AI is reshaping the business valuation landscape, that is absolutely true. While fewer clients are coming to me for initial valuations, we’ve seen a rise in new clients facing two very specific situations:

1. “The AI valuation doesn’t feel right.” (Because AI struggles to grasp complex, edge-case business context.)
2. “Regulators/reviewers sent back a long list of questions about the valuation, and I can’t answer them with confidence. Perhaps regulators are also strongly empowered by AI. I don’t feel comfortable passing the questions to AI.”

We are still glad that people think of me (probably as a backup plan when using AI) when they face challenges with various valuation issues.

Compliance with standards like IFRS 13 (Fair Value Measurement) and IVS 105 (Valuation Approaches and Methods) requires professional judgment, contextual sensitivity, and clear audit trails.

That is why Valtech Valuation is actively pioneering targeted AI applications. Our goal is not merely to cut costs or automate routine tasks, but to elevate work quality and uncover deeper analytical insights:

  • Insight-Driven AI: We leverage customized AI platforms to stress-test complex scenarios, and enrich our data analysis.

  • Expert Governance: We apply human oversight to every model, ensuring every valuation is backed by sound economic logic and fully defensible before regulatory authorities.

This article is contributed by:

Max Tsang, CPA, CFA, FRM, MRICS, MStat,
Accredited in Business Valuation (ABV) by AICPA
China Certified Public Valuer (CPV)
Director of Valtech Valuation