Aipedia: Principal designers and building safety
AI can speed up competence screening, but Part 2A reg 11E requires reasonable steps and, on higher-risk buildings, a direct question about serious sanctions. A wrong match or missing record can undermine the client's competence declaration.
Part of: AI in principal design and building safety
In short
Under Part 2A reg 11E, anyone appointing a designer or contractor must take reasonable steps to confirm competence under reg 11F, and on HRB work must ask about serious sanctions in the previous five years. AI tools can summarise CVs, search records and score bidders, but they can mismatch names, overstate qualifications and leave no usable record. The client signs the competence declaration for HRB applications, so evidence must be reliable. Where individuals are screened, the Data (Use and Access) Act 2025 adds safeguards on automated decisions.
Before anyone is appointed to design or build under Part 2A, someone has to check they are competent. On higher-risk buildings that includes asking about serious sanctions. AI tools are being used to summarise CVs and company profiles, compare qualifications against a role description, search public records and news for enforcement history, and score bidders.
For a PD that appoints or recommends designers, or carries out client duties on a domestic project, these tools promise consistency and speed. The AI for principal designers overview puts this in context with other PD uses of AI.
Where screening involves individuals, the Data (Use and Access) Act 2025 s.80 replaced the UK GDPR rules on automated decision-making. A significant decision about a person made with no meaningful human involvement needs safeguards, including the right to make representations, obtain human intervention and contest the decision.
Illustrative scenario. A PD uses an AI tool to screen a shortlist of specialist façade designers for an HRB. The tool reports no sanctions for the preferred firm, having matched public records against a similarly named company. The firm had in fact received a relevant notice within the five-year window. The issue surfaces when the BSR queries the competence evidence, and the client looks to the PD for the cost of re-procurement and delay.
Other ways AI competence screening can fail:
If a client claims that a PD's negligent competence advice caused loss, PI would usually respond, subject to the wording and to the activity being within the declared professional services. Advice on appointments may be treated differently from design work in some wordings, so check. There is no statutory PI requirement for PDs. Apex's guide to whether CDM principal designers need PI explains why PI matters for the role.
Apex arranges PI for principal designers. A broker can check that advice on appointments and competence is within your declared activities and explain how your policy would respond.
Reg 11E requires the appointing person to ask the appointee whether a serious sanction has been imposed in the last five years and consider misconduct information. An AI search can supplement this but should not replace asking and recording the answer.
Yes, where personal data is processed. Data (Use and Access) Act 2025 s.80 sets safeguards for significant decisions made with no meaningful human involvement, so keep a person making the decision.
The client signs it under SI 2023/909 Schedule 1 para 1, confirming it checked appointees. The PD may help assemble the evidence, so accuracy of that evidence matters to both.
Keep the questions asked, the answers given, the sources checked, any AI output relied on and who reviewed it. That record shows the reasonable steps reg 11E requires and supports the client if the BSR queries competence evidence.
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