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.
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.
Every engagement follows a structured process — from discovery and vendor evaluation to pilot design and scale — adapted to the specific constraints and maturity of your organization.
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.
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.
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 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.
These are the evaluation dimensions that consistently separate successful deployments from expensive pilots that never reach production scale.
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.
Validate Virtual Agent first-contact resolution rates against your actual high-volume request categories in a controlled pilot before broad deployment.
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.
ServiceNow releases Now Intelligence updates frequently. Evaluate how AI configuration customizations are maintained through platform upgrades to avoid regression risk.
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.
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.
"RLM brought structure to a process we didn't know how to start. They asked the right questions, surfaced the right vendors, and kept us from making decisions we would have regretted."
"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."
Start with a no-cost conversation with an RLM AI advisor — vendor neutral, no agenda, just clarity.
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