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1040 Tax Prep Automation with AI Tools

Overview

There has never been a greater opportunity to leverage technology tools to automate various aspects of 1040 tax preparation. This course will provide specific examples of how you can use AI (artificial intelligence) based tools to complement your core 1040 tax prep software. You will learn how to leverage AI to automate the collection and organization of client source documents, enhance the engagement management process and add value to your 1040 service through AI enhanced 1040 advisory services. This course will separate the hype from reality about AI and how it can be used in 1040 tax preparation.

This event may be a rebroadcast of a live event and the instructor will be available to answer your questions during the event.

Prerequisites

None

Objectives

After attending this presentation, you will be able to...

  • Recognize specific ways to leverage AI technology in your 1040 tax preparation services.
  • Identify specific AI tools that can be leveraged to automate and enhance 1040 tax preparation services.

Highlights

The major topics that will be covered in this course include:

  • Overview of AI technology and how it works.
  • Identify where AI can be incorporated into the 1040 process.
  • Using ChatGPT and Microsoft 365 Copilot for 1040 tax research, analysis and communications.
  • Using StanfordTax AI based software to automate client source document collection and organization and integrate it with the leading 1040 tax software solutions including CCH Axcess, CCH ProSystem fx, UltraTax, Lacerte, ProSeries and Drake.
  • A roadmap for using AI to improve client communications and 1040 based advisory services.

Register Now

Materials are generally available 3 days in advance of an event. Once you have downloaded the manual, we are unable to cancel your registration.

Event Code:

WX50731

2 CPE Credits
Tax: 2 Credits

Registration

Member Price:
$89
Non-member Price:
$119

Registration is open through 03/04.

Tuesday, March 4th

12:30pm to 2:30pm

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Instructor

John Higgins