SwissNowYour instance,
audited on its own.
neo.ai watches the parts of a ServiceNow instance that normally only get looked at when something breaks — and when it finds something worth acting on, it explains exactly what to do about it.
The work doesn't
disappear. It just waits.
A misconfigured ACL, a slow page nobody's traced, two jobs quietly colliding at 2am, a flow running as an admin with no filter on it — none of it pages anyone. It sits until an audit, an incident, or a professional-services engagement goes looking for it.
- Found reactively — after an incident, or on a scheduled audit
- Diagnosis takes a person's time before a fix is even possible
- "Here's a problem" without "here's the fix"
- Every finding treated the same, noisy or not
- Found on schedule, before it's someone's incident
- AI reads the actual record and writes the diagnosis
- Every actionable finding ships with a recommended fix
- One-off noise is recorded, not escalated
Scan to fix,
in four steps.
Scan
Runs against the real tables — ACLs, scripts, transaction logs, scheduled jobs, flows — filtered to what your team actually built, not ServiceNow's own baseline content.
Structured finding
Every candidate is recorded with its source record, category, and full context — nothing is judged blind, and nothing is silently skipped.
AI judgment
A model reads the finding in context and decides: is this actually a problem, how severe, and does it need a task — or is it clean and gets recorded quietly.
Explained task
Actionable findings become a remediation task with a written, step-by-step recommended action — routed to a group, not left as an alert to interpret.
What it watches.
Security Audit
ACLs and role grants that look over-permissioned for what the record actually protects.
Code Review
Business rules, script includes, UI actions and client scripts — correctness, security, best practice.
Slow Transaction Analysis
Pages and transactions past a set threshold, diagnosed down to which layer — client, server, SQL — is actually slow.
Job Conflicts
Scheduled jobs whose run windows overlap, before they collide in production.
KB Articles
Knowledge content checked for inaccuracy against what the platform now actually does — not just article age.
Missing Translations
Gaps in translated labels, choices and messages as new languages come online.
Flows/Integrations
Flows running as an elevated identity with no condition narrowing which records they touch.
Real value,
not an alert feed.
The fix ships with the finding
Not "review this ACL" — a written recommended action, in the task, ready to hand to whoever owns it. The work neo.ai replaces isn't the detection, it's the professional-services hours spent figuring out what a finding even means.
It waits for the pattern, not the fluke
A single slow transaction can be a cold cache or a network blip. neo.ai groups occurrences by root cause and only escalates once the same one has genuinely recurred — so a task means something when it lands.
Clean is a result too
A reviewed record with nothing wrong is recorded and never re-billed to AI on the next run — it just stays out of the list you actually have to look at.
Runs in the open.
The instance keeps watching itself.
You keep the fixes worth your time.
Seven categories, one review contract, every finding explained — running on your own ServiceNow instance, on its own schedule.
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