Your PLM Implementation Failed. You're Not Alone.

73% of PLM projects fail to achieve adoption goals. We've rescued 47 of them—and we'll tell you honestly if yours can be saved.

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Does this sound familiar?

✗ Adoption below 40% (people still use Excel and email)
✗ Engineers bypassing the system entirely
✗ Change orders taking weeks instead of days
✗ "Phase 2" never happened (stuck in partial deployment)
✗ Manufacturing doesn't trust the data
✗ Your team asking "when can we go back to the old way?"

If you checked 3+ of these warning signs, your implementation needs rescue.

Why PLM projects fail (hint: it's not the technology)

70% fail from poor organizational change management

Systems deployed without teaching people why or how. No champions. No adoption strategy.

20% fail from wrong architecture

Generic "best practices" that don't match how your business actually works. Forced processes nobody follows.

10% fail from technology issues

Wrong platform choice. Poor performance. Integration problems.

Bottom line

Technology is rarely the problem. People and process are.

To go deeper on PTC Windchill rescue, watch the video below

Can it be saved? (Honestly)

Yes, if…

Your implementation has good bones—the data structure is sound and leadership is still committed. Your users are frustrated but haven't given up entirely. With the right rescue approach and budget to fix what's broken, we can turn this around in 4-8 months.

Maybe, if…

Your situation is more complex. Customizations might be too tangled to salvage. Adoption below 20% means we're rebuilding trust, not just fixing technology. Broken integrations might need complete rebuilds. We'll assess honestly whether rescue is worth it or if you should cut losses and restart.

No, you need to restart

Some implementations can't be saved. If your data architecture is fundamentally wrong, no amount of rescue will fix it. If you're trying to scale a single-division system to global operations, the foundation won't support it. If leadership has lost confidence entirely, rescue won't succeed. We'll tell you honestly when restart is the better path.

Not sure which one you are?

Talk to a consultant

+64%

User adoption improvement in 6-month PLM rescue program for aerospace manufacturer.

-81%

Change order cycle time reduction through automated PLM-ERP integration.

67%

Reduction in manufacturing errors after implementing digital work instructions and change management.

*Results reflect specific project implementations and may vary based on organizational factors and scope.

FAQ

How do you know if a PLM implementation can be saved?

These are the things we look at: Is the data architecture fundamentally sound? Is leadership still committed? Are users frustrated but not checked out? If yes to all three, it's salvageable. If the data structure is wrong or adoption is below 15%, restart is often cheaper than rescue.

What's the success rate for PLM rescue projects?

88% of our rescues achieve 80%+ adoption within 6-8 months. The 12% that don't succeed usually had leadership give up mid-rescue or discovered architectural problems we couldn't fix without full rebuild. We're honest about probability upfront—we turn down 25% of rescue assessments when we don't think we can help.

How much does PLM rescue cost compared to restarting?

Usually a fraction of a full reimplementation, because most of the configuration, data and integrations can be kept. If the data architecture is fundamentally wrong, restarting is often cheaper in the long run than salvaging a broken foundation. The assessment tells you which one you have.

Can you rescue an implementation done by [big consulting firm]?

Yes. 60% of our rescues are fixing implementations done by large firms who left junior consultants in charge or declared success at go-live without adoption. We've rescued projects from every major PLM consulting firm. No judgment—we just fix what's broken.

What's the fastest you've rescued a failed implementation?

4 months (aerospace supplier, 23% adoption to 81%). They had good data architecture but terrible workflows and zero change management. We fixed workflows, trained champions, and focused entirely on adoption. Most rescues take 6-8 months because we're rebuilding trust, not just fixing technology.