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Alignment with the Building Safety Regulator

Building Control AI has been developed with a clear and deliberate objective: to support safer, clearer, and more transparent Gateway 2 submissions by aligning directly with the operational priorities and statutory role of the Building Safety Regulator (BSR).

This page sets out how the platform aligns with the BSR’s objectives, how it is intended to be used within existing regulatory workflows, and the ethical and governance principles that underpin its design. Building Control AI is not an approval system and does not automate statutory decision-making. It is a decision-support and assurance platform designed to improve the quality, clarity, and traceability of information presented for regulatory review.

Understanding the BSR's Role and Objectives

The BSR’s role at Gateway 2 is to ensure that higher-risk buildings are designed and documented in a way that demonstrates compliance with the functional requirements of the Building Regulations, supported by clear, coherent, and complete evidence.

Key objectives include:

  • Ensuring submissions are complete, coherent, and internally consistent

  • Improving the clarity and structure of evidence presented for review

  • Supporting transparent, auditable decision-making

  • Reducing avoidable clarification cycles caused by incomplete or conflicting information

  • Maintaining clear separation between regulatory judgement and industry responsibility

Building Control AI has been designed specifically to support these objectives without altering or bypassing statutory processes

Alignment with Existing Regulatory Workflows

Building Control AI is intentionally aligned to existing Gateway 2 submission and review workflows. It does not introduce a parallel or alternative regulatory pathway.

The platform enables the same evidence set to be:

  • Prepared incrementally during design development

  • Reviewed and validated by dutyholders and consultants

  • Presented for structured interrogation during regulatory review

This approach supports consistency across submissions while respecting the BSR’s established processes and expectations.

Crucially, the platform does not determine compliance. It supports clearer presentation and interrogation of evidence so that regulatory decisions can be made more efficiently and transparently.

Evidence Structure, Traceability, and Audit Trail

A core focus of the BSR’s Gateway 2 process is the ability to clearly understand:

  • What evidence has been provided

  • How it relates to regulatory requirements

  • Where gaps or inconsistencies exist

  • How professional judgement has been applied

Building Control AI supports this by:

  • Structuring documentation and drawings against defined evidence expectations

  • Highlighting gaps, inconsistencies, and missing elements across submissions

  • Maintaining a transparent audit trail showing how information has been reviewed and validated

  • Recording professional commentary, rationale, and responses where human judgement is applied

This supports clearer regulatory interrogation without replacing professional or statutory judgement.

Human Validation and Professional Accountability

Building Control AI has been designed on the principle that AI assists analysis, but humans remain accountable.

  • AI is used to support pattern recognition, completeness checking, and cross-referencing

  • All outputs are subject to human review and validation

  • Professional judgement, decisions, and rationale are recorded transparently

  • Automated compliance decisions must have human validation where generated

This approach aligns with the BSR’s emphasis on accountability, traceability, and professional responsibility.

Ethical Position and Governance Principles

The platform has been developed in line with the following principles:

  • Decision-support, not decision-making

  • Transparency over automation

  • Consistency without standardisation of judgement

  • Regulatory alignment over commercial optimisation

Building Control AI is designed to support better outcomes for all parties by improving the quality of information entering the Gateway 2 process, not by influencing regulatory decisions.

Regulatory Expertise Behind the Platform

Building Control AI has been developed by a Class 3 Registered Building Inspector currently working with the BSR to audit Gateway 2 applications.

This experience directly informs:

  • How evidence is interrogated in practice

  • Common causes of delay and clarification

  • How submissions can be structured more clearly without reducing regulatory rigour

The platform reflects real-world regulatory experience rather than theoretical process modelling.

Intended Use by the BSR and Associated Consultants

Building Control AI is intended to support:

  • Structured interrogation of Gateway 2 evidence

  • Consistent review across multiple submissions

  • Clear visibility of completeness and identified issues

  • Reduced reliance on repeated clarification caused by unclear or inconsistent documentation

The platform integrates into existing review processes and does not replace statutory roles or responsibilities.

Building Control AI has been developed with respect for the BSR’s statutory role and regulatory objectives. Its purpose is to support clearer submissions, more transparent review, and better-informed decision-making — while maintaining the clear boundary between decision-support technology and statutory authority. If you are interested in finding out more or would like to apply for early access to the software in a piloting phase of development please don't hesitate to reach out or apply through the following link.

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