$ governed ai delivery for servicenow teams

Your ServiceNow development team, multiplied by AI

Describe, build, review, and ship ServiceNow as native code on the official SDK, across every instance you run. Every build grounds itself in real docs and your live instance, with the proof, gated on best practice. AI drafts; your governance decides what ships.

Book a demo See it in action
aitheor, delivery pipeline · governed running
01
Tell us what you need
or import from ServiceNow, Jira, ADO
02
Build, grounded
docs, SDK, APIs, Community, KB, your instance
03
See the proof
sources read, instance findings, gotchas
04
Expert review
checked against your standards
05
Native code with tests
supportable code, with tests
06
Deploy and verify
one build, across your instances
build passed built, reviewed and verified on your instance v0.0.1
The lifecycle

Build, operate and modernize, one governed loop

Agents carry a story from request to running, then keep the platform current, with the proof attached at every step.

01
Build
AI agents draft and generate native ServiceNow, grounded in your docs, gated against best practice, test-covered.
02
Operate
Promote across instances with approval gates and rollback, and keep what's live healthy and auditable.
03
Modernize
Refactor legacy update sets to native code, retire anti-patterns, and bring the platform to current standards.
Built for regulated industries
Banking Government Healthcare Insurance Telecom Energy & Utilities Manufacturing Public Sector Banking Government Healthcare Insurance Telecom Energy & Utilities Manufacturing Public Sector
How it works

From a backlog story to a deployed app, governed end to end

Six steps. Every one of them transparent, reviewable, and logged.

aitheor, x_int46_req · governed step NaN / 06
Why teams switch

Most AI tools generate and hope. Ours is governed by design.

A four-layer quality system wraps every build, so what ships follows ServiceNow best practice, not the model's guesswork. It even reviewed the story that built this very platform.

01
Your best-practice standards
Catalog variables over OOTB fields, group-based fulfilment, Flow Designer over legacy Workflow. Your rules, enforced on every build.
02
Expert review, automated
A best-practice SME review checks the backlog against your standards and flags what needs a second look.
03
You control what ships
Nothing is deployed until a reviewer signs off. Promotion gates are not optional and not a setting you can quietly skip.
04
Learnings that stick
Approve a correction once and it becomes a permanent guardrail on every future build, for your whole team.
SME review · quality gate best practice
Removed custom roles, gate fulfilment via assignment group
supportability
Removed field ACLs on catalog variables, use variable roles + UI policy
security
New table missing ACLs, added read / write / create
security
Legacy Workflow → Flow Designer subflow
best practice
→ 12 auto-corrected 4 awaiting approval
Platform

Everything your agents need to ship, in one workspace

Intake, grounded build, review, pipelines and deploy, autonomous where it helps, governed where it counts, on the SDK you already trust.

INTAKE
Story-driven delivery
Import from ServiceNow, Jira or ADO. AI builds each story into native code, grounded in real sources.
STRY0051341
grounded & built
GROUNDING
Grounded AI
Every artifact is grounded in real ServiceNow documentation. It builds. It never invents.
sdk-docs/glide-record.md
sdk-docs/flow-api.md
community/best-practice.md
PIPELINES
Pipelines & promotion
Promote one artifact across environments with approval gates.
dev test prod
PORTABILITY
Two-way update-set sync
Bring legacy update sets in, transform, push back, with rollback.
legacy.xml
app.now.ts
MODELS
AI in, or bring your own
AITHEOR AI is built in, or bring your own model, with failover.
model:
AITHEOR AI
your own key
local model
with failover
AITHEOR AI
your own key
CONSOLE
Live build console
Watch the agent ground, write and compile in real time.
grounding…
writing native code
verified on instance
GOVERNANCE
Governance evidence
Every change ships with an Architect Design Doc and an SBOM / AI-BOM.
ADD ✓ SBOM ✓
See it in action

The real workspace, in every scenario

Eight real builds, ITOM, GRC, Portal, HR, CMDB, Integration Hub, catalog and migration, each on the actual project surface.

aitheor · x_int46_itom deployed
StoriesFilesConsoleValidatePipelineHistoryInstance
ITOM Discovery & MID Server troubleshooting
grounding in discovery, scriptinclude-api, scripted-rest-api
writing ScriptInclude MidServerHealthUtils (Now.include JS)
writing Discovery sensor handler + heartbeat business rule
»quality gate: scoped GlideRecord, setLimit, no global ✓
build passed, verified on your instance
$
Built for the whole team

Built for everyone who ships on ServiceNow

Platform owner
Enforce standards org-wide. Every change is planned, reviewed and logged in a tamper-evident trail.
Architect
AI builds; your rulebook decides. Set guardrails, run SME review, keep the platform supportable.
Developer
Skip the CLI grind. Ground, build and verify in one place, edit the code by hand any time.
Business analyst
Turn a written story into a working app preview, no scripting required to see it take shape.
Security & compliance

Security and compliance, built in

Security and auditability are not an add-on. They're how the platform is built.

Enterprise SSO & RBAC
SAML / OIDC SSO with SCIM provisioning, granular roles, and per-instance OAuth with least-privilege scopes.
Encryption & key isolation
AES-256-GCM for secrets and BYO-AI keys, decrypted only server-side. SSRF-guarded outbound calls.
Tamper-evident audit
Hash-chained audit log with verification, plus OCSF / CEF export to your SIEM.
Self-hosted & air-gapped
Run entirely in your network with local models, no data leaves your environment.
SOX & GDPR tooling
Change-control evidence, data export & erasure, and update-set capture for regulated change.
White-labelling
Logo, colours, fonts and documents per tenant, your brand end to end, component code untouched.
Why AITHEOR

The speed of AI, the discipline of an architect

Speed
Best-practice gate
Native & supportable
Audit trail
AITHEOR
Hours
Built-in
Hand-coding / CLI
Days to weeks
,
Manual
Generic AI codegen
Fast
,
,
None
Offshore SI delivery
Weeks to months
Varies
Manual
From the field

What platform teams say

“I described the change, approved the plan, and the update set was in UAT before standup. The audit trail came for free.”
PO
ServiceNow Platform Owner
Global bank
“It builds the way our architects would, catalog variables over OOTB fields, group-based fulfilment, ATF on every story. The quality gate caught things our reviews missed.”
MA
Certified Master Architect
Healthcare enterprise
“Running it in our own VPC with our own keys, no Now Assist licence, was the only way this got through our security review.”
PE
Head of Platform Engineering
Public sector
AITHEOR + ServiceNow

Built on top of ServiceNow

AITHEOR builds on the official ServiceNow SDK and adds the delivery layer platform teams need around it, governance, cross-instance pipelines, audit and portability. Complementary, not a replacement.

Bring any model
Use AITHEOR AI, or bring your own model, hosted or local, no forced default.
Runs in your boundary
Self-hosted or air-gapped, with BYO-key encryption. Data and keys never leave your environment.
Cross-instance delivery
Dev → test → prod pipelines, rollback and governance across many instances, not locked to one.
Portable & supportable
Native ServiceNow code on the official SDK with two-way XML transform. Your code stays standard ServiceNow you own.
10 / FAQ

Questions, answered

Accelerate every ServiceNow sprint with AI agents you can trust.

Book a 30-minute walkthrough and we'll run a real story from your instance through describe → build → review → deploy, live.

Enterprise platform · bring any AI model · cloud or self-managed