On-Demand Webinar: Overcoming Three Persistent Challenges After AI Adoption in Due Diligence and Valuation - Practical Solutions for Error Control, Prompt Dependency, and Excel Transfer Disruption

DataSnipper has started on-demand distribution of a webinar video themed around the practical challenges of AI utilization in Due Diligence (DD) and valuation operations. While the use of generative AI is expanding, the reality is that issues such as 'how to control errors,' 'how to reduce the burden of optimizing prompts for each case,' and 'how to eliminate the work of transferring AI output results back to Excel' tend to remain in the field.

This video explains how to overcome these three barriers in line with practical DD and valuation scenarios.

Click here for details on the on-demand distribution.

[Background of the On-Demand Distribution]

In recent years, interest in AI utilization has been rapidly increasing in DD and valuation operations. Particularly in tasks involving reading large volumes of documents, extracting, organizing, and verifying necessary information within a limited timeframe, expectations for efficiency through AI are rising. On the other hand, there are many challenges in the field that cannot be solved simply by introducing AI.

For example, anxiety about errors regarding how much AI responses can be trusted, prompt dependency requiring changes in instruction methods for each case, and the manual workload of transferring AI output results back to Excel or work sheets are typical issues hindering practical adoption in DD and valuation. There are cases where, despite using AI, the burden of review and transcription remains, making the field more complex.

This video, based on these challenges, explains how AI should be positioned in DD and valuation practice, and how autonomous AI can support a series of accounting tasks. It is characterized not just as an introduction to AI trends, but by delving into which tasks and in what form AI is easy to implement in practice, and how to ensure reviewability and reproducibility.

[What You Will Learn in This Video]

- Three practical challenges that tend to remain after AI adoption in DD and valuation operations - Why error control, prompt dependency, and Excel transfer disruption occur - How autonomous AI can fill operational gaps that conventional AI could not easily bridge - How to consider AI utilization from the perspective of balancing reviewability and operational workflow

Click here for details on the on-demand distribution.

▶︎ Recommended for:

- Professionals in FAS, PE, investment banking, FA/brokerage firms engaged in DD and valuation operations - Those who have tried generative AI but feel challenges in practical adoption - Those looking to further streamline the processes of information extraction, organization, and verification - Those who want to advance AI utilization without significantly changing their current Excel-centric operations

[On-Demand Distribution Overview]

Video Title: 2026 Edition: AI Utilization in DD and Valuation Operations: The Emergence of Autonomous AI for One-Click Accounting Tasks

Distribution Format: On-demand

Viewing Fee: Free

Target Audience: Professionals in FAS, PE, investment banking, FA/brokerage firms engaged in valuation and due diligence

How to View: Please register from the page below

Registration URL: https://eu1.hubs.ly/H0vXRym0

Notes: Applications from competing companies may be declined.

About DataSnipper

DataSnipper is an AI-powered Excel add-in digital audit platform that automates document matching, data extraction, and workpaper creation in audit and accounting operations. It reduces checking time by up to 90% compared to manual work, simultaneously enhancing audit quality and speed. It is used by over 600,000 users in more than 175 countries worldwide, and in Japan, it is used by major audit firms and Sumitomo Mitsui Banking Corporation.

[Company Overview]

SwiftLink Inc.

Established by members with the aspiration to 'change the world.' Our philosophy is to support 'sales capabilities,' create opportunities for valuable products to be provided to the markets that need them, and become a strategic partner necessary for corporate growth.

Established: January 22, 2024

Representative: Representative Director Satoshi Tanaka

Location: Navi Shibuya V 3F, 5-5 Maruyama-cho, Shibuya-ku, Tokyo

Website: https://www.swiftlinkglobal.com/

Business: Support for Japanese companies expanding overseas, support for foreign companies entering Japan, approach and scouting of overseas startups, meeting facilitation, overseas sales, marketing support, startup growth support

DataSnipper B.V.

Founded in 2017 to solve the repetitive manual work and inefficient data processing challenges faced by those involved in auditing. The company's mission is 'to help make better decisions by quickly verifying trustworthy data.' To achieve this, it aims to enhance data reliability by clarifying data provenance and providing context.

Company Name: DataSnipper B.V.

Established: 2017

Representative: CEO Vidya Peters

Japan Head: Genki Sunayama

Location: Hikarie Office Tower 33F, 2-21-1 Shibuya, Shibuya-ku, Tokyo

Website: https://www.datasnipper.com/jp

Business Overview: Software development and operation

Contact for this matter:

SwiftLink Inc. (DataSnipper Office)

Email: [email protected]

Inquiry: https://www.swiftlinkglobal.com/contact-ja