Professional Judgment is Valuable in Ambiguous Situations
Valtech’s valuation specialist can outperform AI in situations where professional judgment, context awareness, and the ability to interpret nuance are essential. In many valuation exercises, the available data is incomplete, inconsistent, or contains anomalies that cannot simply be averaged away by an algorithm. Our specialist can assess whether a particular event, for example, a one-time loss (caused by pandemic), should be normalized or excluded from the analysis, applying informed discretion rather than relying solely on statistical patterns.
Another key advantage lies in understanding market psychology. Valuations are not purely numerical; they are influenced by how people—market participants—react to events. Our specialist can interpret the industry, market factors, and macroeconomic shifts in ways that AI, which is bound to its training data, may overlook. This ability is closely linked to applying context-specific assumptions. Every business has unique operational, legal, and reputational factors that shape its value. An experienced valuer can tailor discount rates, risk adjustments, and forecasting approaches to reflect these realities, such as giving special weight to the strategic alliances of a young startup, which might significantly reduce its perceived risk profile.
Rules and Standards
Professional valuers work under established standards, codes of ethics, and auditing expectations, and they must be able to justify their assumptions in detail. This accountability is vital when valuations are scrutinized in court, by investors, by regulators, or during an audit. AI can generate a valuation, but it cannot take responsibility for its methodology or defend its reasoning in a regulatory setting.
Integrating Qualitative Value Drivers
Furthermore, our valuation specialist is better at integrating qualitative value drivers, which are usually more critical for startups—such as the unique business concept, brand building potential, management capability, ESG performance, and cultural capital—into a valuation. These elements often defy purely quantitative measurement, yet they can be decisive in determining a company’s worth. Equally important is the ability to challenge data. AI typically accepts its inputs at face value, whereas an experienced specialist will investigate the source, reliability, and possible bias in the data, sometimes uncovering that seemingly comparable transactions are not comparable at all due to unusual circumstances.
Valuations are rarely the end of the conversation—they are a starting point for negotiations, strategic discussions. Our team can explain and defend our conclusions. AI can deliver numbers quickly, but it cannot easily build trust. For high-stakes cases, valuation remains as much an art as a science, and that valuation specialist can add value.
