man working on CAD software at monitor evoking SolidWorks and Windchill

For many engineering teams, SolidWorks is a powerful and familiar design tool. Paired with a simple Product Data Management (PDM) system it may seem like a complete solution. Files are checked in and out, revisions are controlled, and designers can work efficiently within their CAD environment.

But as products grow more complex and more teams become involved, many organizations discover that PDM alone isn’t enough. This is why a significant number of companies using SolidWorks ultimately choose Windchill for Product Lifecycle Management (PLM).

Understanding why requires looking at where PDM excels, where it struggles, and how PLM fits into the bigger picture.

The Common Assumption: “We Have PDM, So We’re Covered”

Most SolidWorks users begin their data management journey with a simple or native PDM solution. It’s a natural starting point:

  • It integrates tightly with SolidWorks
  • It’s relatively quick to deploy
  • It solves immediate file management problems

For engineering teams focused primarily on design, this often feels sufficient at first.

However, as organizations scale, product development becomes less about managing CAD files and more about managing relationships: between parts, configurations, changes, teams, suppliers, and downstream functions. That’s when the limitations of PDM begin to surface.

Where Simple PDM Starts to Fall Short

Simple PDM systems are excellent at controlling files, but not much else. They weren’t designed to manage the full lifecycle of a product across the enterprise.

Common challenges include:

Limited Cross-Functional Support

PDM is typically engineering-centric. Manufacturing, quality, service, and supply chain teams often lack meaningful visibility into product data or changes.

Change Management Beyond Engineering

Engineering Change Orders (ECOs) may be tracked in PDM, but coordinating approvals, impacts, and execution across multiple departments quickly becomes manual and error-prone.

Weak Downstream Visibility

Manufacturing and service teams may rely on exported BOMs, PDFs, or spreadsheets. This often creates delays and inconsistencies when changes occur.

Configuration and BOM Complexity

Managing product variants, options, and evolving BOMs across the lifecycle is difficult when the system is focused on files rather than product structures.

Limited Governance and Traceability

As compliance requirements grow, organizations struggle to trace decisions, approvals, and data across disconnected tools.

Why PLM Becomes Necessary as Companies Scale

The need for PLM doesn’t appear overnight. It emerges gradually as complexity increases.

Key drivers include:

  • Product complexity grows faster than file complexity: Managing relationships matters more than managing files.
  • More stakeholders need access to product data: Engineering is no longer the sole consumer of product information.
  • Regulatory and compliance pressures increase: Traceability, auditability, and controlled processes become critical.
  • Engineering decisions ripple downstream: A single design change can affect manufacturing, service, cost, and customer experience.

At this point, organizations need a system designed to manage the product lifecycle, not just CAD data.

Why Windchill Is Commonly Chosen for PLM (Even in SolidWorks Environments)

Windchill is frequently selected as the PLM backbone because it is CAD-agnostic and enterprise-focused.

Key reasons include:

  • CAD-agnostic architecture: Windchill supports SolidWorks alongside other CAD tools without forcing standardization.
  • Robust change and configuration management: Designed to handle complex, cross-functional change processes.
  • Enterprise BOM and product structure management: Supports multiple views of the product across engineering, manufacturing, and service.
  • Cross-functional integration: Enables collaboration across engineering, quality, manufacturing, and service.
  • Lifecycle governance: Windchill manages states, approvals, and traceability throughout the product lifecycle not just file revisions.

How SolidWorks and Windchill Work Together

In many successful implementations, companies with SolidWorks can simply replace their PDM with Windchill. They can also work together, each playing a specific role:

  • Simple PDM remains focused on:
    • CAD file vaulting
    • Check-in/check-out
    • Day-to-day design work
  • While Windchill is capable of the above, it can additionally manage:
    • Product structures and BOMs
    • Change processes and lifecycle workflows
    • Cross-functional visibility and governance

SolidWorks data participates in enterprise PLM processes without disrupting how engineers design. Each system does what it does best.

Common Use Cases for This Hybrid Approach

This combination is especially common among:

  • Companies growing beyond engineering-only workflows
  • Organizations with manufacturing and service complexity
  • Businesses building a digital thread across the lifecycle
  • Teams standardizing processes without forcing CAD changes

Rather than replacing tools, these organizations layer PLM where it delivers the most value.

Key Considerations Before Making the Move

Before introducing Windchill alongside SolidWorks, organizations should consider:

  • Where PDM responsibilities should end and PLM should begin
  • Who owns product data, processes, and decisions
  • How integration and governance will be managed
  • How users will be prepared for broader lifecycle visibility

Successful PLM adoption is as much about clarity and alignment as it is about technology.

Final Thoughts: Choosing the Right Tool for the Right Job

For many organizations, SolidWorks isn’t going away soon. It’s important to extend its value. By pairing SolidWorks with Windchill, companies enable their design teams to keep working in a familiar CAD environment while gaining enterprise-level control over product structures, change, and lifecycle processes. This combination allows SolidWorks data to flow seamlessly into broader product development workflows, giving organizations the governance and visibility they need as they scale without disrupting how engineers design.

By choosing the right tool for the right job, organizations gain lifecycle control, cross-functional alignment, and long-term flexibility, without disrupting how engineers design in SolidWorks.

Not sure how SolidWorks and Windchill should work together? An assessment can help clarify roles, integration points, and the right next steps for your product development environment. Use our checklist to see if an assessment can benefit your organization today!

Is Your Organization Ready for an Assessment?   Use this quick checklist to see if a product development assessment is the right next step.  

abstract image of person typing on keyboard of computer to pull files evoking choosing windchill

Selecting the right Product Lifecycle Management (PLM) system is a strategic decision that affects innovation, efficiency, and long-term profitability. For companies navigating product complexity, regulatory demands, and the pressure to innovate faster, PTC Windchill stands out as a proven, scalable PLM solution that connects teams, systems, and data across the entire product lifecycle. Looking to institute a PLM solution or switch to a new one? Here we answer some of the most common questions companies ask when evaluating Windchill, covering productivity gains, ROI, cost savings, and why it continues to lead the PLM market.

How does Windchill reduce product development time?

Windchill reduces product development time by connecting all product data, from CAD and BOMs to documents and workflows, in one centralized platform. This eliminates the inefficiencies of siloed tools, manual approvals, and redundant data entry. Engineering teams can collaborate in real time with automated workflows and version control. No more waiting for updates or chasing files. The result is faster design cycles, fewer delays between engineering and manufacturing, and shorter time-to-market for new products.

What is the ROI of implementing Windchill PLM?

Organizations that implement Windchill typically see measurable ROI through efficiency gains, reduced rework, and better change management. By creating a single source of truth for product information, companies cut down on wasted engineering hours spent searching for data or reconciling outdated files. Many manufacturers report ROI within 12–24 months as they reduce production errors and accelerate time-to-market. Beyond direct cost savings, Windchill’s ROI also comes from improved agility. This agility helps businesses innovate faster and respond to market changes with confidence.

How does Windchill improve efficiency and reduce rework?

Windchill’s built-in change management tools ensure that every update, approval, or revision is tracked and linked to the appropriate product data. This reduces the risk of teams working from outdated designs or incomplete information, a common cause of rework and scrap. Automated impact analysis shows how a proposed change affects related assemblies, documents, and manufacturing instructions. This visibility enables teams to make data-driven decisions, preventing downstream mistakes and significantly improving first-time-right performance.

What cost savings can companies expect from Windchill?

Windchill delivers cost savings by reducing operational inefficiencies and eliminating hidden costs associated with manual processes. By centralizing data and automating approvals, companies save hours of administrative work per project. The platform also helps lower production waste, warranty claims, and compliance penalties by ensuring every product is built to the latest approved specifications. Over time, these incremental savings compound, driving millions in reduced overhead and improved profitability for manufacturers with complex product lines.

How does Windchill support sustainability and innovation initiatives?

Sustainability starts with better data, and Windchill enables that by providing visibility across the product lifecycle, from design to disposal. By connecting engineering with sourcing and manufacturing, organizations can evaluate material choices, supplier impact, and end-of-life performance early in the design process. Its digital thread capabilities ensure decisions are based on accurate, real-time information, supporting initiatives like lightweighting, recyclability, and energy-efficient manufacturing. For innovation, Windchill integrates seamlessly with Creo and ThingWorx, creating a foundation for model-based design, IoT-enabled insights, and AI-driven optimization.

What KPIs can be improved by using PLM software like Windchill?

Windchill directly impacts key operational and business performance metrics. Engineering efficiency KPIs, such as time-to-market, design cycle time, and engineering hours per project, improve through automation and collaboration tools. Quality metrics like first-pass yield, change implementation time, and error rates also show measurable improvement. On the business side, KPIs related to revenue per product line, R&D cost efficiency, and compliance audit readiness all strengthen under a unified PLM environment that enhances data accuracy and visibility.

Why choose Windchill over other PLM systems?

Windchill’s edge lies in its balance of scalability, security, and openness. Unlike many competitors that require heavy customization, Windchill delivers out-of-the-box functionality aligned with industry best practices, making it faster to deploy and easier to maintain. It’s also the only PLM platform with DoD Impact Level 5 (IL5) accreditation, underscoring its commitment to security and compliance. Compared to solutions like Siemens Teamcenter, Windchill integrates engineering and manufacturing data within one platform, eliminating silos and enabling true digital thread continuity across the enterprise.

Is Windchill better for discrete manufacturing than other PLM platforms?

Yes. Windchill was designed with discrete manufacturing in mind, supporting industries such as aerospace, defense, automotive, electronics, and industrial machinery. Its robust BOM management, configuration control, and CAD integration make it ideal for companies managing complex assemblies and frequent product variations. While other PLM systems may split functionality between multiple applications, Windchill unifies design, production, and service data. This gives discrete manufacturers the precision and scalability they need to operate efficiently across global teams.

What makes Windchill unique in the PLM market?

What sets Windchill apart is its open architecture and deep integration with PTC’s broader digital ecosystem. It connects seamlessly with Creo for CAD design, ThingWorx for IoT analytics, and Vuforia for augmented reality. This enables manufacturers to move from design to production to service without data loss. Its cloud-first architecture offers flexibility for on-premise, hybrid, or SaaS deployment, giving companies control over scalability and compliance. Combined with continuous updates and built-in model-based engineering support, Windchill stands as the backbone of digital transformation in product development.

Can Windchill connect with ERP or MES systems?

Yes, Windchill’s integration capabilities allow it to connect directly with ERP (Enterprise Resource Planning) and MES (Manufacturing Execution Systems) to ensure complete synchronization between design, production, and supply chain operations. These integrations create a closed-loop digital thread, so when engineering makes a change, manufacturing and procurement see it immediately. Common connectors with systems like SAP and Oracle streamline data exchange and eliminate manual re-entry. This connectivity bridges the gap between engineering intent and manufacturing execution, enhancing agility, traceability, and operational efficiency.

Final Thoughts: Making the Case for Windchill

For organizations evaluating PLM systems, choosing Windchill means choosing scalability, security, and a connected digital future. It’s not just a data management tool. It’s a strategic enabler that reduces time-to-market, lowers costs, and aligns every function around accurate, accessible product information. With built-in integrations, industry-specific configurations, and world-class security certifications, Windchill offers unmatched value for manufacturers serious about operational excellence. Whether you’re modernizing legacy systems or launching a digital transformation initiative, Windchill provides the foundation to build faster, smarter, and more sustainable products.

Looking for the concrete value Windchill provides organizations? We created this guide, Quantifying PLM Value, to do exactly that.

See How Windchill Cuts Costs   Download the guide that quantifies PLM value and shows how Windchill lowers your total cost of ownership.  
abstract image of cog refreshing evoking change management in PLM

Modern product development moves fast. Designs evolve, supply chains shift, and regulatory requirements grow more complex. In this environment, managing product changes effectively isn’t just an operational necessity. It’s a strategic advantage.

Change management in PLM (Product Lifecycle Management) ensures that design modifications, manufacturing updates, and field adjustments happen in a controlled, traceable, and efficient manner. Without structured change control, teams face duplicated work, misaligned data, and costly errors that ripple throughout production.

That’s where PTC Windchill comes in. As one of the industry’s most powerful PLM platforms, Windchill provides the digital framework companies need to handle change systematically, connecting people, processes, and data across the product lifecycle.

What Does Change Management in PLM Encompass?

At its core, change management in PLM refers to the process of capturing, evaluating, approving, implementing, and tracking all product design and manufacturing changes. In Windchill, these are managed through a structured hierarchy of change objects, including Problem Reports, Change Requests, Change Notices, and Change Tasks. These govern every stage of a modification.

This structured approach ensures every alteration, no matter how small, is properly evaluated for impact before it reaches production. Engineers can trace how a change affects CAD models, bills of materials (BOMs), documentation, and service content—all within the same environment.

By embedding change management into the PLM platform, Windchill provides traceability, accountability, and visibility. This is the foundation of a connected digital thread across engineering, manufacturing, and service.

Common Challenges Companies Face with Change Management

Implementing change management in PLM isn’t just about adding new tools. It’s about changing habits, workflows, and expectations across the organization. Many companies start strong but struggle to maintain consistency as teams, systems, and product complexity grow. Recognizing these common challenges early helps organizations plan smarter and avoid costly missteps that can slow progress or derail adoption.

Many organizations recognize the importance of change management but struggle to execute it effectively.

Here are some of the most common pain points:

  • Inconsistent workflows: Changes are handled differently across departments or regions, leading to confusion and rework.
  • Disconnected systems: Engineering, manufacturing, and supply chain teams rely on separate tools with limited visibility into one another’s changes.
  • Undefined roles and responsibilities: Without clear ownership, approvals stall or critical details fall through the cracks.
  • Compliance and audit issues: Unrecorded changes or incomplete documentation increase risk, especially in regulated industries.
  • Change fatigue: Teams overwhelmed by unstructured processes lose efficiency and confidence in their tools.

These challenges highlight why many organizations turn to Windchill change management: to replace fragmented manual processes with a single, automated source of truth.

How Windchill Enables Effective Change Management

PTC Windchill simplifies and strengthens the change management process by integrating it directly into the product lifecycle. With configurable workflows and standardized change objects, companies can capture, evaluate, and implement changes with full visibility across teams.

Key Windchill capabilities include:

  • Configurable workflows: Tailor approvals and tasks to fit your organization’s engineering, manufacturing, or service requirements.
  • Linked data and impact analysis: Automatically identify which parts, documents, or assemblies are affected by a change.
  • Complete audit trails: Every change is recorded, time-stamped, and traceable for full accountability.
  • Digital thread connectivity: Ensure downstream teams—like manufacturing and service—receive accurate updates from engineering in real time.

With Windchill, change control becomes proactive rather than reactive—keeping your operations agile, compliant, and aligned.

Practical Best Practices for Implementing Change Management in PLM

Turning change management from theory into practice requires a structured, intentional approach. The goal is to create repeatable processes that everyone—from engineering to manufacturing—can follow with confidence. These best practices for Windchill change management will help your organization build a framework that’s scalable, transparent, and ready to evolve with your business needs.

To build a resilient and effective change management process, organizations should follow a structured roadmap:

  1. Assess your current state. Audit your existing change-control processes and identify bottlenecks or inconsistencies.
  2. Define your process owners and participants. Clarify who submits, reviews, approves, and implements changes.
  3. Standardize workflows. Configure Windchill change templates to align with your business structure and industry standards (such as CM2).
  4. Pilot before scaling. Test new workflows in one product line to validate results and gain user feedback.
  5. Engage cross-functional teams. Involve engineering, manufacturing, sourcing, and service early to ensure holistic adoption.
  6. Train and communicate. Equip teams with training and documentation to understand the “why” behind structured change control.

Successful change management in PLM requires both governance and culture—clear processes supported by consistent adoption and continuous improvement.

Benefits of a Well-Structured Change Management Process

A mature, well-designed PLM change management process doesn’t just make engineering changes easier—it transforms how teams collaborate and make decisions. By embedding structure, accountability, and visibility into every stage of the product lifecycle, organizations can move from reactive problem-solving to proactive innovation. The benefits extend beyond efficiency—they directly impact product quality, compliance, and customer satisfaction

When implemented properly, Windchill change management delivers tangible business value at every level of the organization.

1. Faster Decision Making

Standardized workflows reduce approval bottlenecks and allow for parallel review processes—accelerating design-to-production cycles.

2. Improved Data Accuracy

By managing all change data in a single PLM environment, teams minimize duplication and eliminate version confusion.

3. Enhanced Compliance and Traceability

Windchill automatically records every decision and approval, ensuring full documentation for audits and regulatory reporting.

4. Reduced Rework and Waste

Controlled processes prevent errors and miscommunication, saving time and material costs.

5. Stronger Collaboration Across Functions

With shared visibility, engineering, manufacturing, and service teams can align faster—closing the loop on the digital thread.

A mature PLM change control process isn’t just about efficiency—it’s about building trust in your data and confidence in every decision.

Frequently Asked Questions Around Change Management in Windchill

When evaluating change management in PLM platforms like Windchill, decision makers often want clear, practical answers about change control, collaboration, and compliance. The following answers address key considerations, helping teams see how Windchill creates a more structured, traceable, and efficient approach to product change management.

Does Windchill support change management and configuration control?

Yes, Windchill provides a complete framework for managing both change and configuration control across the product lifecycle. It uses structured change objects (Problem Reports, Change Requests, Change Notices, and Change Tasks) to ensure all updates are tracked, reviewed, and approved before implementation. Configuration control within Windchill links product data, CAD files, and BOMs so every stakeholder works from the latest, approved version. This structured governance helps prevent errors, improve data consistency, and ensure all teams stay aligned as designs evolve.

How does Windchill handle engineering change management?

Windchill’s engineering change management process captures, evaluates, and implements design changes through configurable workflows and standardized approval steps. Each change is linked directly to the affected parts, assemblies, drawings, or documents, creating a complete digital audit trail. Automated notifications keep engineering, manufacturing, and quality teams informed throughout every stage. This ensures changes are implemented efficiently, accurately, and with full visibility into downstream impact.

What are the benefits of using Windchill for change control?

Using Windchill for change control eliminates manual hand-offs and disconnected approvals that often slow production and introduce risk. The system accelerates decision-making with standardized workflows and automated routing, while maintaining full traceability for compliance and audits. Teams gain a single, authoritative view of each change, reducing duplication and version confusion. Ultimately, Windchill helps organizations respond faster to market demands without sacrificing quality or control.

How does Windchill improve collaboration between design and manufacturing teams?

Windchill bridges the gap between engineering and manufacturing by giving both teams real-time access to accurate, up-to-date product data. When a design change is approved, updates automatically flow downstream to manufacturing and service teams, minimizing miscommunication and rework. Shared visibility into BOMs, change status, and impact analysis keeps all stakeholders aligned. This seamless collaboration enables faster launches, fewer production delays, and stronger overall product quality.

Can Windchill track and document product revisions automatically?

Yes, Windchill automatically tracks every product revision and records who made the change, when it was made, and why. Version control is built into the platform, ensuring that only approved and released data is available for use in production or service. Historical versions are preserved for reference, enabling full traceability across the product’s lifecycle. This not only improves accountability but also supports compliance with industry and regulatory standards.

How does Windchill reduce manual work in the change approval process?

Windchill automates much of the change approval process through configurable workflows, notifications, and digital sign-offs. Instead of relying on spreadsheets or email approvals, teams can manage and approve changes directly within the PLM environment. Automated routing ensures each step moves efficiently to the right reviewers based on defined roles and business rules. This reduces administrative workload, shortens approval cycles, and eliminates bottlenecks caused by manual oversight.

How can Windchill help ensure product and regulatory compliance?

Windchill embeds compliance into everyday workflows by maintaining complete, time-stamped records of all engineering and manufacturing changes. It supports audit readiness through controlled documentation, approval tracking, and built-in reporting capabilities. Regulatory standards such as ISO 9001, FDA 21 CFR Part 820, and AS 9100 can be mapped directly to Windchill’s processes. This traceable, documented approach helps manufacturers meet quality requirements and demonstrate compliance with confidence during audits or inspections.

Getting Started: A Roadmap for Success

Building a successful change management in PLM foundation doesn’t happen overnight, but it starts with a clear plan. Whether you’re new to Windchill or looking to refine existing workflows, having a roadmap helps you move from disorganized change control to a well-governed, repeatable process. These key steps will guide you toward smoother adoption, stronger alignment, and long-term PLM success.

If your organization is still relying on email threads, spreadsheets, or informal approvals to manage engineering changes, now is the time to modernize. Here’s how to begin:

  1. Conduct a Change Management Readiness Assessment. Evaluate your current processes, tools, and team structure.
  2. Start with a Pilot. Implement change management in Windchill for one product or department before scaling enterprise-wide.
  3. Define Governance. Establish process owners, KPIs, and escalation paths.
  4. Integrate Systems. Connect PLM with CAD, ERP, and quality systems to maintain data consistency.
  5. Partner with Experts. Work with PLM specialists—like EAC Product Development Solutions—to configure, optimize, and sustain your Windchill environment.

EAC’s Change Management Workshop helps organizations document their current state, identify process gaps, and build an actionable roadmap to success.

Turning Change Into a Competitive Advantage

In today’s fast-moving manufacturing environment, change management in PLM is the cornerstone of operational excellence. It ensures that your organization doesn’t just react to change—but leads it with confidence, precision, and speed.

With Windchill, companies gain the tools and structure to manage change across the entire product lifecycle—creating a connected, compliant, and future-ready digital ecosystem.

Looking to streamline your engineering change process and strengthen your PLM foundation, but not sure exactly where to start? Check out our webinar Preparing for Change Management in Windchill to learn more!

digital graphic of a marker evoking preparing your PLM for AI success

Artificial intelligence (AI) is transforming how products are designed, manufactured, and serviced. From predictive maintenance to generative design and digital twins, AI has the power to accelerate decision-making and unlock entirely new business models.

But here’s the reality: without a strong data foundation, AI initiatives stall or fail. Studies show that most AI projects fail to deliver value because they rely on incomplete, inconsistent, or siloed data. For manufacturers, the source of truth for this data is Product Lifecycle Management (PLM).

PLM provides the foundation that ensures product data is accurate, contextualized, and accessible across the enterprise. In this blog, we’ll outline a practical readiness checklist for executives, explore the ROI of aligning PLM with AI initiatives, and share how leaders can turn readiness into competitive advantage.

The Strategic Imperative: Linking PLM to AI

Think of PLM as the digital backbone of your organization. It manages product information across the lifecycle—from concept and engineering to manufacturing, quality, and service.

AI, meanwhile, acts as the accelerator—turning that data into predictive insights, optimization opportunities, and smarter innovations. But AI is only as effective as the data it consumes. Without PLM ensuring integrity, context, and governance, even the most sophisticated algorithms produce unreliable results.

For executives, the takeaway is simple: success with AI isn’t about choosing the right algorithm. It’s about ensuring your product data is trustworthy, structured, and accessible. PLM makes that possible.

The Executive AI Readiness Checklist

To help leaders prepare, here’s a practical playbook for assessing readiness. Use these six checkpoints to evaluate whether your PLM can truly support AI-driven transformation.

1. Data Centralization

Ask yourself: Do we have a single source of truth for product data across engineering, manufacturing, and service?
If data lives in spreadsheets, departmental silos, or disconnected systems, AI will struggle to deliver value. PLM centralizes this information, ensuring every team operates from the same baseline.

2. Data Quality & Governance

AI depends on accuracy. Without strong governance—standards, version control, and access policies—data integrity is compromised. PLM enforces these rules, giving executives confidence that AI models are trained on reliable, compliant data.

3. Cross-Functional Alignment

AI is not an IT initiative or an engineering experiment—it’s an enterprise-wide transformation. Success requires alignment between engineering, IT, operations, and business leadership. Position PLM not as an engineering tool, but as a strategic enabler of business outcomes.

4. Integration & Ecosystem Readiness

AI thrives on connected ecosystems. Can your PLM integrate with IoT platforms, ERP, MES, and CRM systems? Are your data pipelines designed for scalability? Executives must ensure their PLM is not an isolated system but a central hub connected across the digital thread.

5. Talent & Culture

Technology is only half the equation. Do your teams have the skills to work with AI? Are employees data-literate and open to AI-driven workflows? Building a culture of adoption—where engineering collaborates with IT and data science—is critical to long-term success.

6. Compliance & Risk Management

Finally, consider regulatory, cybersecurity, and ethical implications. AI introduces risks around transparency, bias, and data security. PLM provides the governance framework to ensure compliance and traceability—protecting both your business and your customers.

By assessing these six dimensions, executives can identify gaps and create a roadmap that ensures PLM is ready to power AI initiatives effectively.

The ROI of Preparing PLM for AI

For executives, the question is always: What’s the business impact? Aligning PLM with AI initiatives creates measurable returns that go far beyond cost savings.

  • Faster Time to Market
    AI-enabled design, simulation, and testing can dramatically shorten development cycles. By leveraging PLM-managed data, companies can iterate faster, reduce rework, and bring products to market ahead of competitors.
  • Reduced Service Costs
    Predictive maintenance, powered by AI and fueled by PLM-managed service and IoT data, minimizes downtime and reduces warranty expenses. Digital twins further cut costs by enabling remote diagnostics and optimized field service.
  • Improved Product Innovation
    Generative design and AI-driven analytics expand innovation capacity. With PLM ensuring the right requirements, constraints, and performance data feed into AI models, organizations can explore more design alternatives without a proportional increase in cost.
  • Stronger Competitive Position
    Companies that prepare their PLM for AI move faster, adapt more quickly to market shifts, and capture market share. They become more resilient and innovative in industries where speed and agility define success.

Simply put, PLM-readiness is not just an IT investment—it’s a growth strategy.

Executive Next Steps: Building the Roadmap

Preparing your PLM for AI doesn’t require an all-or-nothing approach. Executives can start small and scale over time.

  • Start with high-value use cases. Identify opportunities that align with corporate goals, such as predictive maintenance or faster design cycles.
  • Assess PLM maturity. Evaluate how well your current systems manage data centralization, governance, and integration.
  • Invest strategically. Prioritize PLM upgrades, integrations, and digital thread initiatives that create measurable business outcomes.
  • Partner wisely. Collaborate with providers who understand both PLM and AI strategy to accelerate progress.

By approaching readiness as a strategic initiative rather than a technical project, executives can future-proof their AI investments while demonstrating clear ROI.

Turning Readiness Into Advantage

AI is redefining competitiveness in product industries—but only for organizations that have the right foundation. PLM provides that foundation by centralizing, contextualizing, and governing product data across the lifecycle.

Executives who align their PLM strategy with AI readiness unlock faster innovation, reduced costs, and stronger market positions. The time to act is now. See where your own product data stands with our Business Assessment. We’ll help you identify gaps, inefficiencies, and readiness for digital transformation.

Gain a clear view of how structured PLM can set the stage for scalable AI success.

Executives across industries are pouring resources into artificial intelligence (AI), hoping to transform product development, manufacturing, and service. Yet, despite the hype, most of these projects never deliver on their promise. In fact, studies consistently report that up to 80% of AI projects fail to generate business value.

Why? It isn’t usually the algorithm’s fault. The root cause is something far more fundamental: data. Specifically, the lack of clean, structured, and contextualized product data.

Think of AI as the brain. Powerful, capable, and adaptive. But a brain can only act on the signals it receives. That’s where Product Lifecycle Management (PLM) comes in. PLM is the nervous system—the structured network that captures, organizes, and feeds reliable information into AI systems. Without it, AI in manufacturing and product development is built on shaky ground.

The Promise of AI in Product Development

Business leaders have high expectations for AI. From the boardroom to the shop floor, the vision is consistent:

  • Faster time to market through automated design exploration and simulation.
  • Lower costs by optimizing manufacturing processes and reducing service expenses.
  • Better customer experience with more reliable products and predictive service models.
  • Greater innovation capacity with generative design and digital twin simulations.

In manufacturing, the potential of AI is especially compelling. Predictive maintenance can reduce downtime by up to 30%. AI-driven scheduling can maximize throughput without additional capital expense. Digital twins (virtual replicas of products and systems) can help engineers anticipate performance issues long before physical prototypes are built.

The promise is real. But the path is filled with risk. Too often, organizations chase these outcomes without first addressing the foundation: their product data.

Why AI Fails Without PLM

Despite big investments, many AI initiatives stall or collapse because the underlying data is incomplete, inconsistent, or scattered across silos. Consider a simple example:

A customer support chatbot designed to answer product questions. If the bot’s knowledge base only contains marketing descriptions but not the latest engineering specifications, it will inevitably give wrong answers. Or imagine training a predictive maintenance algorithm on machine data that isn’t tied back to specific product configurations. The results will be unreliable at best—and misleading at worst.

AI without PLM is like trying to build a skyscraper on sand. No matter how strong your construction materials, the foundation won’t hold.

The problem lies in how product information is typically stored. Engineering drawings live in CAD tools. Bills of materials are locked in ERP systems. Manufacturing instructions sit in MES. Service records and technical publications often exist in entirely separate repositories. AI systems fed on these fragmented, unstructured datasets can’t produce accurate insights.

Worse, without a structured digital thread connecting data across the product lifecycle, there’s no way to maintain traceability. In regulated industries—like aerospace, automotive, or medical devices—this isn’t just inefficient. It’s a compliance risk.

PLM: the Backbone of AI Readiness

This is where PLM for AI comes into play. A modern PLM platform does more than manage CAD files. It serves as the single source of truth for all product-related information, spanning:

  • Designs, parts, and assemblies
  • Engineering change orders and requirements
  • Manufacturing processes and instructions
  • Service documentation and field data
  • Technical publications, compliance records, and testing results

By centralizing this data, PLM creates a structured, contextualized foundation that AI can trust. Every piece of information is tied to its source, version-controlled, and connected across the product lifecycle.

In practice, PLM acts as the digital backbone that feeds AI systems:

  • PLM (designs, requirements, service records) → 
  • Digital Thread (context, traceability, connections) → 
  • AI / Machine Learning (predictive models, generative algorithms, simulations) 

The result? Instead of acting on fragmented inputs, AI systems gain access to accurate, contextualized product data. This allows companies to realize the true potential of AI in manufacturing—whether that’s predictive maintenance, smarter design automation, or faster regulatory approvals.

Roadmap to Success

Preparing your organization for AI isn’t about jumping into the latest algorithm. It’s about laying the right PLM foundation. Here’s a practical roadmap for executives:

  1. Clean Up Product Data
    • Audit existing sources. Eliminate duplicates, outdated versions, and unstructured repositories.
  2. Connect Core Systems
    • Integrate PLM with ERP, MES, CRM, and IoT platforms. Create a continuous flow of information.
  3. Enable the Digital Thread
    • Establish traceability across the lifecycle—linking requirements to parts, test results, and service records.
  4. Prepare Data for AI
    • Structure and contextualize product data so it’s machine-readable and reliable.

With this roadmap, quick wins become possible:

  • Predictive Maintenance: AI trained on PLM-managed product data and IoT sensor streams can anticipate equipment failures and reduce unplanned downtime.
  • Generative Design: Engineers can leverage AI tools that draw from validated PLM data (materials, constraints, performance history) to explore optimal product configurations.
  • Compliance Automation: AI models can scan PLM-managed documentation to flag compliance risks, reducing the burden of audits.

These examples show that AI’s promise in manufacturing isn’t futuristic—it’s happening now. But only for companies that take PLM seriously.

If You’re Serious About AI, Start With PLM

AI has the power to revolutionize product development and manufacturing. But the statistics don’t lie: most AI projects fail to deliver value. The missing link isn’t more advanced algorithms—it’s structured, reliable product data.

PLM provides that foundation. By serving as the single source of truth and enabling a connected digital thread, PLM ensures your AI initiatives are built on solid ground.

If your organization is serious about AI, it’s time to assess your PLM maturity. Start by cleaning up product data, connecting systems, and enabling traceability. Not sure where to start? See where your own product data stands with our Business Assessment. We’ll help you identify gaps, inefficiencies, and readiness for digital transformation.

In the fast-evolving world of digital product development, companies are increasingly turning to Windchill for its powerful Product Lifecycle Management (PLM) capabilities. However, to truly unlock Windchill’s potential, it’s essential to understand the various services that support its implementation, performance, and long-term success. Whether you’re starting a new deployment or optimizing an existing system, PLM services and expert PLM consulting help manufacturers ensure Windchill delivers business value beyond technical installation. From installation and configuration to ongoing maintenance and support, these ensure your PLM system is optimized, secure, and aligned with business objectives.

Why Windchill Services Matter

Implementing and maintaining a PLM system like Windchill isn’t just a one-time task. It’s an ongoing commitment to system reliability, efficiency, and performance. Without expert support and regular maintenance, businesses risk facing system downtimes, data inaccuracies, and delays in product development. Windchill services are designed to minimize these risks while maximizing the return on your PLM investment.

Core Components of PLM Services

Windchill services are made up of several core components that work together to ensure your PLM environment is strategically implemented and continuously optimized. Each of these services plays a crucial role in supporting the success, scalability, and security of your Windchill system.

1. PLM Implementation Planning

Successful PLM implementation starts with a solid strategy. Services in this stage focus on aligning Windchill capabilities with your organizational goals, ensuring a smooth rollout that meets your technical and business requirements.

2. Installation & Configuration

Whether you choose an on-premise or cloud deployment, professional PLM support ensures that your environment is installed correctly and configured to support scalability, security, and performance from the beginning.

3. Windchill System Maintenance & Support

System maintenance involves routine health checks, patch updates, bug fixes, and performance optimization. Regular maintenance reduces system disruptions and ensures ongoing compliance with evolving industry regulations.

Why IT Departments Shouldn’t Go It Alone

Many companies rely on their internal IT teams to manage PLM systems like Windchill. While IT is essential to infrastructure, managing PLM requires specialized knowledge in product development, CAD integrations, and lifecycle management. Overburdening IT with Windchill responsibilities often leads to delayed upgrades, missed opportunities for optimization, and increased total cost of ownership.

By leveraging dedicated PLM service providers, companies gain access to expert-level support, faster problem resolution, and proactive system management.

Advanced Windchill Services for Growth and Innovation

Beyond foundational implementation and maintenance, advanced Windchill services enable businesses to fully capitalize on their PLM investment. These services focus on enhancing system capabilities, user adoption, and integration across the digital enterprise, driving long-term growth and innovation.

Data Migration & System Integration

Merging legacy data into Windchill and integrating with systems like ERP or CAD requires technical precision. Professional services ensure clean, accurate data transitions and seamless integrations that support end-to-end digital thread visibility.

User Training & Change Management

A successful Windchill deployment hinges on user adoption. Windchill services often include customized training programs, documentation, and change management strategies to help teams fully utilize the platform.

Customization & Extension Development

Businesses often need to tailor Windchill to meet specific industry or organizational needs. Expert services can create custom extensions, dashboards, and workflows that enhance usability and functionality.

The Business Value of PLM Consulting

Beyond maintaining system performance, professional Windchill services contribute directly to business outcomes. With the right partner, organizations can achieve better product quality, faster release cycles, and streamlined regulatory compliance.

Utilizing expert Windchill services leads to significant business advantages:

  • Reduced downtime and increased system performance
  • Faster time-to-market for new products
  • Lower costs through automation and optimized processes
  • Improved product quality through better collaboration and control
  • Enhanced compliance with regulatory requirements

Windchill support services also ensure your PLM system evolves with your business, rather than holding it back.

How to Choose the Right Windchill Services Provider

Choosing the right Windchill services provider is critical to achieving a high-performing and future-ready PLM system. The ideal PLM consulting partner not only brings technical expertise, but also understands your industry-specific challenges, business objectives, and internal workflows. Look for a provider who offers flexibility, proactive communication, and a proven track record of success with organizations similar to yours.

When evaluating a service provider, consider:

  • Their experience with Windchill and PLM implementations
  • Industry-specific expertise
  • Flexibility of support plans (on-demand, ongoing, or project-based)
  • Availability of training and user support
  • Track record of successful deployments and satisfied customers

A good Windchill partner doesn’t just keep your system running. They help you get the most out of your investment.

Next Steps with Windchill

Windchill services are a critical component of any successful PLM strategy. From implementation and maintenance to integration and training, these services ensure your PLM system is reliable, scalable, and delivering maximum value to your organization. Whether you’re just beginning your Windchill journey or looking to optimize an existing deployment, partnering with experienced professionals can transform your digital product development environment.

Do you know the signs that your Windchill system needs an upgrade? If not, our checklist has you covered. Get it free today!

Know When It’s Time to Upgrade   Quickly assess whether your current Windchill environment is due for an update.