Predictive

Manual triage and reactive operations can't scale

The solution

ServiceNow Predictive Intelligence applies machine learning to operational data — automatically categorising, routing, and prioritising work based on patterns learned from historical records. Rather than relying on manual triage rules that become outdated, ML models continuously improve as they process more data. Pulsar implements Predictive Intelligence across ITSM, HR, and security workflows, training models on your historical data and configuring them to drive automated routing, priority prediction, and similarity-based recommendations. The result is faster resolution, reduced misrouting, and proactive identification of emerging patterns.

Practice

AI & Data Analytics

The foundation accelerator powering intelligent automation, predictive insights, and data-driven decisions across every practice.

Outcomes

What you can expect

01

Automated incident categorisation and routing reducing manual triage effort and misrouting rates

02

Priority prediction based on historical patterns ensuring critical issues get immediate attention

03

Similar record recommendations helping agents resolve issues faster using proven solutions

04

Demand forecasting identifying workload trends for proactive capacity planning

05

Continuous model improvement as ML algorithms learn from every new record processed

06

Reduced mean time to resolution across enabled workflows through intelligent automation

Delivery journey

From first assessment to full velocity

Assess

Assess historical data quality and volume across target modules to validate ML model viability.

Foundation

Train initial models on historical data for categorisation, routing, and priority prediction.

Enhance

Deploy models in shadow mode, validate accuracy, and tune before enabling automated actions.

Optimise

Enable full automation with outcome monitoring, model retraining schedules, and expansion to additional use cases.

Bring Predictive Intelligence to your platform

We'll show you exactly what good looks like — with the people who've delivered it before.