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Cast Consultancy, a firm of about 90 staff, rolled out an AI tool to check Building Safety Act Gateway 2 submissions and trained its project managers to use and question it.
The firm picked one document-heavy job: Gateway 2 submissions for higher-risk buildings, which pull together drawings and specifications. A supplier's AI tool looks for inconsistencies, missing information and possible compliance problems before anything goes to the regulator. Around 10 to 15 project managers took part in in-house sessions using real examples, covering how the tool handles data, when a person must validate its output, confidentiality and GDPR.
According to the report, staff gained confidence in using the tool and in judging its output, and their feedback to the supplier fed into improvements. It does not claim any time or cost saving.
No figures were given and the tool is not named, so the benefit is unproven. The firm stays responsible for every submission and AI output goes to no client unchecked. The account is self-reported, and some staff worried about their roles.
Paste into ChatGPT, Claude or another AI assistant and fill in the square brackets.
We prepare [type of regulatory or compliance submission] for [type of client]. Draft a checklist for reviewing a submission before it goes out, covering inconsistencies between documents, missing information and likely compliance issues. Then draft a short training note for staff on checking AI output and handling confidential client data under UK GDPR. A qualified [role] must review everything. Show me the drafts before anything is used.
Source: GOV.UK: AI upskilling supporting case studies (PDF) · Jun 10, 2026. Summarised in our own words; read the original for the full account.
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