Each customer’s data is analyzed in their own environment, ensuring proprietary or sensitive information, like PII or trade secrets, is protected.
Accurate
No “Hallucinations”
Relying exclusively on Generative AI when performing audits can lead to inaccurate results and false information. These "hallucinations" waste time, reduce confidence in the auditing system, and can cause auditors to miss high-risk transactions. Oversight avoids this by using multiple AI methods to detect financial risk in the form of errors, misuse, compliance violations, and fraud.
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Integration made easy
Extend the power of Oversight AI to your ERP and finance systems. Oversight works with leading platforms, issuers, and networks to deliver seamless solutions.