Implementing a Product Data Management (PDM) or Product Lifecycle Management (PLM) system is one of the highest-impact decisions a manufacturing organization can make. When done well, it becomes the foundation for how engineering data, product workflows, and cross-functional collaborations operate. When done poorly, it becomes a costly system that teams work around rather than with.

The stakes are real: analysts estimate that 40-60% of PLM implementations come in over budget, behind schedule, or fail to deliver their promised benefits, and many that technically “go live” achieve less than 50% user adoption. Meanwhile, the cloud PLM market is projected to grow from $21.75 billion in 2026 to $31.61 billion by 2031, signaling that manufacturers are increasingly investing in getting this right.

The difference between implementations that succeed and those that struggle rarely comes down to which software was chosen. It comes down to how the implementation was structured, who was involved, and whether the system was built around how teams actually work. Understanding how PDM and PLM work together from the start is foundational to building an implementation that lasts.

The Core Phases of a PLM Implementation

While every organization is different, most successful PDM implementations and PLM projects follow a structured set of phases. Skipping or compressing any of them is one of the most reliable ways to create more work downstream.

Alignment and Configuration

This is where the foundation is built. Your system is configured to reflect your workflows, data structures, and business rules. This includes:

• Defining lifecycle states and workflows
• Structuring data (parts, BOMs, documents)
• Setting up roles, permissions, and access

The goal isn’t just to “turn on” the system—it’s to align it with how your business operates so users aren’t forced to adapt their work to fir the software.

Testing

Before going live, the system needs to be validated. Testing ensures that workflows function as expected, data flows correctly, and edge cases are accounted for. This often includes User Acceptance Testing (UAT), workflow validation, and data integrity checks

Skipping or rushing this phase is one of the most common causes of implementation issues. Research on enterprise projects shows failure rates approaching 60-70% when planning and change management are weak, and inadequate testing is a primary driver of that outcome.

Training

Training is what turns a working system into a usable one. Effective PLM implementation services go beyond a single training session and focus on:

• Role-based training tailored to different users and departments
• Real-world scenarios and workflows, not just feature walkthroughs
• Ongoing support after go-live to address questions as they arise

Without training and change management, even the best-configured system will struggle to gain adoption. Industry data consistently shows that insufficient training is one of the top reasons implementations fail to meet their goals.

Deployment

Deployment is when the system goes live, but it’s not the finish line. It oftentimes involves migrating data into the new system, rolling out access to users, and ensuring that integrations like BOM-to-ERP and CAD-to-PLM connections are functioning properly,

A well-planned deployment minimizes disruption and sets the stage for adoption. A rushed one creates a backlog of issues and data problems that can take months to resolve.

Monitoring and Support

It takes time for a business to adopt new workflows and software, and a good partner is essential during this phase. Regular check-ins and monitoring of key performance indicators is critical to ensuring the system has the intended impact. This phase is also critical to continuous improvement efforts to ensure your investment continues to grow.

How Long Does a PLM Implementation Take?

One of the most common questions is how long a PLM implementation will take. Timeline expectations vary widely based on scope and complexity, and setting realistic expectations upfront is critical to keeping implementations on track. The answer depends on several factors:

• Size and complexity of your organization
• Number of users and departments involved
• Level of customization and integration required
• Data migration scope

In general, smaller, focused implementations may take a few months. However, more complex, enterprise-wide rollouts can take 6–12+ months. What matters more than speed is structure, as rushed implementations often create more work later.

Common Pitfalls That Derail Implementations

Even with the right tools and intentions, implementations can struggle if key areas aren’t addressed. These are the most common failure points:

Treating It as an IT Project Only

PLM touches engineering, manufacturing, operations, and more. Without cross-functional involvement, the system won’t reflect real workflows.

Overcomplicating the Initial Setup

Trying to solve every problem at once can slow down progress and overwhelm users. A phased, iterative approach is often more effective.

Lack of Clear Ownership

Without defined ownership, decisions stall, and accountability becomes unclear. Assigning a system owner, someone responsible for ongoing governance, user access, and process alignment, is essential to long-term success.

Insufficient Training and Change Management

This is one of the biggest risks. If users don’t understand how to use the system—or why it matters—adoption will suffer. Even “successful” implementations frequently achieve less than 50% actual usage among intended users when training is deprioritized.

Disconnected Systems and Integration Gaps

When PLM doesn't connect with ERP, MES, CAD, or quality systems, information silos persist and the core promise of PLM — a single source of truth — goes unfulfilled. The Autodesk ecosystem addresses this directly through the Vault Connector, which natively links Vault Professional with Fusion Manage to eliminate manual data transfers between PDM and PLM.

DIY vs. Partner-Led Implementation

When considering how to implement PLM, many organizations weigh whether to handle implementation internally or work with a partner.

For many organizations, a hybrid approach — combining internal domain knowledge with external implementation expertise — delivers the best results. The team that knows the business guides the decisions; the partner brings the structure and best practices to execute them well.

What “Done” Actually Looks Like

A successful PDM implementation or PLM rollout isn’t defined by go-live, it’s defined by impact on how the organization operates. Real success looks like:

• Users actively working in the system and relying on it in their daily roles — not working around it
• Data that is consistent, accurate, and easily accessible across departments
• Workflows followed in a way that delivers measurable efficiency gains
• Integrations with CAD, ERP, and other systems functioning reliably, allowing information to flow without manual intervention
• A foundation that supports connected product development across engineering, operations, and beyond

The results from well-executed implementations reinforce this standard. Autodesk's 2025 State of Design & Make research shows digitally mature organizations report at least a 50% improvement in productivity and collaboration compared to peers still relying on disconnected systems. That's the gap a properly implemented PDM or PLM system closes — and it's why getting the implementation right from the start matters so much.

How Hagerman & Company Supports PLM Implementation

At Hagerman & Company, we approach PLM implementation services as a structured, collaborative process. We work closely with your team to define and align workflows with your business needs, then configure solutions like Autodesk Vault and Autodesk Fusion Manage to support those workflows, not generic out-of-the-box defaults.

Our process includes:

• Discovery and roadmapping — understanding your workflows, identifying pain points, and defining where PDM or PLM will have the most immediate impact
• System configuration — aligning lifecycle states, BOMs, data structures, roles, and permissions with your business rules
• Testing and validation — ensuring workflows, integrations, and data are functioning correctly before go-live
• Deployment and data migration — a managed transition that minimizes disruption to your team
• Role-based training and ongoing support — ensuring your team is confident and productive in the system from day one

Your team plays a critical role as well, bringing the domain knowledge, decision-making, and ownership needed to ensure long-term success. Together, this partnership helps ensure your implementation is not only technically sound, but also practical and sustainable.

Contact us today to start your PLM implementation journey.