Live Q&A With DOKKA: How is AI changing recording keeping and reporting?

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Executive Summary

Video Title: Live Q&A With DOKKA: How is AI changing record keeping and reporting?
Format: Live Q&A with audience questions
Duration: ~1 minute
Speakers: Eric Edelstein (Co-founder, DOKKA), Omar Kleijer (VP of Product, DOKKA Close)

In this live Q&A session, the DOKKA team answered real-world questions from finance professionals about how to automate Accounts Payable and Financial Close workflows while maintaining control, auditability, and flexibility.

This video is part of the webinar “A Deep Dive Into Accounting Automation“. It is designed for CFOs, Controllers, AP Managers, and Accounting Ops teams looking to reduce close cycles, increase visibility, and move beyond spreadsheets.


How is AI changing record keeping and reporting?

With real-time automation, anomaly detection, and continuous updates, finance teams gain instant visibility into their data—no more waiting for batch processing. AI is making reporting faster, smarter, and more proactive.

Transcript

When it comes to record keeping, many activities can now be automated — whether through system interfaces or automatic data retrieval.

On the processing side, AI makes it easier to monitor unusual postings. For instance, if something falls outside a defined tolerance range, alerts can be triggered and reviewed right away.

Another significant change is that both reporting and transactional data are now available in real time. There’s no more waiting for batch runs or end-of-day updates. Instead, organizations have continuous, up-to-date visibility into their financial position — which is a major advantage.