Most AI vision demos look the same: clean images, bright boxes around a hot joint and a confident score. A power plant is not a clean image. It has steam, vibration, glare, hot surfaces, restricted areas and an operational network you cannot expose. This checklist helps you test a vendor against the plant you actually run. OXMAINT AI is power plant maintenance management software that turns an inspection finding into a tracked work order.
AI VISION · POWER PLANT INSPECTIONS · BUYER CHECKLIST · 2027
AI Vision Buyer Checklist for Power Plant Inspections 2027.
A camera alert that never becomes a work order is just another screen to watch. Use this checklist to judge coverage, accuracy, thresholds and edge setup. OXMAINT AI connects the workflow in one platform: inspection findings become work orders, work orders feed preventive schedules, and the evidence stays on the asset record.
1. Inspections
2. Issues found
3. Work orders
4. PM and trend history
6
sections: coverage, accuracy, thresholds, edge, integration, support
29
checks to tick off with each vendor
5
red flags that should end a conversation
30
day pilot that settles the decision
HOW TO USE
Print or open one copy per vendor. Tick only what the vendor proves on your site or in writing. A claim in a slide deck is not a tick.
The Checklist: Six Sections, 29 Checks
Work down the sections in order. Each ends with a question to ask the vendor and a red flag to watch for. Sign up free to track what each inspection finds.
The checks are a buyer's framework drawn from common evaluation practice, not a certified standard. Add items specific to your plant.
How to Read Your Score
Count your ticks per vendor. These bands are a rule of thumb, not a scientific scale. Book a demo and score OXMAINT AI yourself.
25–29
Strong case
Move to a pilot on your own assets.
19–24
Pilot with conditions
Get the gaps fixed in writing first.
Under 19
Not ready
Look at other vendors or wait.
Any red flag in sections 2 or 5 should count more than the score suggests.
What Should Happen After an Alert
The vision system finds the problem. The rest of the workflow decides whether anything gets fixed. Check each hand-off. Start free and follow a finding to closure.
1DetectCamera flags a hot joint or defect
→
2ReviewA person confirms or rejects
→
3RaiseA work order opens with the image
→
4FixTechnician repairs and closes it
→
5LearnOutcome feeds PMs and the model
Without steps 3 to 5, AI vision is an expensive alarm.
Make Every Finding Reach a Work Order.
Track findings, evidence and repairs in OXMAINT AI, so every alert from your vision system ends in a closed work order. Start with a few assets and link your inspection program as you go.
Five Red Flags
1No test on your own plant images
2Accuracy given as one number
3Alert limits you cannot change
4No live alert-to-work-order demo
5No way to take your data with you
The 30-Day Pilot
Run the shortlisted vendor on a few real assets for a month before you sign. Book a demo to plan your pilot.
WEEK 1
Set up
Pick 5 to 10 assets, install cameras, write the success measures.
WEEKS 2–3
Run and compare
Compare alerts with technician rounds. Log hits, misses and false alarms.
WEEK 4
Decide
Review the log, the work orders opened and the team's view.
EXPERT REVIEWPower plant reliability view
Judge a vision system by the repairs it helps you make, not by how many alerts it produces. Have your most experienced technician review every pilot alert and note whether it was real, early and actionable. Their verdict is a better measure than any vendor percentage.
What a Power Plant CMMS Must Do With AI Findings
If you are comparing the best CMMS for power plants in 2027, check how it handles inspection findings. Book a demo and test OXMAINT AI with your own inspection data.
ASSETS
Asset record for every finding
Images, notes and history tied to the correct equipment tag.
INSPECT
Inspection checklists
Rounds on a phone with photos, pass or fail and comments.
ORDERS
Work orders from findings
A confirmed issue becomes an assigned job with a due date.
PM
Preventive schedules
Repeat findings lead to better PM tasks and frequencies.
TREND
Readings and trends
Thermal and other readings logged against the asset over time.
REPORT
Reports and audit trail
Who found what, who fixed it and when, in one record.
Questions Buyers Ask
What should an AI vision buyer checklist cover?
It should cover camera coverage, accuracy on your own images, alert thresholds, edge and connectivity, work order integration and security and cost. Each item should be proven on your site or in writing, not just claimed in a demo.
Book a demo and walk through this checklist with us.
How do I test AI vision accuracy fairly?
Do I need edge computing for power plant inspections?
Often yes, because plants have patchy connectivity, restricted networks and limits on sending video off site. Edge processing keeps detection running when the link is down and cuts bandwidth. Ask each vendor exactly what runs on site.
Book a demo and discuss your site setup.
How should AI vision alerts connect to work orders?
What is the best CMMS for power plants in 2027?
Buy on Evidence, Fix on Record — With OXMAINT AI.
Keep every finding, work order and repair on one asset record, so the evidence from your inspections is never lost between systems. Start with your pilot assets and grow from there.
