Process automation connects the dots between individual workflow steps — creating fully automated end-to-end processes for common customer service scenarios that run from first contact through resolution without human intervention for eligible cases.
Individual step automation reduces handle time. End-to-end process automation eliminates entire case categories from the human queue — handling the complete lifecycle of routine customer service scenarios automatically, at any hour, without staffing cost.
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 map your highest-volume, most-standardized customer service processes — order status, billing adjustments, account changes, return authorizations — from customer contact through resolution, identifying every step and decision point.
We design the straight-through processing rules for eligible cases — the conditions under which a case can be fully automated without human review — and the guardrails that protect against automation errors.
We evaluate end-to-end process automation platforms — Pega, Appian, ServiceNow, and CX-specific automation vendors — against your case management, CRM, and backend system landscape.
Automated processes must be monitored continuously for accuracy, exception rates, and customer satisfaction impact. We design the operational monitoring framework that keeps automated processes reliable.
These are the evaluation dimensions that consistently separate successful deployments from expensive pilots that never reach production scale.
The percentage of eligible cases completed without any human intervention. This is the primary value metric — validate against your actual case composition and rule complexity.
End-to-end process automation requires tight integration with CRM, order management, billing, inventory, and fulfillment systems. Evaluate integration depth and data bidirectionality.
Process rules evolve with business changes. Evaluate the tooling for rule management — how easily can non-technical business analysts update process rules without engineering support?
Automated processes encounter exceptions that require human judgment. Evaluate exception detection accuracy and the quality of the human queue handoff when automation reaches its limits.
Automated processes must deliver the same quality of outcome as human handling — not just process efficiency. Evaluate customer satisfaction and resolution accuracy for automated vs. human-handled cases.
Every automated customer service action must be fully logged — the inputs received, rules applied, actions taken, and outcomes — for regulatory compliance and dispute 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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