Maintenance Request Triage
Prepare asset, classification, priority and routing suggestions.
Operational AI by Upvantix
AI that understands the work behind the asset.
Bring asset records, work history and technical knowledge into maintenance and field service. Ask questions, investigate issues and prepare work with the AI Maintenance Assistant.
Ask · Investigate · Prepare · Capture · Learn
Built into Upvantix CMMS and Field Service Management. Designed for your AWS environment.
Illustrative preview · Sample data, not a product screenshot.
AI Maintenance Assistant
Has this spindle vibration fault occurred before?
Two relevant records found. A previous inspection linked similar vibration to bearing wear. Review the cited history and procedure before deciding the next action.
WO-0821
Inspection record
Spindle guide §4.2
Human review required before operational action.
Operational context
Not a chatbot beside your operations. AI inside them.
Generic AI knows how to answer questions. Operational AI needs to understand which asset is involved, what work has already been performed, which documentation applies, what technicians observed and what activity is happening now.
The asset provides the context. The workflow provides the purpose. AI provides assistance.
Operational AI is AI assistance built into Upvantix CMMS and FSM, grounded in your asset and work records, with your team reviewing every action. It is not a separate generic GenAI product.
Asset / Equipment
Work orders
Documents
Service history
Technician knowledge
AI Maintenance Assistant
Operational Q&A
Ask questions without searching through systems and manuals.
Use natural language to retrieve relevant information around equipment, work and maintenance activity. Answers are designed to expose the records that informed them.
Asset recordsAsset hierarchyManuals & SOPsWork ordersMaintenance recordsFault historyService historyInspection recordsParts recordsTechnician notes
Ask Upvantix
Has this fault occurred before?
Relevant history found
- • Similar issue recorded in WO-1842.
- • High vibration was observed.
- • Bearing inspection was performed.
- • Follow-up inspection was recommended.
Sources
WO-1842Inspection recordPump manualTechnician note
Example questions · illustrative demo content
“What work was performed on Pump P-204 during the last six months?”
“Has this fault occurred before?”
“Show the maintenance procedure for this compressor.”
“Which parts were used during the previous repair?”
Investigate
Start troubleshooting with context—not from zero.
Bring relevant historical and technical information together for the technician when an asset develops an issue.
AI surfaces the context. Technicians make the operational decision.
01
Current issue
02
Asset identified
03
Relevant context
04
Suggested investigation
05
Technician review
Context gathered
Previous faults
Maintenance history
Service history
Technical documentation
Previous fixes
Technician knowledge
Review historical evidence, supporting documentation and confidence before acting.
AI-assisted work preparation
From “something is wrong” to work your team can review.
Maintenance requests often begin as an email, phone call, short note, photo or incomplete description. AI can help prepare a structured starting point without removing human review.
Identify or suggest the asset
Draft the work-order title and description
Suggest classification and priority
Retrieve supporting documentation
Surface similar work and relevant history
Prepare suggested steps for review
01
Text, voice or image
02
AI interprets the request
03
Structured draft work order
04
Human review
05
Approve for execution
Procedure assistance
Turn technical knowledge into work-ready guidance.
The experience is designed to transform approved manuals and operational context into structured, reviewable guidance while keeping authorization with the customer.
Inspection procedures
Maintenance steps and checkpoints
Draft checklists
Relevant tools and parts
Measurements and supporting documents
Safety considerations for authorized review
Draft procedure
Pump seal inspection · P-204
Approved manual
Asset P-204
Inspection job
1
Verify isolation status
2
Inspect seal assembly
3
Record condition and measurement
4
Escalate exceptions for review
Authorized review required before operational use.
Report work naturally
Let technicians describe the problem the way they see it.
Maintenance and field-service issues do not always begin with structured forms. The multimodal intake experience is designed to let teams submit observations naturally and review a structured request before it enters the workflow.
Text
Voice
Image
Document
AI structures request
Asset context added
User reviews draft
No image-based fault-diagnosis claim is made.
Capture knowledge
Capture experience while the work is happening.
The Upvantix Maintenance Notetaker is designed to help technicians capture observations naturally and turn them into structured records connected to the asset and job.
Turn tribal knowledge into operational knowledge.
Voice and text notes
Findings and observations
Corrective action
Measurements and parts used
Follow-up recommendations
Service and job summary
Maintenance Notetaker
Technician voice note · 00:42
Illustrative assistant experience
Structured job summary
Finding
Seal wear and light scoring observed.
Corrective action
Seal replaced and assembly inspected.
Parts used
Mechanical seal · 1 unit.
Follow-up
Review condition at next planned inspection.
Technician reviews before saving.
Operational knowledge
Every completed job can make the next one better informed.
The goal is not simply to store more documents. It is to connect activity, service records, technical knowledge and technician experience around the asset.
Manuals
Asset data
Procedures
Work history
Service history
Technician notes
Operational knowledge
AI Maintenance Assistant
Better-informed future work
AI + Upvantix CMMS
Intelligence inside maintenance execution.
Place the Assistant inside the asset view, work order and maintenance history so technicians can work with the context already surrounding the job.
Ask questions about assets
Search previous maintenance
Surface similar faults
Summarize asset history
Retrieve relevant documentation
Capture completed-work context
Asset A-204
Asset view
Work orders
PM history
Documents
CNC spindle · Line 2
Maintenance context
12 work orders
3 documents
PM due · 8d
AI Maintenance Assistant
Two related work records and one procedure are available for this asset.
HistoryProcedureSimilar work
Review operational context before action.
AI + Field Service Management
Give field technicians the asset context before they arrive.
Prepare a technician briefing around the customer, installed asset, previous service and relevant technical context—then bring field learning back into the record.
Installed-asset lookup
Customer and site context
Previous service-history summary
Technical document retrieval
Field-note capture
Service-report preparation
Service job FS-218
Customer
Installed asset
Service history
Documents
Cooling unit · Customer site 04
Technician briefing
4 service jobs
2 open issues
3 documents
AI Maintenance Assistant
Previous service, open issues and the applicable guide are ready for review.
CustomerService historyManual
Review operational context before action.
Agentic operations
Move from finding information to preparing operational action.
Upvantix designs operational agents to help prepare and coordinate routine work while keeping appropriate people responsible for review and approval.
Work Order Agent
Prepare structured work from an operational request.
Procedure Agent
Retrieve technical context and prepare a draft procedure.
Planning Agent
Surface priorities, overdue work and scheduling constraints.
Knowledge Agent
Organize information captured across work and service history.
Field Service Agent
Prepare technician briefings and draft service documentation.
01
Observe
02
Understand
03
Prepare
04
Recommend
05
Human review
06
Approve
07
Execute
08
Capture result
Automate preparation before automating accountability.
Enterprise AI architecture
Operational AI inside your cloud environment.
AI assistance in Upvantix CMMS and FSM is designed to operate within the architecture your organisation selects, helping you retain architectural control over operational data, identity, integrations and the AI services around your operations. Designed for your AWS environment.
Customer AWS environment
Enterprise identity
Upvantix Operations Platform
CMMS
Field Service Management
Operational context
Operational AI
AI Maintenance Assistant
Approved AI services
Enterprise integrations
Responsible operational AI
Designed for assistance you can understand and control.
Grounded
Use approved operational information and enterprise knowledge where supported.
Asset-aware
Follow the equipment, location or installed asset involved.
Workflow-native
Work inside asset records, work orders and service workflows.
Source-aware
Show which operational records informed the response where possible.
Human-reviewed
Keep generated work and operational recommendations reviewable.
Knowledge-building
Connect completed work back to the operational context teams use next.
Customer-controlled
Align AI architecture with the customer-controlled deployment model.
Give your maintenance knowledge a place to work.
Bring asset information, maintenance history, service records and technician knowledge into the workflow with the Upvantix AI Maintenance Assistant.