Automated process planning software uses AI to read engineering drawing data and generate manufacturing operation sequences, machine assignments, tooling requirements, and cycle time estimates — without manual engineering input. RouteAIM applies a manufacturing process knowledge library — spanning machining, fabrication, and assembly — to DrawAIM's Part Intelligence Record. The library encodes the process reasoning logic that experienced manufacturing engineers apply: feature-to-process matching, datum integrity sequencing, setup minimization, and tooling selection. The output is a complete routing sheet in your documentation format, ready for direct ERP import. Validated deployments achieve up to 70% reduction in process planning cycle time per new part.

Yes — equipment configuration is a core element of every RouteAIM deployment. During the AI Readiness phase of the Mirai Ops engagement, your equipment base, work center structure, approved tooling catalog, and cutting parameter standards are loaded into the process knowledge library. RouteAIM then generates machine assignments and tooling recommendations that reflect your specific shop capabilities, not generic manufacturing assumptions. Documentation output format is also configured to match your routing sheet standards for direct ERP import.

This is one of RouteAIM's most significant operational benefits. Process knowledge that currently exists only in the heads of experienced engineers — operation sequences for specific feature types, preferred tooling approaches, setup strategies — is encoded into the configurable process knowledge library during deployment. Once encoded, that knowledge is available to every engineer using RouteAIM, consistently applied on every part, regardless of who is on shift. The library is updated as process standards evolve, ensuring institutional knowledge accumulates in the organization rather than walking out the door.