Can it track certificate expiry across a large portfolio?

Yes — that is one of the strongest cases for it. Expiry dates extracted at upload feed a renewal schedule with escalating alerts, which is far more reliable than a spreadsheet somebody maintains manually.

Is it safe for identity documents?

Extraction runs with encryption in transit and at rest, retention configured to your policy, and access logged. For right-to-rent and equivalent checks the system captures and files; the compliance decision stays with your staff.

What accuracy should we expect?

Clean native PDFs of a consistent format extract very reliably. Poor scans and highly variable layouts are harder. We benchmark on your actual documents before committing to a threshold, and the confidence scoring means low-certainty extractions get reviewed rather than silently posted.

Do we still need someone reviewing documents?

For a much smaller share. The goal is that your team reviews the exceptions rather than every document — which typically means a fraction of the volume, handled in seconds each rather than minutes.

Document AI · Real Estate

Document AI for Real Estate

Compliance paperwork is filed by hand and audited under pressure.

Tenancy agreements, certificates, identity documents, and inspection reports pile up across properties, each needing extraction, filing, and expiry tracking. Document AI captures the key fields, files against the property, and tracks renewal dates before they lapse.

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Per document: SecondsPer document
Field confidence: ScoredField confidence
Full trail: AuditedFull trail

Typical stack

Azure Document AI
OpenAI Vision
Python
Postgres
Queue Workers

Use cases

What this handles for real estate teams

Extract tenancy agreement terms, dates, and parties into your property system
Track safety certificate and licence expiry dates with automatic renewal alerts
Process identity and right-to-rent documents during applicant onboarding
File inspection reports and maintenance records against the correct property

Compliance documentation captured and tracked automatically, with expiries flagged well ahead.

Context

The real estate problem underneath it

Real estate runs on response time. The agent who replies first books the viewing, and the one who replies on Monday is usually competing for second place. AI systems close that gap by handling enquiry response, qualification, and scheduling the moment interest appears — including at 9pm on a Sunday.

Portal enquiries arrive in bulk and the first responder wins the viewing
Calls come during viewings, so a large share go to voicemail and never call back
Qualifying budget, timeline, and financing eats hours that could be spent selling
Viewing coordination between vendor, buyer, and agent is pure scheduling overhead

What we build

Inside a document AI pipeline

We design for the ninety percent and route the rest to people. Documents that extract cleanly and pass validation flow straight through. Anything below your confidence threshold, or failing a business rule, lands in a review queue where a person fixes it in seconds — and that correction feeds back into extraction quality.

OCR and layout parsing for scans, photos, native PDFs, and email attachments
Field extraction with per-field confidence scoring rather than all-or-nothing output
Validation rules that check totals, dates, references, and cross-document consistency
Human review queues for low-confidence extractions with single-screen correction
Straight-through posting into ERP, accounting, or CRM systems
Classification that routes each document type to the right pipeline automatically

Deliverables

What ships with the engagement

Extraction schema per document type agreed with your team
Accuracy benchmark measured on a sample of your real documents
Review queue interface for exceptions
Integration writing extracted data into your system of record
Retention and audit configuration matching your compliance requirements

FAQ