AI and intelligent automation

Artificial intelligence
in CAD.

Ask a clearer question. Explore a wider design space. Put repetitive work in context—while keeping engineering judgment at the center of the process.

Explore AI in the design workflow
Conceptual PTC illustration of a lightweight bracket connected to abstract design information.
GUIDANCE · EXPLORATION · REVIEWMore possibilities. Engineering in control.
Start with the engineering task

Where can AI help
in the CAD workflow?

AI adds new ways to ask questions, explore design alternatives and work with engineering information. In CAD, that can mean documentation-based guidance, assistance with model context or a search for candidate geometry within specified requirements. These are different tasks, with different inputs and limits.

A workstation displaying a generative component design in Creo.
Source PTC imagery · exploring geometry within a CAD environment.

A useful starting point is a real engineering question: what needs to be understood, explored or repeated? The answer helps distinguish a conversational assistant from an optimization tool or an established automation feature. The engineer still defines the problem and decides whether the result is suitable for the product.

Different mechanisms. A shared workflow.

Ask, explore or automate.
Know which tool fits.

AI, generative design and intelligent automation can support the same workflow without being the same technology. Knowing the distinction makes it easier to choose an appropriate tool and evaluate its output.

AI assistance

Ask for guidance or context.

Language-based assistance can help you find an explanation or interrogate supported model information. The available context matters: Creo Advise provides general guidance, while entitled Creo Assist can use the active model.

Generative design

Explore within engineering requirements.

Generative tools search for candidate forms using specified goals, materials, loads and manufacturing considerations. This is an engineering design exploration problem, rather than simply turning a written prompt into a finished part.

Intelligent automation

Apply an established method.

Rules, parameters and reusable design knowledge can drive repeatable CAD work. Behavioral Modeling, for example, varies selected parameters against a goal. Useful automation does not have to be a conversational AI feature.

Ask what the tool uses as input, what it produces and how you will review it. The label “AI” alone does not answer those questions.

Evaluate the outcome

What improves with AI?
Here’s how to measure it.

Evaluate the benefit against the task your team actually performs. A faster answer, a wider search and less repetitive setup are useful only when the resulting work remains understandable and reviewable.

Attention

Spend less effort finding the next step.

Documentation-based guidance can help an engineer locate a command or understand a workflow. Assess whether the answer is relevant to your Creo release and whether the referenced source resolves the question.

What to measure

Time from the initial question to a next step verified against the documentation.

Exploration

Consider alternatives before committing.

Generative design can broaden the geometry explored for a stated problem. Compare candidates under the same requirements, then examine the assumptions and manufacturing implications before choosing a direction.

What to measure

Number of viable alternatives under the same design and manufacturing requirements.

Resources

Investigate material and parameter choices.

Optimization can support a search for material-efficient geometry or a parameter set that meets a design goal. Any cost or sustainability conclusion still needs the relevant manufacturing, material and lifecycle evidence.

What to measure

Compare the chosen design metric, such as mass, with the baseline under the same constraints.

A bounded task. A reviewable result.

Automate the repeatable.
Keep changes reviewable.

Automation becomes useful when the task has a clear boundary. Established rule-driven tools use defined relationships; assistant-led changes add a permission and review step. Neither removes the need to understand what the model is being asked to do.

A practical pattern for evaluating automated work

  1. State the task

    Define the selected geometry, parameter range or question. Make the intended outcome explicit.

  2. Inspect the proposed work

    Check the tool’s interpretation, supported operation and assumptions before relying on the output.

  3. Review the result

    Compare the changed definition or candidate with the engineering requirements. Keep acceptance with the responsible person.

  4. Continue the CAD process

    Use the accepted result in the normal modeling, verification and release workflow.

Intelligent Automation Demo Video — Behavioral Modeling in Creo

Related PTC intelligent automation demonstration

See parameter-driven exploration in Creo.

This official PTC Behavioral Modeling demonstration shows an established intelligent automation approach. It illustrates goal-driven parameter work; it is not a demonstration of the Creo AI Assistant or a promise of autonomous design approval.

Read PTC’s AI and IA article
A field guide to the capabilities

Inside the CAD toolkit.
What can each capability do?

Match the capability to the job. Conversational assistance, design exploration and guided definition have different scopes. Availability depends on your release, entitlement and, for limited-access functions, participation approval.

A detailed mechanical assembly displayed in Creo.

The model and the question belong together.

A general usage answer, an active-model query and a design exploration each need a different kind of context. Start by identifying the information the chosen capability can use.

Selecting the relevant assembly, feature or parameter helps make the engineering question precise. Keep model identity and revision clear when reviewing information from any tool.

Explore product data management
Context and permission matter

Assistance in the design environment

General guidance

Creo Advise

Ask documentation-based questions about using Creo. Advise helps explain features and recommended practices without analyzing the active model.

Read the Assistant overview
Scope and review

Use the referenced guidance to navigate the task in your own release. Model-specific interrogation belongs to a different level of assistance.

Model-aware · confirm access

Creo Assist

Use supported model context, selections and the design environment to gather information or investigate a modeling question. Access depends on the applicable entitlement and participation approval where required.

Check access and scope
Scope and review

Confirm supported modes and data access for your environment before using model context in a workflow. The assistant does not determine whether a physical design is sound.

Controlled changes · closed beta

Assist automation

Current PTC Help describes automation as the execution layer of Assist, with modification permission off by default. Supported changes are reviewed and accepted or rejected by the user.

Review current limitations
Scope and review

This is not a separate Automate mode in the panel. Current limits exclude new-feature creation, text-to-model generation and running engineering analyses; check the latest supported operations.

AI and established IA

Exploration and guided definition

Candidate geometry

Generative design

Explore geometry from a defined design problem, including material and manufacturing considerations. Compare the alternatives against the goals that drove the study.

Explore PTC generative design
Scope and review

Creo GTO and GDX address different exploration scopes. Confirm the applicable extension and workflow; a candidate still needs engineering evaluation and refinement.

Parameter optimization · IA

Behavioral Modeling

Define design variables, allowed ranges and a goal, then use BMX to investigate feasible parameter combinations. Accept a result or use it as the basis for another study.

Explore PTC design optimization
Scope and review

This works with the relationships and measures in the model. The usefulness of the result depends on the problem setup, not simply on how many iterations the tool performs.

Guided product definition · IA

GD&T Advisor

Use guided geometric dimensioning and tolerancing to develop the model’s manufacturing and inspection definition. Keep the chosen standard and annotation context explicit.

Explore PTC GD&T guidance
Scope and review

Guidance supports the detailing process; the responsible engineering team still reviews the requirements and their suitability for the product.

Bring the capabilities back to your CAD environment. Confirm the tools and access that fit your team’s work.

Explore Creo
Progress with a clear reference point

What’s next for AI in CAD?
Prepare for it today.

The direction is toward assistance that understands more of the engineering task and can support a broader sequence of work. The practical question is what can be used responsibly in your environment now, and what remains a developing capability.

Conceptual illustration of a circuit-like brain representing future AI development.

Build a reviewable practice today.

Choose a bounded task, identify its inputs and agree how success will be judged. Keep the original design reference and record the decisions needed to accept the result. Good modeling and data practices remain valuable as assistance develops.

Keep product definition in view

Ask better questions about what comes next.

  • What model context can the tool use, and where is that information processed?
  • Which operations can it perform, and when does a person authorize a change?
  • Which release and access conditions apply to the proposed workflow?

Future capability descriptions are directions, not commitments to availability or delivery dates.

Check current Creo release and access guidance
Industry applications

Put AI to the test
on a real design task.

Choose an application with a defined engineering boundary. These examples describe evaluation starting points, rather than guaranteed outcomes or approval shortcuts.

Industrial machinery and mechanical assemblies.

Industrial Machinery

A bracket, fixture or machine subassembly provides a bounded place to investigate design alternatives or reusable parameter-driven work. Keep interfaces and manufacturing constraints with the study.

A practical starting task

Which component has clear loads, interfaces and a reviewable design goal?

Explore Industrial Machinery
Jet engine in an aerospace manufacturing facility.

Aerospace & Defense

Lightweight component exploration must sit within the project’s established engineering and configuration practices. Separate candidate generation from substantiation, verification and approval.

Evidence and responsibility

How will a candidate be assessed before it enters the controlled product definition?

Explore Aerospace & Defense
Precision equipment for electronic-component manufacturing.

Electronics & High-Tech

Mechanical packaging teams can start with a supported information-gathering task or a parameter study around an enclosure interface. Keep supplied component references and required clearances explicit.

Model context

What information must remain tied to the correct assembly and revision?

Explore Electronics & High-Tech
Artificial Intelligence in CAD FAQ

Before you try AI in CAD.
What should you check?

Practical questions about adopting assistance and evaluating the work it supports.

What should a first AI-in-CAD evaluation include?

Choose one bounded task and a known model or question. Agree the expected output, check the tool’s supported scope, and compare the result with a baseline your engineers can verify.

Is generative design the same as generating CAD from a prompt?

No. Generative design explores a defined engineering problem. Current Creo Assistant Help separately lists model generation from a written description among unsupported capabilities.

Can the assistant approve a design?

Treat an assistant response as input to engineering work. Physical suitability, verification and release decisions remain with the responsible team and its established processes.

Are all AI and IA capabilities included in every Creo package?

Do not assume universal inclusion. Assistant access, specialist extensions and limited-access functions have different conditions. Confirm the release, entitlement and proposed scope before an evaluation.

What should a team check before using model-aware assistance?

Confirm what context the tool can access, which modes are supported and the organization’s data-handling requirements. Keep model identity and revision clear when reviewing its output.

Where does intelligent automation fit if we are not adopting an assistant?

Established parameter-driven and guided CAD tools can be evaluated independently. Start with a repetitive task or design goal that your team can specify and review without relying on conversational assistance.

Your next CAD workflow

Which CAD task
should you tackle first?

Tell us what your engineers need to understand, explore or automate.
TriStar can help discuss a focused Creo evaluation around the model, the task and the access your team needs.

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