Mortgage Brain Introduces AI Charter to Address Data Risks in Broker Technology
UK-based mortgage technology provider Mortgage Brain has launched its first AI Charter, establishing a formal framework for the responsible development and deployment of artificial intelligence in the regulated mortgage sector.
The initiative, led by CEO Zahid Bilgrami, is designed to address growing concerns around data security and governance as brokers increasingly adopt AI-powered tools. According to the company, many solutions currently used in the market rely heavily on third-party AI models—such as those from OpenAI and similar platforms—without offering full transparency over how data is handled.
Mortgage Brain warns that this “thin-layer” approach can expose sensitive client information to external providers that do not own or control the underlying infrastructure, raising risks around data privacy, compliance, and long-term cost management.
To mitigate these challenges, the AI Charter is built around four core principles: cost management, intellectual property and data sovereignty, consistency, and fit-for-purpose deployment. The framework emphasizes the importance of maintaining control over AI systems, ensuring that client data remains within secure, proprietary environments rather than being routed through third-party platforms.
A key focus of the charter is reliability in regulated processes. Mortgage Brain highlights the need for deterministic systems—where identical inputs consistently produce the same outputs—arguing that this level of predictability is essential for compliance in financial advice, and not always achievable with general-purpose AI models.
The company also advocates for a balanced approach to AI adoption, combining advanced machine learning with traditional rule-based systems where appropriate. This strategy aims to improve efficiency while avoiding unnecessary reliance on large, probabilistic models for tasks that require precision and repeatability.
In addition to the charter, Mortgage Brain has launched an online “AI Zone” to support brokers and lenders in navigating AI adoption. The resource hub includes the full charter, practical guidance on data handling and compliance, and tools to help professionals evaluate technology providers more effectively.
Bilgrami said the initiative is intended to bring greater accountability to procurement decisions in the industry, noting that while AI capabilities have advanced rapidly, critical questions around governance, cost, and data control have often been overlooked.
The launch reflects a broader shift in the financial services sector, where firms are increasingly seeking structured frameworks to ensure that AI adoption aligns with regulatory requirements, data protection standards, and long-term business sustainability.