Automate End-to-End Customer Service Processes — Not Just Individual Steps
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.
What RLM Delivers on Process Automation
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.
How We Approach Process Automation
Every Process Automation engagement starts with what you have today and ends with something running in production — with independent evaluation in between.
End-to-End Process Mapping
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.
Straight-Through Processing Design
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.
Process Automation Platform Evaluation
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.
Measurement & Exception Monitoring
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.
Process Automation Selection Criteria
What follows is the Process Automation evaluation checklist we actually use — the criteria that predict outcomes rather than demo well.
Straight-Through Processing Rate
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.
Integration with Core Backend Systems
End-to-end process automation requires tight integration with CRM, order management, billing, inventory, and fulfillment systems. Evaluate integration depth and data bidirectionality.
Rule Complexity Management
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?
Exception Handling & Human Fallback
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.
Customer Experience Quality
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.
Audit Trail & Compliance
Every automated customer service action must be fully logged — the inputs received, rules applied, actions taken, and outcomes — for regulatory compliance and dispute resolution.
"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."
Independent means we will tell you when the answer is to keep what you have.
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 →
Ready to Get Process Automation Right?
Start with a no-cost conversation with an RLM AI advisor — vendor neutral, no agenda, just clarity.
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