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Jetbuilt launches system design tool for AV integrators

Recommend feature, powered by company's Jetbot AI engine, generates equipment suggestions, bills of materials and full project frameworks based on user-defined requirements 

Jetbuilt has launched Recommend, an AI-powered feature built on its proprietary Jetbot engine, designed to accelerate the early stages of AV system design for integrators.

Users can describe a project at a high level or define individual spaces – such as conference rooms or equipment racks – and Jetbot will suggest appropriate products, quantities and system configurations. The tool can generate a full bill of materials, apply labour and structure the project within the Jetbuilt environment in a single step. Jetbot prioritises products, brands and design methods already used within a firm’s historical projects, so recommendations align with established standards rather than introducing unfamiliar equipment.

Jetbot has been trained over three years on AV design practices, integration standards and product documentation, and has been used in live integration workflows to write scopes of work, generate system drawings and process service tickets. Recommendations are evaluated against a defined set of design rules, which Jetbuilt says can be applied hundreds of times within a single project to reduce common AI errors.

Once a recommendation is generated, users can refine it manually or by prompting Jetbot to make adjustments – swapping equipment, changing quantities or adding elements to specific spaces – without rebuilding the project from scratch. Recommend connects directly to Jetbuilt’s broader workflow, allowing integrators to move from AI-generated suggestions through to pricing, proposal generation and project management without re-entering data.

Paul Dexter, CEO and founder of Jetbuilt, said: “For many integrators, building the initial project framework is one of the most time-consuming steps of the process. Recommend allows teams to generate a baseline using the products and methods they already rely on, then refine it to meet the specific needs of the project.”

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