MindBridge helps auditors, accountants, and financial professionals to become more efficient and profitable. From transactional risk assessment to organisational process improvements, users are provided with the AI-embedded tools, visualized analytics, and in-depth resources they need for stronger analysis, assessments, and advisory services.
MindBridge puts AI to work to help make auditors and financial professionals more efficient and confident in their work.
With its platform, you will:
MindBridge empowers more than 20,000 auditors and financial professionals around the world. Join them and start your journey toward complete financial integrity.
MindBridge is supporting Virtually Live and will be providing a live session and supporting content.
You don't need to be a data scientist to use AI in internal audit
16 June, 11:15-11:55 BST
Artificial intelligence and machine learning are blazing their way through the audit space. While regulators and some firms are still warming up to the idea, many of their peers are becoming more efficient, sustainable, and effective through technology. Specifically, AI and machine learning are giving auditing firms the ability to automate everyday tasks, and giving them time to focus on building client relationships, planning ahead, and taking deep dives into areas of concern.
But, while the benefits of AI-powered internal audits mount, many firms, and the auditors themselves, are still skeptical. They fear that these new technologies will require a depth of knowledge in data science and analytics that they simply don't have. Fortunately, as these technologies have developed, they have become much more accessible, user-friendly, and useful to the everyday user. All that is to say, you don't have to be a data scientist to use AI in internal audit.
This session will help you understand how to embrace technology, create an environment for change, and the value you can put back into your business using AI.
Speaker: John Colthart, SVP of Strategic Insights
John has held a series of roles with increasing responsibility at MindBridge and currently serves as Senior Vice President of Sales. Before joining MindBridge, John held leadership positions in brand management, product experience, and design at IBM, including as a member of the team that launched IBM Watson Analytics.
Prior to IBM, John was Vice President of Sales Operations for Clarity Systems, later acquired by IBM. John holds a bachelor’s degree in financial operations and accounting from Seneca College.
Speaker: Rachel Kirkhan, Director of Audit and Risk Analysis
Rachel is responsible for leading our data science work and our risk scoring approach. Prior to joining MindBridge, Rachel was the Head of Data Analytics Research at the UK National Audit Office, leading a team of data scientists and analysts in developing unique data analytics capabilities for financial audit.
Rachel is an ACA-qualified chartered accountant, holds an MBA from Imperial College, and acts as a subject matter expert for the ICAEW. She is also a forum member of the AI Public-Private Forum run by the Bank of England and Financial Conduct Authority.
An auditor can view themselves in many different roles, but up until recently ‘audit data analyst’ was not one of them. However, many auditors are beginning to leverage new audit technologies to streamline their analysis methods. Find out how auditors are using technology to sample less and discover more.
In this briefing paper, we’re offering a practical introduction to revamping your audit approach using MindBridge. You’ll learn how to integrate our AI risk discovery platform into your existing processes, while maintaining the effectiveness your auditing team is known for.
The explosion of remote work is one of the biggest shifts to come out of the COVID-19 pandemic. Social distancing rules and concerns of employee safety have forced many to settle into working from home. But what does that mean for the future of remote audit, and for the auditing software that makes it possible?
This video gives viewers a high-level view of the risk discovery marketplace, gaps, and why MindBridge matters. We then take a deep dive into the backend of our product to show you how it works, why it works, and what you need to get started.