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The Future of Compliance is
AI Driven

An AI solution automatically tapping into all financial processes
generating real time insights and alerts of financial weaknesses

The Future of Compliance
is AI Driven

An AI solution automatically tapping into all financial processes generating real time insights and alerts of financial weaknesses

Our AI Risk Mining Technology

Datricks allows financial teams, in just 5 days, to visualize their process and detect potential risks.  It is our unique approach that connects ERP and other systems rapidly and then applies AI to give customers nearly unbelievable results. The smart algorithms developed by the Datricks team run across an organization’s financial data unveiling, identifying, evaluating, and prioritizing risks for the financial team allowing them to conduct root cause analysis to help mitigate issues rapidly. For growing companies planning an IPO or acquisition, Datricks provides a quick and affordable solution to deliver comprehensive financial and compliance reporting to the external auditor.

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Our ERP Partners

Our Technology Features

Connect

Datricks connects to ERPs systems extracting an unlimited amount of data from multiple systems regardless of the vendor in the cloud or on-prem.

Collect

Datricks unifies data from all sources correlating complex logs and data relationships and produces one comprehensive process model.

Detect

With Datricks, NO predefined models need to be set up. Datricks AI, identifies deviations and long tail variations automatically.

Manage

Datricks detects all process paths providing an accurate assessment of process deviations and visualizes the findings in a comprehensive and actionable dashboard.

Scale

Datricks creates an AS-IS state map and then measures on-going changes that may impact the business. The solution is easily scaled from one business process to many.

Automate

Datricks AI root cause analysis reveals the reasons for any deviation instantly and displays automatically anomalies discovered by our algorithm rather than predetermined by users.

Customers That Trust Us

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Group 4
As the auditing team of a leading global company, we understood that advanced data analysis can dramatically improve the efficiency of our Internal Audit process. Datricks proved to be the perfect partner in this journey. With their advanced Process Mining, AI and Continuous Auditing capabilities we were able to quickly find meaningful issues with substantial impact on the business, contributing to the continued success of ICL
Rami Bareket
Director, Head of Global IT Audit ICL Group
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Implementing critical controls in no time ( meeting SOX requirements)!
Datricks mapped controls that were never conducted in the past or were done manually allowing me and my team the ability to implement efficient critical controls in no time. Furthermore, Datricks also allows us to focus on areas in the process where we need to improve operationally and implement our strategy based on real insights at the same time as we ensure continuous compliance, decreasing audit cycles
Rina Greenberg
Netafim Ltd controller Finance
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In the changing world of digitization, an auditor is no longer expected to constitute only as a professional finance person, but also as a Data Expert or a Data Scientist, especially as the volume of information needed for an audit is much larger, the regulatory requirements for understanding business processes are significantly greater, and the expectation from clients is much higher. For this reason, technologies such as the Datricks solution provides, are so important as the AI solution gives greater added value to customers and auditors, while also shortening the process of understanding our clients and their risks, and thus making our services more precise and effective.
Lior Mistriel
Partner - Digital Audit, PwC Israel
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Datricks helped iRobot by showing process variances between regions in our global business; allowing us to prioritize efficiency opportunities and controls over business variations that were suddenly visible.
Brian Wueste
Head of Internal Audit at iRobot
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