Error and Anomaly Detection in finance leverage AI and ML to identify errors, mistakes, or unusual activity, as well as violations of internal policies, compliance rules, and accounting standards. These tools report anomalies and errors in real-time or via periodic batch processing, allowing users to take investigative or corrective actions on findings. These tools can be leveraged as on-premises, cloud-based or stand-alone solutions; or integrated with accounting and reporting systems (e.g., ERP). The typical users of these tools are risk management teams, fraud, and financial analysts, IT security teams, and compliance officers.
"Good audit sw "
We use Diligent Audit Management Software to streamline our audit process and overally improve the governance, risk management and compliance.
Competitor or alternative data is currently unavailable
See All Alternatives"A great AI tool to help you with your audits"
The software has helped out team out with out audits. The tool uses AI to help us not only conduct the audit, but plan it too.
"The new smart error and anomaly detection"
The product exceeded expectations, quite complete , agile and easy to use , continuous learning is maintained and a bit complex but fine
Competitor or alternative data is currently unavailable
See All Alternatives"Anomaly detection tool with complex UI "
Supervizor helped our organisation with real time insights that leads to optimise the processs, reduce cost and increase efficiency. It's also provide automated reporting that can detect anmalies.
Competitor or alternative data is currently unavailable
See All Alternatives"Unique fintech software"
it is unique software which helps in processing payments easily and quickly. it is unique in nature and analyzes big data hence data handling is also easy and smooth.