Zero touch IT operations use AI and automation to handle routine IT tasks — ticket routing, fulfillment, diagnostics, and remediation — without human intervention. The result is faster resolution, lower cost, and IT staff freed to work on higher-value initiatives.
Manual ticket handling, repetitive provisioning tasks, and routine diagnostics consume a disproportionate share of IT capacity. Zero touch operations automates the predictable so your team can focus on the complex.
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 analyze your current ITSM data — ticket categories, volume, resolution time, escalation rates — to identify the automation opportunities with the highest ROI and lowest implementation risk.
We evaluate AI-powered ITSM and automation platforms — ServiceNow, Freshservice, Atlassian, and automation overlays like Moveworks, Aisera, and 1E — against your ticket categories and environment.
Common fulfillment requests — software installation, access provisioning, password resets, device configuration — are ideal automation candidates. We design the end-to-end automated fulfillment workflows with appropriate approvals.
End-user self-service dramatically reduces ticket volume. We design the AI-powered self-service experience — conversational interfaces, guided troubleshooting, automated fulfillment — that resolves issues before they become tickets.
These are the evaluation dimensions that consistently separate successful deployments from expensive pilots that never reach production scale.
How many tickets does the platform prevent through self-service resolution? Evaluate against your current ticket volume and category distribution — not vendor average benchmarks.
Which ticket categories can be fully automated? Which require human approval? Evaluate coverage against your specific high-volume categories — password resets, software requests, access provisioning.
Conversational AI interfaces must accurately understand IT requests in natural language, including typos, unusual phrasing, and domain-specific terminology. Test extensively before deployment.
Automated provisioning requires integration with Active Directory, Okta, MDM, and software management platforms. Evaluate integration depth and the catalog of available fulfillment actions.
Automation value grows over time as new categories are added. Evaluate analytics capabilities that identify automation expansion opportunities based on ongoing ticket data.
Self-service adoption requires employee trust in the system. Evaluate the onboarding experience, feedback mechanisms, and escalation paths that build confidence in automated resolution.
"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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