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Technology

How AI Is Transforming Building Inspections in 2026

Dom Sherrett
A stylised inspector standing before a modern, geometrically simplified building, with abstract blue lines representing data flow and efficiency.

Building inspections have traditionally been a labour-intensive process. Inspectors walk a property with a clipboard, take photos, scribble notes, then spend hours back at the office compiling everything into a report. But in 2026, that workflow is rapidly becoming obsolete.

The Video-First Approach

The biggest shift in inspection technology is the move from static photo documentation to continuous video recording. Instead of stopping every few metres to take a photo and type a note, inspectors simply narrate their findings while recording video of the property.

AI-powered transcription services can convert spoken commentary into structured text in real time, with accuracy rates exceeding 95% even in noisy environments. This means the inspector's verbal observations become the foundation of the report automatically.

A stylised inspector observing a wall crack in a corridor, with abstract sound waves emanating from their mouth.

Automated Frame Extraction

Once the video is uploaded, AI systems can extract the most relevant frames — the moments where the inspector paused on a defect, pointed at water damage, or highlighted a compliance issue. These frames are automatically matched to the corresponding section of the transcript, creating a visual evidence trail without any manual effort.

Stylised building wall from which specific architectural details like a damp patch and loose brick are visually extracted and highlighted.

Complete building inspections 3x faster with AI

AnyInspect uses AI to transcribe walkthroughs, extract key findings, and auto-generate compliant inspection reports.

Report Generation with Large Language Models

Perhaps the most transformative application of AI is in report generation itself. Large language models can take the raw transcript and extracted images, cross-reference them against inspection schemas (such as PAS 79 for fire risk or HHSRS for housing hazards), and produce a structured, compliant report draft.

The inspector reviews and approves the AI-generated content rather than writing everything from scratch. Early adopters report cutting report writing time by 60–80%, allowing them to complete more inspections per week without sacrificing quality.

A stylised inspector observing a miniature, perfectly assembled collection of building elements, symbolising a structured report.

What This Means for the Industry

AI is not replacing inspectors — it is augmenting them. The professional judgement, site experience, and regulatory knowledge that inspectors bring cannot be replicated by technology. What AI can do is eliminate the tedious administrative work that currently consumes the majority of an inspector's time.

For property managers and housing associations, this means faster turnaround times, more consistent report quality, and ultimately better compliance outcomes. The future of building inspections is not about choosing between human expertise and artificial intelligence — it is about combining both.