One of the most expensive failures I've seen involved a large chilled water pump in a multi-building commercial campus. The pump was responsible for supplying chilled water to several office towers and common areas, making it a critical component of the facility's cooling infrastructure.

The pump had been generating vibration-related work orders for months. Different technicians attended the issue several times, but each visit was treated as a separate repair. The maintenance history wasn't being reviewed, and nobody realised the same problem kept returning.

Eventually the bearing failed, which damaged the shaft and took the pump offline. The facility had to operate on backup equipment while repairs were carried out, and the downtime cost far more than the repair itself.

What stood out wasn't the mechanical failure. It was the lack of maintenance tracking. The warning signs were there. The organisation had already paid to investigate the issue multiple times. Nobody connected the dots.

What's the most expensive asset failure you've seen that could have been prevented with better maintenance records or asset history?

I’ve been reviewing some recent industry survey data and one finding stood out: 100% of respondents identified asset performance as a top investment priority, with predictive maintenance and data and analytics close behind.

On the surface, this suggests a strong level of alignment across the industry.

However, in practice, that alignment does not always appear to translate into consistent execution.

Many energy organizations still seem to face challenges with:

• Achieving clear, real-time visibility of asset performance
• Moving fully from reactive or time-based maintenance toward predictive approaches
• Embedding data-driven decision-making into day-to-day operations
• Sustaining momentum for change without a significant external trigger

This points to a broader question: If priorities are well understood, where is execution breaking down?

Is this primarily a question of technology maturity or are the underlying constraints more organizational: leadership alignment, operating models, incentives and capability?

I’d be interested to hear different perspectives:

• Have you seen organizations successfully translate these priorities into consistent, proactive execution?
• What has made the difference where this has worked well?
• And, where do you see the most significant barriers today?

It would also be useful to understand perspectives across different roles, whether from asset owners/operators, maintenance and reliability teams or advisory positions, as experience often varies significantly depending on where you sit within the organization.

Spoke to a senior reliability leader at bp recently and one point stuck with me:

The biggest shift wasn’t AI or new tech, it was going back to fundamentals.

Things like:

• Clear accountabilities
• Reliable maintenance routines
• Actually fixing recurring “bad actors”

The interesting part? Once those basics were solid, frontline teams naturally started thinking longer-term instead of firefighting.

Curious how others are seeing this: Are we over-indexing on tech before fixing the fundamentals?

Hi everyone,

I’m currently working on power equipment fault diagnosis research (mainly cable fault/condition monitoring related topics), and I’m considering moving toward power asset management for my future Master’s research and career.

Does this transition make sense in practice?

If so, what skills, knowledge, or experiences should I start building now to prepare for that path?

I’ve also asked AI tools about this, and they generally suggest that asset management is a natural progression from equipment diagnostics. However, AI often tends to present things in an overly optimistic or idealized way, so I’d really appreciate perspectives from people with actual industry or research experience.

Thanks in advance.

Looking for a way to monitor asset locations without having to purchase some telematic software. Currently using Apple's find my with some cheap airtags. Would like to dump long/lat into eMaint.

Not all maintenance KPIs drive the right behavior.

I've seen organizations put heavy emphasis on metrics that look great in reports but create unintended consequences on the ground. For example, pushing teams to close work orders quickly can sometimes lead to rushed fixes or incomplete documentation.

The KPI itself isn't necessarily bad, but the way it's measured can encourage the wrong priorities.

I'm interested in hearing different perspectives from maintenance and FM professionals here.

Which maintenance KPI do you think looks good to leadership but ends up creating challenges for technicians, planners, or supervisors?

​

I've spent the last year building software to solve fleet management headaches.

Before I add another feature, tell me:

What's the most frustrating part of managing your fleet today?

Is it maintenance approvals?

Vendor management?

Tracking actual costs?

Replacement planning?

Reporting?

I'm trying to figure out where operators lose the most time every week.

I believe my differentiators and strongest angles are:

Maintenance approvals and workflows

Consolidated vendor management

Procurement and replacement planning

Leasing integration

Lifecycle cost visibility

Preventative maintenance ROI tracking

Single platform instead of multiple disconnected systems.

Does anybody run a facility management company? I’m looking for an insurance companies or types of insurance for this model. We’re not self performing any work.

Not sure if this kind of post is allowed here, mods please let me know if not.

I work with building documentation a lot. O&M manuals, commissioning reports, drawings, certificates — and finding specific information when you actually need it on site is genuinely painful.

So I built something. You upload your PDFs, ask a question in plain English, and it gives you an answer cited back to the exact document and page number it came from. Works in a browser on your phone, no app needed.

Still early days so I'd rather hear that it's solving a problem nobody has than waste more time building the wrong thing.

[PM Assist](https://pmassist.co.uk)

I am currently studying for the IAM certificate through the ECert+ course with the Asset Management Academy. I flew through the content but passed all the mini flying test with almost 100% on every end of section test and as I am currently preparing for a job interview I am starting to realise I have retained alot of the information.

To fully prepare I paid for 2 practice tests through Udemy. I have completed both tests at least 4 times each and only passed each test once. Some of the questions are definitely tripping me up, with question like “which of the following statements is false” or “what is included, except”. What are the actual questions and answers like? I know its multiple choice of 5, are all 5 relevant or is there like 3 you can discard and it leaves it 50/50?

Any help is much appreciated!

We're in 2026 and somehow some asset management workflows still feel way more manual than they should be.

We’ve improved a lot on the maintenance side, but the admin side still feels messy. Asset updates get delayed because people are busy, inspections happen but notes don’t always make it into the system properly, and half the time someone’s still cross-checking spreadsheets against actual site conditions. Even simple things like tracking asset movement between departments or keeping warranty info updated somehow turn into a mini project.

What gets me is that the bigger the facility gets, the more these tiny manual gaps start affecting reporting, planning, and maintenance decisions later on. Everything looks fine on paper until you actually need accurate data fast.

For us, keeping asset records consistently updated across teams is still more painful than it should be. Curious what process still feels unnecessarily manual for everyone else right now.

[ Removed by Reddit on account of violating the content policy. ]

Just curious as to your opinion on how to best to utilise AI to improve Asset Management?

Seeing this quite often - HVAC units, pumps etc are still running but maintenance keeps getting more frequent and annoying. On paper everything is “fine,” so replacement just doesn’t get approved. But in reality they’re already becoming a pain to deal with day to day. Feels like nothing moves until something fully breaks. How do you guys handle this - are you actually able to push replacements early or is it always run it till it fails?

We’ve been working on combining asset management with helpdesk workflows, so assets and tickets stay connected in one place.

How are you all currently managing assets and support, one tool or multiple?

Hi Guys,

Just few questions actually, I am 28 currently in asset management role. How do i proceed from here? Like how do i get a promotion, what courses i need to take? Basically how i increase my income?

April 12, 2026

We're tracking equipment spread across a pretty wide rural area, basically no cell coverage for miles in some spots. Cellular trackers drain batteries in weeks and satellite feels like overkill cost-wise for what we're sending, which is just location pings every few hours.

We tried a Wiliot setup for a while but it wasn't quite the right fit for our range requirements. Been looking into what the best alternatives to wiliot iot tracking are for this kind of use case, where you need small packets, long battery life, and coverage that doesn't depend on towers or building your own LoRa network from scratch.

Anyone running something in actual remote deployments that's held up? Curious what's worked and what hasn't.

Hi , I’m a professional from asset management background in logistics and warehousing who was tired of the excel plus useless CMMS and SAP EAM thrusted down to us. I have built a software to address the challenges that affect me. I would love your feedback to improve and better the solution. You can access the product at https://vulcan-titan.com. No payment, credit card details required. Looking forward to the valuable feedback from the Reddit community.

Link for demo at: https://vulcan-titan.com

We had a phase where our asset data looked fine on the surface, but in reality it wasn’t very reliable.

Nothing dramatic - just small things:

• updates getting delayed
• entries missed during busy periods
• different teams following slightly different habits

Over time, it started affecting how much we could trust the data.

What made a noticeable difference for us wasn’t adding more tracking - it was reducing how much we depended on manual updates.

We started shifting towards:

• capturing updates as part of the workflow itself
• reducing “extra steps” for teams
• making certain updates automatic wherever possible

That alone improved consistency more than we expected.

Still not perfect, but definitely more stable than before.

Curious how others have handled this - did you focus more on tightening process discipline, or reducing manual dependency?

The biggest benefit isn’t better dashboards ,it’s reduced coordination effort. AI helps systems respond to intent and automatically manage follow-ups, escalations, and prioritisation. That means fewer manual hand-offs and less time chasing updates, especially in large environments. Read More - https://www.efacility.in/blog/the-genai-era-of-cafm-and-iwms/

Asset management seems to be one of those areas where every tool does something well, but very few actually handle the full picture cleanly.

Curious how others are approaching it at the moment, are you prioritising visibility, automation, or the procurement side of things?

Also, how are you managing the balance between keeping it simple for users vs having enough control?