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Ultra
ITSM

Change that governs itself — risk-scored, board-approved, and freeze-aware.

Phyllis builds and extends your whole ITSM practice — any process, from change to request — grounded in your live instance and staged for your approval.

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A quick scroll through what Phyllis can do

Scan change estate

Show me where change governance is exposed and how unassessed changes slip through.
ServiceNowSonnet 5 Low

Normal Change model

Stand up a governed Normal Change process with the full assess-to-close lifecycle.
ServiceNowSonnet 5 Low

State transitions

Wire the lifecycle transitions and drop rejected changes back to Assess for rework.
ServiceNowSonnet 5 Low

Risk assessment

Build a change risk questionnaire that scores every change and sets its risk level.
ServiceNowSonnet 5 Low

Risk conditions

Flag production and business-hours changes as High risk automatically.
ServiceNowSonnet 5 Low

Approval policy

Route High and Moderate risk changes to the Change Advisory Board at Authorize.
ServiceNowSonnet 5 Low

CAB definition

Stand up a weekly Change Advisory Board with its members and a Thursday slot.
ServiceNowSonnet 5 Low

Change schedule

Set an end-of-quarter freeze window that flags any conflicting change scheduled into it.
ServiceNowSonnet 5 Low

Standard template

Add a pre-approved template for routine server restarts with implementation and backout plans.
ServiceNowSonnet 5 Low

Conflict detection

Confirm conflict detection is checking every affected service and infrastructure item.
ServiceNowSonnet 5 Low

Affected CI approvals

Show which technical approvals a change pulls in from the services it touches during Assess.
ServiceNowSonnet 5 Low

Post-build scan

Scan the staged change build and stage anything that can be safely healed.
ServiceNowSonnet 5 Low

Scan change estate

Show me where change governance is exposed and how unassessed changes slip through.
ServiceNowSonnet 5 Low

Normal Change model

Stand up a governed Normal Change process with the full assess-to-close lifecycle.
ServiceNowSonnet 5 Low

State transitions

Wire the lifecycle transitions and drop rejected changes back to Assess for rework.
ServiceNowSonnet 5 Low

Risk assessment

Build a change risk questionnaire that scores every change and sets its risk level.
ServiceNowSonnet 5 Low

Risk conditions

Flag production and business-hours changes as High risk automatically.
ServiceNowSonnet 5 Low

Approval policy

Route High and Moderate risk changes to the Change Advisory Board at Authorize.
ServiceNowSonnet 5 Low

CAB definition

Stand up a weekly Change Advisory Board with its members and a Thursday slot.
ServiceNowSonnet 5 Low

Change schedule

Set an end-of-quarter freeze window that flags any conflicting change scheduled into it.
ServiceNowSonnet 5 Low

Standard template

Add a pre-approved template for routine server restarts with implementation and backout plans.
ServiceNowSonnet 5 Low

Conflict detection

Confirm conflict detection is checking every affected service and infrastructure item.
ServiceNowSonnet 5 Low

Affected CI approvals

Show which technical approvals a change pulls in from the services it touches during Assess.
ServiceNowSonnet 5 Low

Post-build scan

Scan the staged change build and stage anything that can be safely healed.
ServiceNowSonnet 5 Low
ServiceNow
Phyllis
Jira
Solutions

Works with the stack you already run

Questions?

We’re glad you asked.

What does Phyllis actually build for Change Management?

You get a working, governed change process rather than a pile of half-configured settings: the change model and its lifecycle, risk assessment with scored thresholds, the approval routing to your board, and a Change Advisory Board with its schedule and review scope. Everything lands in one reviewable package so it can be inspected and moved as a single unit. The outcome is change governance that's ready to operate.

Does she work with the built-in change process instead of scripting around it?

Yes. She builds change governance the native, upgrade-safe way and steers clear of custom code that reinvents behaviour the platform already provides. If a request would duplicate built-in change capability, she flags it. Your process stays clean, standard, and easy to maintain.

What does she need before building change governance?

A healthy CMDB helps, because technical approvals and conflict checks draw on the services and infrastructure a change touches. She also reads your existing change configuration first, so she designs to how you actually run change today rather than to out-of-box defaults. The result fits your environment, not an idealised one.

Does anything change on my instance without me approving it?

No. Phyllis reviews and proposes; nothing is written until you approve. Every record is staged in a package you can inspect first, and she never completes or activates it on your behalf. You stay in control.

How do I trust her findings?

Every finding is cited back to your live instance — the change model, the risk rules, the advisory board, the actual configuration values. She reads what's really configured today rather than assuming, so the plan reflects your environment. You get verifiable evidence, not guesses.

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