AI CASE Triage and routing for service teams
Service Predictions
Help agents handle customer service calls in seconds. Use your existing service data to classify calls and identify the best resolution steps.
Get a demoOutdated Triage Processes Slows Service
Over-Reliance on Messy or Incomplete Case Data
Rigid, Rules-Based Routing Workflows
No Feedback Loop to Inform Future Cases
How Neuron7 Helps
Triage and Route Calls Accurately
Neuron7’s AI looks at your service data in real time, figures out exactly what the issue is, and sends it straight to the person best equipped to fix it. No more cases bouncing between teams. The right expert gets it right away.
See What’s Coming Before It Happens
AI-powered predictions analyze historical cases, IoT signals, and service trends to forecast likely issues before they occur. Teams can act early to prevent downtime, reduce repeat visits, and address problems before customers are impacted.
Turn Predictions Into Service Insight
Predictions are only valuable if you can act on them. With Intelligent Service Predictions, every forecast comes with a clear next step, from lining up the right parts to scheduling a technician, so your team can move quickly and stay ahead.
SEAMLESS INTEGRATIONS
Take your service platform to the next level.
Neuron7 integrates within your existing service environment.
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Faster Triage for Better Service
Real AI-based Triage
Most AI tools look at what has already happened. Service Predictions is built to analyze patterns in service data and identify what is likely to happen next, giving teams the chance to act before issues escalate.
Available Anytime, Anywhere
Predictions appear in the tools your teams already use, whether in the field, in the contact center, or in engineering, so action can be taken immediately wherever the work happens.
Turn Insight into Preparedness
Service Predictions identifies likely failures and recommends the next best action, from scheduling maintenance to ordering parts, so your team is ready before downtime occurs.
Close the Loop with Product
Predicted issues and resolution outcomes flow back to product and engineering teams, enabling proactive design improvements and reducing repeat problems over time.
