Give the issue an owner.
An actionable finding can lead to a remediation task, with the reason and recommended next step. People review and carry out the change.
Neo.AI / A SwissNow IT application
Less guesswork.
A clearer next action.
Proactive scans for platform health. AI assistance for script development. Neo.AI brings evidence and decisions together inside ServiceNow.
The workflow
From observation
to a reasoned decision.
Scans gather available evidence. Deterministic rules handle clear cases; AI evaluates cases that need context. The resulting finding keeps the decision and its explanation together.
How Neo works
Illustration only · fictional examples · no live resultsOBSERVE → UNDERSTAND → FOLLOW UP
Look at the selected scope.
Enabled scans inspect the configured areas of an instance. Coverage depends on settings and available records.
Selected records → observations
Explore a decision
A remediation task can be created. A person reviews and carries out the change.
EXPECTED → OBSERVED → COMPARE
Start with labelled examples.
A separate benchmark uses prepared examples and expected outcomes. These are evaluation cases, not findings from a live operational scan.
Example case → expected decision
Benchmark evaluation is a separate quality workflow. It does not create operational remediation tasks.
1 / 6
A simplified illustration of the product experience. Examples do not represent a live scan or measured performance.
Three outcomes, made clear
A finding is a record.
A task is a next action.
Evidence makes a finding understandable. Not every finding warrants a remediation task.
Keep uncertainty visible.
The finding needs human judgment. No remediation task is created for this outcome. Reviewers inspect the saved finding and its evidence in Neo.
Keep the decision traceable.
No remediation task is created. The finding retains the decision and explanation; use the relevant filters to include no-action results.
A failed or incomplete scan is a separate operational condition. It must not be interpreted as a clean bill of health.
Coverage
Seven ways to look
closer at your instance.
Enable and configure the categories relevant to your environment. Coverage depends on scan settings, accessible records and available context.
01
Slow transactions
Investigate slow execution with the available transaction context.
02
Job conflicts
Identify scheduling issues and jobs that need attention.
03
Code review
Review scripts for maintainability, risk and performance.
04
Knowledge quality
Surface knowledge content that may need correction or review.
05
Security audit
Inspect access controls and surface potential exposure.
06
Translations
Identify missing translations across configured languages.
07
Flows & integrations
Review flow and integration risks with relevant context.
Beyond monitoring
Help with the code
you’re writing today.
The on-demand AI Script Optimizer supports a human review workflow. Examine a suggested improvement, compare it with the original, and decide what to apply.
01 / PROVIDE CONTEXT
→Select a script.
Start from the code and the task you need to accomplish.
02 / REVIEW THE SUGGESTION
→Understand the change.
Assess the proposed code and explanation against your requirements.
03 / VALIDATE & APPLY
Keep the final say.
Test in a suitable environment before adopting a change.
For enterprise teams
Useful AI needs
clear boundaries.
Where does AI fit?
Neo combines deterministic checks with AI assessment. AI is useful for contextual judgment; clear rule-based cases do not always require a model call. Model output still needs appropriate validation and human oversight.
Does Neo change production automatically?
The monitoring workflow surfaces findings and warranted remediation tasks. A task is a recommendation for follow-up, not proof that a fix has been applied. Your team controls remediation.
What should we cover in a demo?
Scan scope, roles, the configured AI provider, outbound data handling, usage controls, review queues and evaluation results for your scenarios. These details should be assessed against your enterprise requirements.
How is the application built?
Neo.AI is built with the ServiceNow SDK using source-driven development. Application definitions, scripts and dashboard components are maintained in the repository.
See the complete workflow
Bring a real question.
Let’s walk through Neo.
Request a Neo.AI demo ↗Explore a scan, inspect its evidence, and follow the decision through to review or a task.