Unlock AI-Native ITSM with ServiceNow Now Intelligence
ServiceNow's AI capabilities — Now Intelligence, Virtual Agent, Predictive Intelligence, and the newer Now Assist generative AI — transform the platform from a ticketing system into an intelligent operations hub. RLM helps enterprises design, configure, and deploy ServiceNow's AI capabilities effectively.
What RLM Delivers on ServiceNow AI Agent
ServiceNow already powers IT operations for most large enterprises. RLM helps you activate the AI capabilities inside the platform you've already invested in — from predictive prioritization and automated routing to generative AI summarization and conversational self-service.
How We Approach ServiceNow AI Agent
Every ServiceNow AI Agent engagement starts with what you have today and ends with something running in production — with independent evaluation in between.
ServiceNow AI Capability Assessment
We assess your current ServiceNow configuration and identify the AI capabilities — Now Assist, Virtual Agent, Predictive Intelligence, Performance Analytics, CMDB Discovery — that would deliver the highest ROI in your specific environment.
Now Assist & Generative AI Deployment
We design and configure Now Assist deployments for case summarization, resolution note generation, agent coaching, and knowledge article creation — accelerating analyst productivity without replacing analyst judgment.
Virtual Agent Design & Knowledge Integration
We design the Virtual Agent conversation flows, integrate them with your fulfillment automation, and build the knowledge content that enables self-service resolution of your highest-volume request categories.
Predictive Intelligence Configuration
Predictive routing, categorization, and priority assignment reduce manual work on every ticket. We configure and tune Predictive Intelligence models on your historical data for maximum accuracy.
ServiceNow AI Agent Selection Criteria
What follows is the ServiceNow AI Agent evaluation checklist we actually use — the criteria that predict outcomes rather than demo well.
Now Assist Output Quality
Generative AI summaries, resolution notes, and agent coaching must be accurate and useful — not just plausible. Evaluate output quality on your specific case data before enabling for your analyst population.
Virtual Agent Resolution Rate
Validate Virtual Agent first-contact resolution rates against your actual high-volume request categories in a controlled pilot before broad deployment.
Predictive Intelligence Accuracy
Predictive categorization and routing accuracy depends on the quality and volume of your historical ITSM data. Validate against your data before configuring for production traffic.
Upgrade Path Compatibility
ServiceNow releases Now Intelligence updates frequently. Evaluate how AI configuration customizations are maintained through platform upgrades to avoid regression risk.
Licensing Cost Model
ServiceNow AI capabilities are licensed separately from the base platform. Evaluate the full licensing cost model — per-seat, per-use, or included in your current tier — before deployment planning.
Integration with Custom Applications
Most enterprises have custom ServiceNow applications. Evaluate how AI capabilities extend to custom apps and whether custom development is required to enable AI features in your specific configuration.
"What set RLM apart was that they didn't have a preferred answer. They evaluated our options honestly and told us what they actually thought."
We are paid by the provider you choose, which means we have no reason to steer you toward any particular one.
Where This Matters Most
Sector-specific considerations we see repeatedly in ai and automation engagements.
A Sample of the AI & Automation Providers We Evaluate






RLM is vendor neutral. These are among 600+ providers in our evaluation set — inclusion here is not an endorsement, and we are paid by the provider you choose, not by any provider in particular. How that works →
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