Eliminate Mobile Spend Waste Automatically
AI-powered mobility billing optimization continuously analyzes carrier invoices, usage data, and contract terms to identify billing errors, rate plan mismatches, unused features, and renegotiation opportunities — typically finding 15-25% savings in enterprise mobile spend without any service changes.
What RLM Delivers on Mobility Billing Optimization
Enterprise mobile billing is systematically complex — multiple carriers, hundreds of rate plans, pooled data provisions, international roaming, and IoT lines all on invoices that would take a full team to manually optimize. AI billing optimization does this continuously and automatically.
How We Approach Mobility Billing Optimization
Every Mobility Billing Optimization engagement starts with what you have today and ends with something running in production — with independent evaluation in between.
Mobile Spend Baseline Audit
We analyze 3-6 months of carrier invoices across your enterprise mobile fleet — identifying billing errors, unused lines, rate plan mismatches, and contract optimization opportunities — and quantify the savings available before any platform investment.
Billing Optimization Platform Evaluation
We evaluate mobility expense management platforms — Tangoe, MOBI, Cass Information Systems, and others — against your carrier mix, fleet size, and billing optimization objectives.
Automated Invoice Auditing Design
We design the automated invoice auditing logic — checking each line item against contracted rates, identifying usage-plan mismatches, flagging unbilled credits — that runs every invoice cycle without manual review.
Rate Plan Optimization Engine
AI rate plan optimization continuously models the optimal plan assignment for each device or user group based on actual usage patterns — identifying moves that reduce cost without degrading the user experience.
Mobility Billing Optimization Selection Criteria
What follows is the Mobility Billing Optimization evaluation checklist we actually use — the criteria that predict outcomes rather than demo well.
Billing Error Detection Rate
How effectively does the platform identify billing errors — rate discrepancies, incorrect feature charges, unbilled credits — across your carrier mix? Validate on a representative sample of your actual invoices.
Carrier Coverage
Billing optimization is only as good as the carrier integrations. Evaluate coverage of your specific carriers — T-Mobile, Verizon, AT&T, international carriers — and the depth of invoice data ingested.
Rate Plan Optimization Accuracy
Rate plan recommendations that create more problems than they solve (degraded coverage, higher overages) erode trust. Evaluate optimization recommendation accuracy on your actual usage data.
Time to First Savings
How quickly does the platform identify and act on billing optimization opportunities? Evaluate time from deployment to first invoice savings, and the ongoing savings rate over the first year.
Exception Handling & Dispute Management
Identified billing errors must be turned into carrier disputes with supporting documentation. Evaluate the dispute management workflow and the platform's track record of successful credit recovery.
Integration with Finance Systems
Billing optimization data must flow into your expense management, AP, and cost allocation systems. Evaluate integration with your finance stack and the reporting required for cost allocation by cost center or business unit.
"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."
No upfront fees, no retainer, and no obligation to act on what we find.
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 Mobility Billing Optimization Right?
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