KPIs, scorecards and dashboards that build and keep themselves current.
Phyllis builds and extends your whole analytics operation — any KPI, breakdown, target or dashboard — 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
Scan analytics setup
Define a KPI
Count metric
Breakdowns
Targets & thresholds
Trend tracking
Formula KPI
Scorecard
Dashboard
Collection cadence
Share it
Reporting inventory
Scan analytics setup
Define a KPI
Count metric
Breakdowns
Targets & thresholds
Trend tracking
Formula KPI
Scorecard
Dashboard
Collection cadence
Share it
Reporting inventory

Questions?
We’re glad you asked.
The setup behind your numbers: the KPIs and metrics you want to track, the targets you measure them against, and the dashboards, scorecards and trend charts that make them easy to read.
The measured results themselves stay read-only. Phyllis configures the reporting engine that tracks your data; she doesn't hand-enter the figures.
It shows data. A KPI that never gets populated is the number-one cause of "I built it but nothing appears", so Phyllis sets up each metric to collect on the right cadence and confirms real numbers land on the tile before calling it done.
Daily measures fill in daily, and trends build up over time so you get a live picture rather than a blank chart.
Yes. Phyllis defines the goal for each KPI — whether higher or lower is better — so every metric reads against its target and a miss is obvious at a glance.
Trend charts show whether you're moving toward the goal or away from it, not just where you stand today.
Correct. Phyllis explores, proposes a plan, and only builds once you approve. Every change is staged for review and is reversible, and she never finalises or promotes anything on her own.
Any fixes she spots afterward are held for your sign-off before they run.
Every claim is cited to your own live instance — the metrics you already have, the data behind each one — rather than assumed from out-of-box defaults.
That matters on migrated instances, where reporting often drifts far from the shipped baseline. You see the evidence, not a guess.































