Implementing a new Enterprise Asset Management (EAM) or Asset Performance Management (APM) system is one of the most consequential decisions a maintenance and reliability organization can make. Done right, it transforms how your team operates, drives data-driven decisions, and delivers measurable ROI. Done wrong, it creates resentment, wasted resources, and a system nobody trusts.
At DMSI, we’ve guided organizations through this process for years. Here’s what we’ve learned about making them succeed.
The most common reason EAM/APM implementations fail
The single biggest reason EAM/APM implementations fail is the absence of a qualified Subject Matter Expert (SME) managing the project. Unlike a standard IT rollout, these implementations directly shape employee workflows, organizational outcomes, and the business’s bottom line. That distinction requires someone who understands the full operational impact of every decision made along the way.
In the early days of MAINTelligence™, we saw this repeatedly. Companies tried to save money by building their own database after just three days of training. Without a deep understanding of how the database hierarchy levels affect other features throughout the system, those builds fell short. Worse, it was typically one or two engineers making the decisions without consulting other stakeholders. Operators and maintenance staff pushed back because they had no voice in a system they were expected to use every day. The lesson is straightforward: cost-cutting at the implementation stage doesn’t save money. It creates a much larger bill later.
5 steps to structure the first 90 days of your EAM/APM implementation
A successful first 90 days isn’t about speed. It’s about building the right foundation through collaboration. Here’s how we approach it at DMSI:
- Assemble a cross-functional client team representing all relevant stakeholders, from operations and maintenance to IT and reliability.
- Assign a project manager and lead engineer/mentor to work alongside that team from day one.
- Map each stakeholder’s required outcomes so the system is built to serve real needs across the organization, not just leadership’s assumptions.
- Complete the database build within the 90-day window with the joint team’s input guiding every decision.
- Begin onsite mentoring, training, and auditing to reinforce correct usage and surface any issues before they become habits.
The step most organizations skip is outcome mapping. It feels slow at the start, but it’s what creates buy-in. When people see their own priorities reflected in the system, they stop resisting and start championing it. For a deeper look at our implementation methodology, download our PDF guide to a successful APM implementation.
Who needs to be involved in an EAM/APM implementation?
Stakeholder involvement depends on which modules are being implemented, but representation from all levels and disciplines is essential. In practice, organizations designate a site Point of Contact (POC) to manage the information-gathering process and coordinate input across the organization.
Beyond the POC, two roles need to stay closely involved throughout: the IT manager and the Reliability manager. IT ensures the technical infrastructure supports the system. The Reliability manager ensures it’s being built to serve actual asset management goals. Operators, technicians, and supervisors should have their needs represented through the POC and the outcome mapping process; their day-to-day realities determine whether the system gets used or ignored.
How to address resistance from technicians and field workers
Resistance to new systems has decreased as a younger, more tech-comfortable workforce has entered the field. Change, however, is still a loaded word for many people. A hybrid mentoring approach works best by combining on-site support with off-site availability, ensuring issues are resolved before frustration sets in.
This shift is also part of a broader industry movement. The Connected Worker model is redefining how frontline technicians interact with systems like MAINTelligence™.
This approach does three things well: it builds trust-based relationships with end users, allows DMSI to respond to problems quickly, and provides ongoing training beyond go-live. When users feel supported, their relationship with the system shifts. That trust translates directly to better data, better compliance, and better ROI.
Data migration and data quality: What organizations get wrong
At DMSI, we take pride in migrating data from other systems into MAINTelligence™. But there’s a pattern we often see: clients try to recreate the structure of their old system in MAINTelligence™ because it’s familiar. Every EAM/APM platform is different, and forcing one system’s logic into another rarely works. Months later, once clients understand MAINTelligence™ best practices, we frequently rebuild the database to help them take full advantage of the software. The better approach is to treat migration as a content transfer rather than a structural blueprint.
Data quality is equally important. The principle holds: good data in equals good data out. Organizations are trying to make data-driven decisions about asset health, and it starts with accurate collection. MAINTelligence™ supports this through barcodes and NFC tags that confirm the correct asset is being documented, acceptable range settings that catch keying errors, and reporting dashboards that monitor collection compliance. These aren’t optional features. They’re foundational to any serious reliability program.
Our Liberator 604™ case study shows how repeatable field readings caught a developing blower failure before it became a costly shutdown.
Should you configure the system to fit your processes or redesign your processes to fit the system?
MAINTelligence™ is highly versatile and can be configured to match existing processes in most cases. But some of its most valuable capabilities require process redesign to be fully unlocked.
Our SMEs walk clients through those benefits and tradeoffs clearly. The final decision is always a compromise reached through a thorough review of the client’s workflows alongside what MAINTelligence™ makes possible. The goal is to make sure organizations aren’t leaving meaningful value on the table out of habit.
The latest MAINTelligence™ and InspectMT™ updates, including enhanced compliance tracking and mobile data collection, are built with exactly that in mind.
An EAM/APM implementation that got it right
DMSI President Andrew Liddle began his career as a marine engineer before joining Design Maintenance Systems as a Software Support Engineer, where he managed more than 10 EAM/APM implementations in his first four years. That foundation informs how we work with every client.
One of our most successful implementations involved a client located just down the street from DMSI’s headquarters. They came in with the right mindset: implementing MAINTelligence™ successfully requires a dedicated project manager and genuine cross-functional collaboration.
Their goal was to interface an established ERP system with MAINTelligence™ so that MAINTelligence™ would own the workflows and data collection. This required three-way collaboration between the client, ERP SMEs, and DMSI’s team. A systematic, step-by-step approach was used with continuous feedback built in at every stage. Each step was evaluated and accepted by all stakeholders before the next one began, so any misstep was caught and corrected immediately. The implementation landed cleanly, on purpose, with full stakeholder confidence.
The hidden cost of a poor EAM/APM implementation
There are no hidden costs in a well-run implementation. The costs organizations encounter are the consequences of not implementing properly: production downtime from equipment failures that a functioning reliability program would have prevented, increased operational expenses from reactive firefighting, and the expense of rebuilding the database and retraining workers after a failed first attempt. The implementation budget isn’t a cost to minimize. It’s an investment with a defined return, and protecting that return means doing it right the first time.
One piece of advice for leaders starting an EAM/APM implementation
Treat your vendor as a partner.
DMSI’s success is directly tied to our clients’ success, so our goals are aligned from the start. When clients share their challenges openly and rely on our expertise as we rely on theirs, the collaboration delivers. Cost management matters, but decisions made during implementation have long tails. A long-term vision almost always pays off. The organizations that treat implementation as a transaction get transactional results. Those who treat it as a partnership build something that lasts.
To learn more about how MAINTelligence™ supports organizations from implementation through long-term success, explore our client services.
Frequently Asked Questions about EAM/APM Implementation
How long does a typical EAM/APM implementation take?
With proper planning and stakeholder alignment, a database build can typically be completed within 90 days, followed by training and on-site mentoring.
What is the difference between EAM and APM?
EAM manages the full asset lifecycle. APM uses data and analytics to optimize asset reliability and performance. MAINTelligence™ bridges both.
How do we know if our organization is ready to implement an EAM or APM system?
If your team is making maintenance decisions reactively, struggling with data accuracy, or unable to measure asset health, you’re ready.
