An honest comparison

PeriziaAI vs how everyone else does it

Manual reading, ChatGPT, generic document parsing tools. None of them were built for Italian CTU appraisals. Here is why that matters.

How it is usually done
Manual reading2–4 hours
ChatGPT20–60 min
Generic AI30–90 min
PeriziaAI
< 2 min
Structured data, every field linked to its source page and paragraph
The real problem

ChatGPT was not built for CTU appraisals

It is not a matter of intelligence. A general-purpose model simply does not know Italian legal-technical appraisal language. Here are the three problems you run into every time.

01

It tells you a story, not the data

ChatGPT gives you a natural-language summary, not a structured output with the fields you actually need: floor area, cadastral income, occupancy status, planning conformity. And the format changes every single time.

02

You have no idea where that number comes from

If you need to double-check a value, ChatGPT won't tell you which page it came from. You end up rereading the whole appraisal, and the time you thought you saved is already gone.

03

Your documents can end up in training data

Appraisals contain names, addresses, asset values. Uploading them to ChatGPT risks that personal data being used to train future models, a GDPR problem you cannot afford to ignore.

Feature comparison

Who does what, honestly

Yes Partial No

Manual reading

ChatGPT

Generic AI

Document AI

Textract, etc.

Built for CTU appraisals

PeriziaAI

Tempo per perizia (150 pag.)
2–4 ore
20–60 min
30–90 min
< 2 minuti
Estrazione strutturata dati
Citazioni pagina/paragrafo verificabili
Addestrato su perizie CTU italiane
Gestisce PDF scansionati (OCR)
Rileva incongruenze e flag critici
Zero prompt engineering richiesto
GDPR, dati non usati per training
Integrazione con gestionale aste

What you actually get

Same CTU appraisal, three different approaches. The result speaks for itself.

ChatGPT~30 min

The property is an apartment on the third floor of a well-maintained building. The estimated value is approximately €180,000. The appraisal notes some issues with cadastral conformity that could affect final price...

No page citedUnpredictable formatCannot be verified
Manual reading2–4 hours
Commercial surface87 sqm — p. 12
CTU estimated value€ 182,000 — p. 34
Floor3rd floor — p. 8
Occupancy statusVacant — p. 15
AccurateSlowDoes not scale
PeriziaAI< 2 min✓ Every field with a verifiable source
Commercial surface87 sqmp.12 §3
CTU estimated value€ 182,000p.34 §1
Floor3rd floorp.8 §2
Occupancy statusVacantp.15 §4
Cadastral conformity⚠ Discrepancyp.41 §2
PreciseSource cited for every fieldFlags problems automatically

PeriziaAI is built into Verisermo Aste, the management platform designed for agencies that live and breathe judicial auctions.

Curious how Verisermo Aste stacks up against Excel, generic CRMs and real estate software?

See the Verisermo Aste comparison

Questions we get asked a lot

Why does ChatGPT not work for CTU appraisals?

ChatGPT doesn't know the legal-technical language of Italian appraisals. It gives you summaries instead of extracting the data you need, won't tell you which page a value came from, and documents you upload can be used for model training, with real GDPR implications.

How long does it take to analyze an appraisal with PeriziaAI?

Under 2 minutes, even for 200-page appraisals. Compare that to 2–4 hours of manual reading or 20–60 minutes of back-and-forth with ChatGPT, with no guarantee you caught everything.

How do source citations work?

For every data point extracted, PeriziaAI shows you the exact page number and paragraph. Want to check something? You go straight to the source, no rereading the whole document.

Does it work with scanned PDFs?

Yes. PeriziaAI includes OCR tuned for Italian legal documents and handles low-quality scanned PDFs, the kind you typically find in court file attachments.

Is my data safe?

Yes. Every document is processed in an isolated environment, never used for model training, and deleted after analysis is complete. PeriziaAI is fully GDPR compliant.

Does it work with non-standard appraisal language?

Yes. The model was trained on a broad collection of CTU appraisals from courts across Italy, including documents with regional terminology, non-standard abbreviations, and the varied writing styles you find with private appraisers.

Try it on your next appraisal

Upload a real CTU appraisal and get structured output, every field linked to its exact source in the document, in under 2 minutes.

No commitment. The demo is free.