The journey toward a fully data-driven audit that utilizes AI begins by first effectively leveraging automation and analytics in your audit workflow. A good example is identifying patterns in reasonably clean data that can be used to make useful predictions. Another is promoting continuous risk assessment, documenting each appropriately and then seamlessly updating the audit plan. Fact is, you will gain multiple efficiencies and learn as-you-go when you execute a data driven audit.

Our industry experts for this session include Mona Dickerson, National Assurance Director at CohnReznik, Chris Geno, Audit Manager at Saville Dodgen, and from Wolters Kluwer, Stefan Davis, Senior Product Manager and Andrea Hearn, Technology Product Manager. Join this discussion to learn:

• Why there’s no turning back from the data driven audit
• How risk assessment and analytics improve with this new approach
• What Wolters Kluwer technology helps

CPA firm audit partners, audit managers and audit staff interested in improving their audit quality and efficiency should attend.