Every critical asset scored, watched, and serviced before it fails.
Phyllis builds and extends your whole asset-care programme — criticality, condition and maintenance — grounded in your live instance and staged for your approval.
Built by ServiceNow architects — CMA-grade by default
Grounded in your instance
Approval-gated delivery
CMA-grade documentation
Self-heal on your approval
A quick scroll through what Phyllis can do
Model library audit
Criticality matrix
Model category
Product model
Condition template
Condition attribute
Service frequency
Lifecycle scoring
Calibration
Normalisation
Health scan
Coverage report
Model library audit
Criticality matrix
Model category
Product model
Condition template
Condition attribute
Service frequency
Lifecycle scoring
Calibration
Normalisation
Health scan
Coverage report

Questions?
We’re glad you asked.
Phyllis configures the foundations that make asset condition and risk work: your model library, the criticality and risk framework, lifecycle scoring, and the condition-assessment programme. She sets up the engine so it's ready to use.
The day-to-day work stays with your team — she doesn't create, move, score, or dispose of individual assets. Those runtime operations happen in your asset workspace, in your people's hands.
Yes. Enterprise Asset Management is a paid application, and it needs to be installed before a build can begin. Phyllis checks that it's in place first, so a plan never assumes a capability your instance doesn't have.
Yes. Phyllis reads what's actually configured today and builds around it, respecting the platform's own rules so nothing lands half-formed. You get a coherent condition and risk programme that works on your instance, not a generic template dropped on top.
No. Phyllis explores your instance, proposes a plan, and only makes changes after you approve. Everything is staged in a reviewable, reversible change set — nothing is created or altered until you say go.
Every finding is cited back to the record it came from in your own instance, not assumed from out-of-box defaults. She reads what you actually have — including empty lists and half-built frameworks — so the plan reflects your reality.































