AI-generated output is only as reliable as the information and assumptions behind it. Hallucinated facts, outdated data, unsupported conclusions and embedded bias can all creep into an analysis that isn't carefully reviewed. A Stanford University study found that even leading AI-powered professional research tools produced incorrect information in more than 17% of tested queries — and other platforms have hallucinated in over 34% of cases on comparable benchmarks.
A simple example makes the point: while reviewing an AI-assisted financial analysis template, our team found that the Return on Equity (ROE) formula it generated was incorrect. The output looked professional — the underlying calculation was simply wrong. Without human review, an error like that can quietly make its way into a report and a decision.
That's AI's core limitation: it predicts a likely answer rather than truly understanding the problem. So determining appropriate valuation multiples, assessing management credibility, evaluating transaction-specific risks, estimating control premiums, applying discounts for lack of marketability, and making the final call all still require human judgment. Two experienced analysts reviewing identical information can reasonably reach different conclusions, because they weigh growth prospects, competitive dynamics, management quality and risk differently — and that's not a flaw in the process, it's the process.
The reasonableness checks AI still can't do
Experienced valuation professionals routinely run checks that generic AI tools miss:
- Does the story match the numbers? A company projecting 30% annual growth in a mature industry growing at 5% deserves a harder look.
- Are the comparables truly comparable? Peers in the same sector can still differ sharply in risk profile, growth prospects, customer concentration and business model.
- Are the assumptions internally consistent? High revenue growth paired with minimal investment in people, working capital or capex often isn't commercially realistic.
- Does the valuation make commercial sense? Results should always be tested against market evidence, industry benchmarks and investor expectations.
- Has the source information been verified? AI-generated output should be checked against credible, primary sources before anyone relies on it.
- Have calculations and forecasts been validated? Even simple formulas can contain errors if no one checks them.
- Do the outputs align with market evidence? Valuations should be benchmarked against comparable transactions and public market data.
- Has professional scepticism actually been applied? Local market factors and company-specific circumstances need to be weighed before any conclusion is accepted.
These checks matter even more in markets like the UAE, where valuations frequently involve family-owned businesses, free zone entities, complex holding structures and related-party transactions. Assessing these properly requires local market knowledge and commercial context that generic AI tools simply don't have.
How CLA Emirates helps: This is where local presence matters. Our team combines AI-assisted efficiency with on-the-ground knowledge of UAE market structures, free zone regulations and family business dynamics, the context no off-the-shelf tool can replicate.
At CLA Emirates, we use AI to enhance efficiency, not to replace expertise. Every valuation we deliver combines:
- AI-assisted research and analysis to accelerate document review, comparable screening and first-draft reporting
- Independent human review of every AI-assisted output, with no exceptions
- Assumption validation and market benchmarking against real UAE and regional transaction data
- Local industry insight, including family business, free zone and related-party considerations specific to this market
- Professional judgment and accountability, with an experienced valuator standing behind every conclusion we sign
AI will keep making valuation professionals faster and more productive. But valuation is ultimately about making informed decisions and not just producing calculations. Judgment, commercial awareness and accountability remain uniquely human, and they remain at the centre of how we work.
AI can generate a valuation. Our professionals create confidence in it.
