AI for Process Engineering

AI for Process Engineering uses industrial AI to automate and accelerate manufacturing process planning, including the creation and update of MBOMs, process plans and work instructions. LEO, our Virtual Companion on the 3DEXPERIENCE agentic platform, works within your DELMIA manufacturing engineering workflows to reveal the manufacturing context, constraints and dependencies behind a change and perform repetitive MBOMs, process and instruction workflows. Your engineers remain responsible for reviewing, validating and releasing the results.

Traditional manufacturing process planning solutions help engineers define and manage MBOMs, manufacturing processes and work instructions, but often require extensive manual effort and reliance on individual expertise. AI for Process Engineering with LEO goes further by combining industrial AI, virtual twin context and enterprise manufacturing knowledge to automate repetitive tasks, accelerate engineering change management and generate manufacturing content. This significantly reduces engineering effort, shortens industrialization lead times and minimizes errors and rework, helping manufacturers bring new products into production faster, improve quality and scale expertise across plants and programs.

LEO follows the way your engineers already work:

1. Understand the change and its manufacturing impact.
2. Reuse relevant knowledge from previous products, programs or plants. 
3. Generate or adapt the MBOM for the new requirement. 
4. Generate or update the manufacturing process using applicable standards and policies. 
5. Create or localize work instructions for the target plant or workforce. 
6. Review, validate and release the manufacturing definition for production. 

Your data is hosted in the geographic region and cloud operating model selected for your service, based on your regulatory requirements, sovereignty expectations and sensitive data protection needs. Depending on the offering, this may include a private cloud, public cloud or dedicated cloud environment deployment.

The Virtual Companions’ intensive computations run in dedicated AI factories. All data exchanges are encrypted and protected through continuous network monitoring, identity and access controls and threat detection.

Where supported by the service architecture, data used for AI computation is processed transiently and not retained in the AI factory. These technical and architectural safeguards protect your data throughout its lifecycle. Applicable certifications and hosting conditions are specified for each service and region.

No. Your engineering data remains your property. Our Virtual Companions consult your patrimony (data, design rules, history) to assist you, but it is never used to train a shared model. If you choose to specialize a model with your data, the result lives exclusively within your own environment.

Unlike chatbots that reason from generic, public information, every result produced by LEO is grounded in your own product and manufacturing context: Your virtual twins, industry knowledge graph information, enterprise knowledge and know-how, historical industrialization data, engineering standards, industrial policies and existing manufacturing information. This gives LEO manufacturing-specific context rather than just generic intelligence.

Most importantly, even with LEO's assistance, you remain in control. LEO proposes and generates, while your engineers review, validate and release the final manufacturing definition.

Contact us through the form. An expert will evaluate your process engineering needs and determine whether a three-month, outcome-driven pilot program is right for you. Together, you’ll explore new AI capabilities, apply them to your own data and workflows and see their impact firsthand on your existing processes. Along the way, you’ll also build reusable assets — from examples and use cases to templates and scripts — that you can continue developing beyond the pilot program.