Jetbuilt, the global leader in AV project sales and management software, introduces Recommend, a new feature powered by Jetbot, Jetbuilt’s proprietary AI engine trained on thousands of audiovisual design practices, integration standards and product manuals. Recommend generates equipment suggestions and complete system starting points based on user-defined project requirements, streamlining the early stages of system design.
Recommend is designed to assist system designers. 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. Recommend can also generate a full bill of materials, apply labor and structure the project directly within the Jetbuilt environment. Recommend preserves user preferences, as Jetbot prioritizes products, brands, and design methods already used within a firm’s historical projects, ensuring recommendations align with established standards while allowing teams to scale output without introducing unfamiliar equipment into designs.
“For many integrators, building the initial project framework is one of the most time-consuming steps of the process,” said Paul Dexter, chief executive officer and founder of Jetbuilt. “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.”
Dexter added, “For example, a designer can prompt Jetbot with, ‘Take a previously designed conference system similar to one we created for a specific client last fall, but for the executive conference room, use a 98-inch display instead of the projector.’ Jetbot then builds out the system based on that prior design, adapting it to the new requirements in seconds. Jetbot isn’t redesigning the system from scratch, but it’s modifying an existing approach and rebuilding the project structure in seconds.”
For integrators, Recommend is designed to reduce the time required to build initial project frameworks. Tasks that typically involve manually selecting and entering dozens or hundreds of line items can be completed in a single step, allowing teams to move more quickly from concept to proposal. By automating repetitive setup work, Recommend helps reduce data entry, improve consistency across projects and increase throughput for engineering and sales teams.
Jetbot’s underlying capability differentiates the feature from standard recommendation tools. The system has been trained for more than three years on audiovisual design practices, integration standards and detailed product documentation and has been actively used to write scopes of work, generate system drawings and process service tickets across live integration workflows. Jetbot operates within a clearly defined set of design rules, which guide every recommendation, ensuring systems are built within real-world constraints rather than theoretical outputs. As Jetbot generates a design, it continuously evaluates and refines its work against these rules, sometimes hundreds of times within a single project, to eliminate common AI errors and improve accuracy. As a result, Jetbot delivers context-aware recommendations aligned with real-world system design requirements to help integrators adapt proven designs, avoid configuration errors and validate system completeness much earlier in the process.
Users can input project details such as room dimensions, intended use and system preferences. Jetbot processes this information to recommend configurations that reflect typical design approaches. Once a recommendation is generated, users can refine results either by manually editing the system or by prompting Jetbot to adjust the design, such as swapping one set of equipment for another, reducing or increasing device quantities, or adding elements like touch panels to specific spaces, allowing for iterative updates without rebuilding the project from scratch. Recommend supports global project inputs and room-by-room specifications, giving integrators flexibility in how they scope and build projects.
Recommend operates natively within Jetbuilt and connects directly to the platform’s broader workflow. Integrators can move from AI-generated suggestions to pricing, proposal generation and project management without re-entering data. Jetbuilt’s end-to-end workflow helps reduce errors, maintain data integrity and accelerate project timelines from design through execution. Recommend is designed to support firms managing increasing project volume with limited engineering resources. By reducing time spent on repetitive system setup, teams can focus on customization, client requirements and final system optimization.
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