Custom apps that ship themselves — modelled, automated, secured, and staged for approval.
Phyllis builds and extends complete custom applications — any data model, automation or access model — 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 the estate
Scaffold a scoped app
Model the table
Seed choices
Lay out the form
UI policy
Business rule
Approval flow
UI action
ACLs + roles
ATF smoke test
Scan the update set
Scan the estate
Scaffold a scoped app
Model the table
Seed choices
Lay out the form
UI policy
Business rule
Approval flow
UI action
ACLs + roles
ATF smoke test
Scan the update set

Questions?
We’re glad you asked.
A complete custom application: its data, forms and layouts, list views, navigation, the rules and automation that make it behave, approval workflows, and the roles and access that keep it secure.
Everything lands inside its own app boundary, packaged so it can be exported, cloned, and promoted cleanly between environments.
Yes. Phyllis favours configuration over custom code wherever the platform supports it, so what she builds stays maintainable and survives upgrades.
Automation is built to resolve cleanly when the app is cloned into another environment, rather than breaking on hardcoded assumptions.
Yes. For anything beyond a simple rule she builds a proper workflow — triggers, actions, approvals and branching — and shows you a diagram of exactly what she wired.
For integrations she first checks what your instance is actually licensed for and works within that, so the plan never assumes tooling you don't have.
No. Phyllis reads your instance, proposes a plan, and waits. Nothing is created until you approve.
Every artefact is packaged so you can review, promote, or roll it back cleanly.
Every finding is cited to your own live instance rather than assumed from defaults, so the plan reflects what you actually have today.
You see the evidence behind each recommendation before you approve a single change.































