Capture once. trust every report.

Why AI keeps handing
you garbage reports

Most assessors who tried AI on building data quietly gave up on it. The reports came back too unreliable to put in front of a client.
You'll see why that happens, and what changes when the capture underneath has a shared shape.

In 30 minutes you'll see:
Why AI building reports come back untrustworthy, and why it's almost never the model.
What a structured, visual capture actually looks like on site: photos auto-grouped by room, system and asset, no measuring, using the existing floor plan.
A live capture-to-reports demo: one site visit feeding an energy audit, a condition report, then EPC and BREEAM, with no re-surveying.
The independent view from SINTEF's ASSETS programme on why structure beats model choice.

Instant access

Watch full flow now

30 minutes. See the exact workflow.

Thank you! You can watch the webinar now!
The Hidden Reason AI Gives You Unreliable Reports – And How to Fix It | Autility
Oops! Something went wrong while submitting the form.

Instant access. 30 min. Live demo included.

Who this is for

Energy assessors and auditors handling compliance audits and assessments (DEA, NDEA);
Building surveyors buried in post-site admin;
Sustainability and technical directors chasing consistency across teams;
Asset, portfolio and compliance leads rebuilding the same evidence every cycle (MEES, EPC, ESG).

Those who capture the building visually on site save 10–15 hours per audit. Not because the AI finally got good. Because the data underneath finally has a shared shape, and every report draws from the same record instead of starting from scratch.

Watch the Demo →