predictive-intelligence

Name: predictive-intelligence
Availability: InStock
Author: serac

Predict ServiceNow record outcomes for automated routing and categorization.

77|23|Updated Jul 16, 2025

Search Tags:#classification #similarity #ml #anomaly-detection #machine-learning #servicenow #predictive-intelligence

Ready to run

npx skills add https://github.com/serac-labs/serac --skill predictive-intelligence-serac-labs

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: predictive-intelligence
Source: https://github.com/serac-labs/serac/tree/main/packages/opencode/src/bundled-skills/predictive-intelligence
Command: npx skills add https://github.com/serac-labs/serac --skill predictive-intelligence-serac-labs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Predictive Intelligence automates decision-making for ServiceNow records by applying machine learning to classify, route, and recommend actions, reducing manual effort and errors.

Core Features & Use Cases

Classification: auto-categorize incidents, changes, and cases.
Similarity & Clustering: find related records and group similar items for faster triage and insight.
Regression & Recommendations: predict numeric outcomes and suggest next actions to agents.
Use Case: Deploy a predictive model to route high-severity incidents to senior engineers with suggested next steps.

Quick Start

Train an ML solution on your incident data to generate real-time predictions for categorization and routing.

Frequently Asked Questions about predictive-intelligence

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate incident routing and categorization in ServiceNow?▼

Predictive Intelligence automates ServiceNow incident routing and categorization by applying machine learning classification models to historical records, generating real-time predictions for proactive triage and assignment.

What is anomaly detection and how does it work for ServiceNow records?▼

Anomaly detection for ServiceNow records uses machine learning clustering algorithms to identify statistical outliers and unusual patterns in numeric data, flagging incidents or changes that deviate from normal operational behavior.

Can I use machine learning to find similar incidents and cluster related cases?▼

Yes, machine learning similarity and clustering algorithms group related ServiceNow records by matching text and numeric features, enabling faster triage by surfacing similar incidents, problems, and changes for consolidated resolution.

What's the best way to predict numeric outcomes and recommend next actions to agents?▼

Train regression machine learning models on historical ServiceNow data to predict numeric outcomes and suggest next actions, enabling the platform to recommend proactive steps to agents during triage.

How do I train an ML solution and test prediction accuracy for ServiceNow classification?▼

To train an ML solution and test classification accuracy, define the ml_solution and related ML tables, train the model on historical incident data, then use the provided tooling to validate predictions and monitor model accuracy.

What are the prerequisites for setting up Predictive Intelligence in ServiceNow?▼

Prerequisites for Predictive Intelligence include defining the ml_solution and related ML tables, gathering sufficient historical incident or change records for training, and configuring the tooling to test predictions and monitor accuracy.