Typed ServiceNow tools
Every tool knows the table, the record and the scope it touches.
The AI teammate for ServiceNow.
She analyzes, plans, develops, tests and deploys — in your instance, in your own words. Every change staged for your approval.
25%
@ for records · / for commands
ISO 27001 certified
Per-user OAuth
No training on your data
Approval-gated changes
Lands in your update sets
5,000+ ServiceNow tools
230+ product skills
Hundreds of health checks
Jira & Agile 2.0 two-way sync
Context graph on every build
ATF where it applies
Every write read back
Tables and tools per instance
CMA-grade builds
01Built for the platform
Built for ServiceNow, end to end. Not a generic model with a connector.
Product skills
ServiceNow best practice, applied to every build.
Health checks
ServiceNow’s Instance Scan, run and read for you.
Accelerators
CMDB, tech debt, performance, licences and more — each ends in a report.
ServiceNow teams don’t need more advice. They need the work done — in the instance, grounded in their standards, and scanned with hundreds of checks before you sign off.
Grounded in your instance. Built to your standards. Shipped on your approval.
02What are you working on?
Whatever you’re working on in ServiceNow. She does the work.
Run the platform, implement a product, upgrade, or assess and clean up — done in your instance, grounded and safe.
Run the platform.
The everyday work — backlog, fixes, questions and health — done in your instance and scanned with hundreds of checks before you sign off.
See AnalyzeImplement a product.
ITSM, HRSD, CSM and every product in between — planned, built, tested and ready to promote.
See PlanUpgrade, on schedule.
Skipped records triaged, regression tested and released to test — on your approval.
See TestAssess and clean up.
CMDB, tech debt, performance, licences and AI readiness — each accelerator ends in a report you can hand over.
See Analyze03Context graph
One context graph behind every build. You, your business, your system.
Before Phyllis builds anything, she queries what she knows about you, your business and your instance — so every answer is cited and every build fits.
Grounded, not guessedEvery answer traceable to the records, conventions and conversations it came from.
Reused, not rebuiltShe checks what already exists before she builds — fewer duplicates, less tech debt.
User context
What we know about you: your role, the access your own OAuth token grants, and what you’ve asked and approved before.
Per-user accessBusiness context
What we know about your business: your conventions and standards, your backlog and meetings through Phyllis Plugins, and what worked last time.
Knowledge GraphSystem context
What we know about your system: the live instance — tables, ACLs, flows, update sets and every dependency — plus the docs for your release.
Analyze04Staged for approval
Phyllis builds. You approve. Phyllis verifies.
05Enterprise controls
You set the rules. Phyllis stays inside them.
Controls that hold at the connection itself — whichever tool, chat or workflow makes the call.
Production-safe by default.
Backlog only is enforced on every request — not just hidden from view — and production story sources start there.
Approved, read back, logged.
Every change is approved — card by card, or by approving the plan — then read back and checked.
You set the rules.
Choose which models your team uses; block tables and switch off tools per instance.
Per-user access.
Every person connects with their own OAuth token, so Phyllis can only do what they can.
06Every change, traced
Every change, traced end to end.
A complete case file: the sources she grounded in, every dependent found first, a log of every approval and write, and the scan and test results that prove it.
07In order
What a build does, in order.
Read the instance first
Phase 1 · AnalyzeTables, ACLs, flows and update sets mapped, with every dependent found — including references that only exist as names inside scripts.
Plan the work
Phase 2 · PlanSequenced stories with points and acceptance criteria, synced both ways with Jira or ServiceNow Agile 2.0.
Reuse before building
Phase 3 · Knowledge GraphYour conventions, what worked last time and the right skill pack. Existing records reused, not duplicated.
Build in an update set
Phase 4 · DevelopTables, business rules, flows and ACLs, scoped correctly. Every write read back and checked.
Prove it
Phase 5 · TestATF for what changed and an Instance Scan with hundreds of checks. Failures are fixed at the cause and re-run before you promote.
See how she testsApprove and promote
Phase 6 · DeployStaged with the design doc, scan and test results attached. Promoted on your approval.
08By role
One teammate for every role. Pick yours.
Whoever you are on the team, she takes the work you’d rather hand off.
“Turn yesterday’s HR workshop into stories.”
Business Analyst
Implement · Run“Build the warranty claim flow with approval over $5k.”
Developer
Run · Implement“Review this custom app against our conventions.”
Architect
Assess · Implement“Run a health scan on acme-prod and fix what you can.”
Platform Owner
Run · Upgrade“Sequence these update sets for release.”
Delivery Lead
Implement · Upgrade“Write ATF tests for the warranty claim flow.”
QA Engineer
Upgrade · Implement09Questions
Questions? We’re glad you asked.
Still curious? Talk to the team — or book a demo and ask Phyllis in your own instance.
01Can Phyllis change my instance without my approval?
No. Every change is built in a scoped update set and staged for review with the design doc, scan, and test results attached.
Promotion requires an explicit approval — nothing reaches production from chat.
02What does “CMA-grade” actually cover?
The discipline of a Certified Master Architect, applied to every build: correct scoping and naming, scan-clean code, proper ACL coverage, and ATF where it applies — with a design document alongside each change, every claim cited to the record.
03Does Phyllis replace Jira or ServiceNow Agile 2.0?
No — she sits alongside. Stories mirror into Jira or ServiceNow Agile 2.0 with two-way sync.
Adoption doesn’t depend on ripping out your existing stack.
04Which ServiceNow products does Phyllis cover?
All of them — ITSM, CSM, HRSD, ITOM, ITAM, SecOps, IRM, SPM, App Engine, Now Assist and the rest of the platform.
She analyzes, plans, builds, tests and deploys in each of them — and every one gets the same grounding, standards and approval.
05What access does Phyllis need in my instance?
She signs in as you. Per-user OAuth means she can only see and touch what your roles and ACLs already allow — nothing more.
Nothing to install to get started, no shared super-admin account — she works entirely under your existing security model.
06Where does my data go?
Zero retention at the model provider — nothing is kept to train a model, and findings live inside your instance. The audit trail is written per operator, per action.
The full posture — encryption, authentication, sub-processors — lives on the security page.
07What can Phyllis actually build?
The real records — catalog items, Flow Designer flows, business rules, client scripts, UI policies, ACLs and AI Agents — wired together, scoped correctly, and delivered in connected update sets — across every ServiceNow product.
11Get started
Ready to 10× the team you already have?
Your instances, your backlog and your meetings on one side; the Phyllis Knowledge Graph on the other. Phyllis does the work in between.