Can AI produce property valuation reports?

Partly, and the useful version of this question is which part.

Where the time actually goes

Very little of a valuation report is the valuation. The figure and the reasoning behind it are the short section in the middle. Around it sits the property description, the location and market commentary, the comparables schedule, the assumptions and disclosures, and the whole thing arranged into whichever template the instructing lender insists on.

That surrounding work is largely mechanical, largely repeated, and it is where the hours go. It is also the part a valuer least wants to be doing at nine in the evening.

What software handles well

• Assembling the draft. Taking the inspection notes and the data already held in your systems and producing a populated first version rather than a blank template.
• Format switching. The same underlying work has to come out differently for each lender. Holding those formats centrally and generating the right one removes a genuinely tedious source of error.
• Completeness checking. Flagging that a required disclosure is missing, that a comparable has no date, or that a figure in the summary does not match the one in the body.
• Reading what arrives. Pulling structured information out of the instruction, title documents and search results rather than retyping it.

What it should not do

Form the opinion. The moment a system produces a figure the valuer has not independently reached, you have a document carrying a professional signature and a number nobody can fully explain, and the person who signed it is the one who answers for it.

The design rule we work to is that the system produces a draft and never a signed report, generated sections stay visibly marked as draft until a human accepts them, and the record shows what the system suggested alongside what the valuer changed. That audit trail matters more here than in most sectors, because the question that eventually gets asked is never whether the report was fast.

The honest grey area

Comparables selection. Software retrieves and ranks candidates perfectly well, but which comparables are genuinely comparable is a judgement, and a system that quietly narrows the set has influenced the valuation without anyone deciding it should. We build these to widen the shortlist and show the reasoning, then leave the choice where it belongs.

What it is realistically worth

Firms doing volume work for several lenders get the most out of it, because the repetition and the format switching are worst there. A one-off bespoke valuation has far less to gain. If most of your instructions come from a handful of lenders with fixed templates, that is the case where a system pays for itself quickly.