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Mobility AI

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.

Overview

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 Work

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.

1

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.

Invoice AnalysisBilling Error AuditSavings Quantification
2

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.

Platform EvaluationCarrier CoverageBilling Logic Assessment
3

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.

Audit Logic DesignError CategoriesException Handling
4

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.

Optimization ModelPlan MappingChange Workflow
What to Evaluate

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.

01

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.

02

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.

03

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.

04

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.

05

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.

06

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."

VP of IT — Regional Healthcare System

No upfront fees, no retainer, and no obligation to act on what we find.

A Sample of the AI & Automation Providers We Evaluate

AnthropicOpenAIGoogle GeminiMicrosoft CopilotObserve.AIKore.aiYellow.ai

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?

Start with a no-cost conversation with an RLM AI advisor — vendor neutral, no agenda, just clarity.

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