We analyse your CMMS history and hand you the top 10 assets destroying your budget – with root causes and a costed action plan. Delivered in 3–4 weeks.
From$7,000*
Delivered in 3–4 weeks
*Final price depends on the number of assets and the data to process.
Combined: top 10 = €882k · 686 h downtime – 61% of site maintenance burden.
The Pain Today
Your CMMS data is gold. It's just locked in pivot tables.
Stop paying consultants a fortune to tell you who your bad actors are. AI finds them in days, not months – with better precision and full traceability back to your own work orders.
01
Three weeks per round.
Pulling 12 months of work orders, normalising failure codes, joining cost data, building pivots – by the time the list is ready, three new bad actors emerged.
02
One CMMS at a time.
Multi-site groups run SAP PM here, Maximo there, Infor in another plant. Each export has its own format. Combining them = manual nightmare.
03
Surface KPIs, no diagnosis.
You get a ranking but no "why". Engineers still spend a week investigating each top asset before any action lands.
What You Get
More than a list. A costed action plan.
Top 10 value destroyers
Ranked by combined cost, downtime, frequency, criticality – in $.
Cost & hours Pareto
Labour, parts, contractor, lost production – broken down per asset.
Root causes per bad actor
Repeating failure modes flagged with evidence from your own work orders.
Costed action plan
Prioritised by ROI: what to fix first, what it costs, what it saves.
Leadership-ready deck
A summary your plant director can take to the budget meeting as-is.
Reusable working file
The full ranked dataset in Excel – yours to keep, filter and re-run against.
How it works
One call, one export. We do the rest.
WEEK 1
30-min scoping call
Your context, your CMMS, the assets in scope. NDA signed first.
WEEK 1
You send one export
Work orders + costs, any format. SAP PM, Maximo, Infor, even messy Excel.
WEEK 2–3
We analyse
AI cleans, normalises (ISO 14224) and ranks. A senior engineer validates every finding.
WEEK 3–4
Findings call + action plan
Top 10, root causes, costed actions. Deck, Excel and report handed over.
The Proof
Top 10 bad actors in minutes. Not weeks of pivot tables.
This is what the diagnostic looks like on real CMMS data. Not just a Top 10 – a full reliability picture: KPIs, failure-mode breakdown, trend lines, recommended deep-dives.
PLANT NORTH·412 assets · 12 months · SAP PM
12MYTDQ1
Bad-actor cost
€1.4M
▲ +18% vs prior 12M
Total downtime
1,124 h
▲ +9%
Top 10 share
61%
of total burden
Analysis time
days
vs months of consulting
Top 10 – cost impact
Where the money goes
CriticalHighWatch
P-101A
€240k
C-202
€198k
V-300
€124k
HX-04
€88k
P-205
€62k
M-12
€54k
B-08
€42k
P-103
€31k
F-22
€24k
CV-15
€19k
Failure mode split
By category
412
assets
Mechanical48%
Process22%
Electrical18%
Operations12%
Works with
SAP PMMaximoInfor EAMOracle eAMCustom DBCSV / Excel
R/
AI summary
4 assets ready for full RCA · 3 PM intervals to revisit · 2 alarms recommended.
The AI ranks. A senior engineer validates. Every number traces back to your own work orders – nothing trains a public model.
Side by side
Manual way vs. Rob Reliability AI.
Manual way
Time to Top 103–4 weeks
CMMS coverageOne system at a time
Refresh cadenceAnnual at best
DepthSurface KPIs
FormatExcel pivot, hard to share
With Rob Reliability
Time to Top 10Days
CMMS coverageSAP, Maximo, Infor, custom
Refresh cadenceOn demand · monthly
DepthDiagnosis + costed action plan
FormatDeck + Excel + report
Not another AI pilot.You get a finished deliverable with quantified ROI. Most AI projects die in POC purgatory – this isn't one of them.
No IT project.A simple CMMS export is enough. No system access, no software to install, no integration.
NDA-first.Your data stays isolated, never trains public models, and is deleted after the engagement.
Remote-first. On-site when it helps.The whole diagnostic runs remotely – and we come to site when that's what the job needs.
FAQ
Questions you're probably asking.
Is my data safe?
Yes. NDA signed before any data moves. Your export lives in a private, isolated environment dedicated to your site, never trains public models, and is deleted after the engagement. We can work on your own cloud if required.
We can't give external access to our CMMS.
You don't have to. A simple export is all we need – work orders and costs, in whatever format your system produces. SAP PM, Maximo, Infor EAM, Oracle eAM, or just Excel. No system access, no IT project.
Our failure data is messy and incomplete.
That's exactly the job. The AI normalises failure codes (ISO 14224), fills gaps from free-text work-order descriptions, and flags where data quality limits the conclusions – so you know what's solid and what needs a second look. Messy Excel is our daily bread.
Is this just another AI proof of concept?
No. You're not buying a pilot or a software trial – you're buying a finished deliverable: a ranked Top 10, root causes, and a costed action plan, validated by a senior reliability engineer. The ROI is in the document itself, in weeks, not in some future rollout.
Why $7,000?
Because the typical Top 10 hides hundreds of thousands in avoidable losses – the diagnostic usually pays for itself with the first action on the list. The final price depends on the number of assets and the data to process; we confirm it on the scoping call. And if we can't prove the ROI on that first call, we won't take your money. Simple as that.
Built by a 20+ year reliability expert
Built bad-actor lists by hand. Now we automate it.
Rob has built bad-actor lists on 50+ sites – across LNG, power, mining, pharma. The diagnostic automates exactly that workflow, and adds the root-cause layer that used to take another two weeks of investigation.
Ready to see your real Top 10?
30-minute scoping call. Bring an export from your CMMS – we'll show you what the diagnostic would surface, on your data. No pitch. No obligation. If there's no clear ROI, we'll say so.
