MQube Partners with Brett to Scale Mortgage Marketing via Agentic AI

Mortgage technology firm MQube has integrated Brett’s agentic AI platform to overhaul its marketing operations. By deploying specialised AI agents for campaign planning and content creation, the firm aims to match the output of larger competitors while maintaining lean operations. For fintech leaders, this move signals a shift from basic productivity tools toward end-to-end AI-driven workflows.

What was announced

MQube is adopting Brett’s agentic AI platform to transform how its marketing function operates, focusing on the use of specialised AI agents to handle repetitive tasks and accelerate execution. The collaboration is designed to allow MQube to plan, create, coordinate, and review communications more efficiently. By integrating these agents into its existing workflows, the company aims to pursue more market opportunities and expand its presence without the traditional overhead costs associated with scaling a marketing department.

The platform works by supporting content creation and campaign planning while ensuring that MQube’s human teams retain responsibility for strategy, creative direction, and final decisions. This "human-in-the-loop" approach is particularly critical in the regulated mortgage sector, where accuracy and oversight are essential. The AI agents are tasked with reducing the time spent on administrative and repetitive duties, allowing specialists to focus on high-value creative work. Jennifer Harrison, Content Lead at MQube, noted that the technology helps the firm move from ideas to execution faster, which is vital when communicating complex technology to a specific market. The adoption reflects a broader industry trend where businesses are moving beyond individual productivity tools toward intelligent systems capable of supporting entire enterprise workflows.

"Our competitive advantage has always been our ability to move faster and innovate more effectively than businesses many times our size. We see enormous potential for AI to transform not just the products we build, but how we operate as a company."

Stuart Cheetham, CEO of MQube

The companies involved

MQube is a mortgage technology company that focuses on digitising the lending process to improve speed and efficiency for brokers and borrowers. The firm provides the underlying technology for MPowered Mortgages, a lender that utilises AI and data science to deliver faster mortgage offers. Stuart Cheetham serves as the Chief Executive Officer for both the technology provider and the lending arm, positioning the group as a tech-first challenger in the UK mortgage market. MQube’s platform is built to handle the complexities of mortgage applications through automation, aiming to significantly reduce the time-to-offer compared to traditional banking institutions.

Brett is an AI-powered marketing platform that specialises in agentic AI. Unlike standard generative tools, Brett’s technology is designed to manage entire workflows through specialised agents that can coordinate and review tasks. The company’s focus is on extending the capabilities of specialist teams, particularly within regulated industries where consistency and oversight are paramount. By providing tools that handle the heavy lifting of campaign coordination and initial drafting, Brett enables smaller, specialised teams to achieve the operational scale typically reserved for much larger enterprises.

What this means

This move highlights a maturing of AI adoption within fintech, moving past simple generative chatbots toward "agentic" systems that manage specific business outcomes. For the mortgage industry, which is notoriously burdened by slow processes and heavy regulation, applying AI to the communications layer is a logical step toward full-firm automation. The pressure is now on traditional lenders with legacy marketing structures; they risk being out-manoeuvred by leaner, tech-first firms that can produce high-quality, compliant content at a fraction of the cost. The key question for the sector remains how regulators will view the "human-in-the-loop" safeguards as these AI agents become increasingly autonomous in their execution.