Data Analytics Series
Automatically Write Your Audit Report With Python & Data
- Event Outline
Artificial intelligence is changing how audit work is performed—but auditors can get ahead of the curve by learning how to use it effectively. In this practical session, you will explore how Python and large language models (LLMs) can help analyze data and automatically draft audit findings and reports.
You will also learn how to create a process in which an audit report can be reviewed, updated, and regenerated throughout the audit as new data and human input become available—all while keeping the auditor’s professional judgment and oversight at the center of the process.
Learning Objectives
By the end of this session, participants will be able to:
- Demonstrate how to run an audit data test using Python.
- Explain how Python and an LLM can be used to generate a draft audit report from test results.
- Describe a process that allows auditors to review, update, and regenerate the report as the audit progresses.
- Event Date:
- October 21, 2026
- Event Time:
- 9:00am ET
- Duration:
- 50 min
Login or create free account to register for this event.
Attending is totally free for everyone and you will receive a certificate of completion with 1 CPE credit for engaging in this event. The slide deck and any hand-outs will be available in the Claire Worledge collaboration group for all Auditopia members. Please join us in the group to discuss Claire’s web classes, find out how to obtain her ASAP tool for extracting SAP data, and more!
You can network with other internal auditors interested in this topic and share your perspectives in the Data Analytics collaboration group.
This event is part of our Data Analytics series. For your convenience, you’ll only need to register once to get the Zoom link sent to your email for all events in the series. You can unsubscribe at any time.
- About Claire Worledge
Claire Worledge is a Certified Information Systems Auditor (CISA), Certified Fraud Examiner (CFE) and Certified ACL Data Analyst (ACDA). She spent 10 years working for Deloitte, managing the data analytics team. Claire also has a Masters in IT from University College London, as well as a Bachelors in Biochemistry.
In 2010, she created Aufinia, which is a consulting firm for 50 different companies that use SAP over the years. Today, a lot of their work is for MNCs using SAP who are based in Europe, APAC and the US. Aufinia also works for some major retail companies based in China. Aufinia is a global OEM partner with QLIK.
What are your questions and discussion points on this topic?
Event Expert
Recommended Self-Paced Courses
Claire, as an FCA, my biggest concern with auto-generating audit findings with LLMs is the ‘judgment dilution’ risk. Python flags the exception, the LLM drafts a finding that sounds authoritative, and a junior auditor copy-pastes it without challenging materiality or root cause. In your process for review, update, and regeneration – what hard control do you embed to force the auditor to document their professional skepticism BEFORE the LLM is allowed to regenerate the report? Louis Oyemike| Internal Audit Lead