Many enterprise clients who manage IoT lines through AT&T, T-Mobile, or other mobility providers have historically operated on Pod 11 within Cisco Jasper (Control Center). Over the last year, however, carriers have been transitioning customers to Pod 17 or Pod 19 , as the legacy pod approaches deprecation. The newer pods promise better API performance, updated security and identify management, more reliable lifecycle automation, and overall improved system stability. Ideal

Over the past year, I've been integrating AI into different parts of my mobility expense management workflow. Not through massive projects, but through small, practical steps that make daily work faster, cleaner, and more scalable. One of the biggest wins has been using AI APIs to automate tasks that used to require a lot of manual review. Automating Rate Plan and Device Classification I first used AI to identify rate plan allowances by analyzing plan descriptions. Normall

Managing enterprise mobility cost has long been a tedious and manual process. For many organizations, identifying rate plan allowances buried in carrier invoices requires hours of research and cross-referencing. This step, though essential to accurate cost optimization, often slows down analytics teams and limits how quickly insights can be delivered. The Challenge: Manual Data Interpretation Traditionally, mobility analysts manually review each rate plan description to det

An executives-friendly take on the Niquivest method for mobility invoices. Every month the wireless bill lands, the number moves, and someone asks, "Why?" The right answer isn't a data dump; it's a short, confident read on what changed and what we're doing about it. That's what the Niquivest approach gives you. No equations, just a consistent way to separate signal from noise. The three levers (plan English) When spend shifts, one of three things moved: Rate (the price y

AI keeps getting smarter. But for wrapping an API in an IT/mobility cost workflow, does chasing the newest model actually matter? It depends on the task. My use case here: analyze mobility data across invoice months, surface drivers, and generate a short explanation. Models I tested (price reference) Prices change, so treat these as reference points and always check OpenAI's page for current rates. Model Input Output gpt-4.1-mini $0.40 $1.60   OpenAI gpt-4.1-nano $0.10 $0.

In large enterprise mobility programs, cost leaks can go unnoticed for months or even years before they're spotted in a post-billing review. By that point, overcharges have already accumulated, dispute windows may have closed, and budget overruns have already hit. The reality is that most mobility audit processes are reactive. They look for errors after the bill is issued. By then, the best outcome is a credit or refund, which can take months to process and rarely covers

If you've ever scroll through a 15-tab Excel workbook looking for "the insight," you know the feeling: eyes glazed over, fingers hovering over CTRL+F, hoping some meaningful number will jump out and explain itself. Welcome to spreadsheet fatigue, the silent killer of telecom audit productivity. Recently, I decided to fight back... not with more pivot tables, but with AI. The Problem: Too Much Data, Not Enough Insight As part of a monthly mobility audit, I analyze thousands o

Accurate forecasting is essential for businesses managing telecom expenses. Whether you're tracking smartphone data usage or IoT connectivity patterns, understanding what drives your mobility data - and how - is the first step toward selecting the right forecasting model. A core challenge is that mobility data is rarely straightforward. It often includes: Long-term growth trends Seasonal usage spikes Unexpected noise like network outages or promotional surges This is where

Artificial intelligence is no longer a fringe tool. It's a central to how enterprises operate, compete, and deliver services. But while most organizations focus on the compute side of AI (e.g., GPUs, model training), many overlook a critical enabler: the network. As AI workloads surge, they are reshaping how enterprises must plan, provision, and pay for their networks. The New Shape of Enterprise Network Traffic Traditional enterprise network traffic was largely predictabl

Imagine slashing hours off your technology expense management (TEM) workflow, catching billing errors before they cost you thousands, and forecasting tech budgets with uncanny accuracy all with a few lines of Python code. That's the power of AI agents, and they're revolutionizing how business handle IT and telecom expenses. In this post, we'll explore how AI agents are transforming TEM, how Python became the go-to language for building them, and how you can start developing

Discover how AI like LangChain can automate mobile roaming management, enhancing efficiency and cutting costs for corporate travel.

Introduction In the age of constant connectivity, managing mobility expenses is crucial for companies striving to maintain efficiency while keeping cost under control. For management teams looking to optimize their organization's mobile spending - from employee wireless plans to international roaming fees - new AI tools like LangChain offer a compelling solution. This blog introduces LangChain and explores how it can revolutionize mobility cost management, even for those un

In the world of technology expense management, providers have long relied on a variety of descriptive reports to empower decision-making. These reports range from general ledger allocations to circuit disconnect analyses and other audits. While these insights are valuable, they often hit a ceiling in terms of depth and flexibility when relying solely on SQL. This limitation becomes apparent in more complex scenarios. For instance, consider the challenge of managing circuit

Introduction: In the realm of data management, the importance of an analytic mindset cannot be overstated. This mindset is not just about crunching numbers; it's about understanding the journey of analytics, from the initial goal-setting to the final analysis. It involves recognizing the objectives at each step and using them to guide our approach to problem-solving. Understanding the Iterative Nature of Analytics: An often-overlooked aspect of data analysis is its iterativ

Are you facing challenges in building a pristine technology asset inventory with accurate service addresses? Capturing precise service addresses in essential for managing your technology asset costs and ensuring customer satisfaction. Inaccuracies in provisioning and ordering data are common, particularly with multiple acquisitions from varied systems. While the extraction of data from invoices might seem like a direct approach, navigating through myriad Billing Account Nu

In the bustling realm of the telecom industry, a nuanced understanding of domain-specific language is more than just a nicety - a necessity. The sector has replete with its unique set of jargons and abbreviations, a labyrinth of terms that Natural Language Processing (NLP) models must navigate with precision. The goal? To prevent the ripple of miscommunication and foster a seamless interaction between humans and machines. Now, the market is swash with large language models

In the rapidly evolving landscape of technology, Artificial Intelligence (AI) stands as a beacon of innovation, driving efficiency, and revolutionizing operational processes across industries. One domain where AI's influence is palpably transformative is Technology Expense Management (TEM). The burgeoning trend of AI democratization, making AI accessible to all irrespective of technical expertise, is catalyzing a new era of cost efficiency and optimized expense management in

In the United States, carriers often offer a variety of mobility plans at different price points, each with varying data usage bandwidth. Enterprise customers have the option to pool and share devices across individual plans. The primary objective is to reduce the total cost of these plans while minimizing the risk of incurring overage charges. Large carriers like AT&T Mobility and Verizon Wireless provide the flexibility for enterprises to modify individual plans before th

Every business operates through a set of processes, characterized by inputs and outputs. Throughout these processes, values is generated by augmenting data with actionable insights, among other enhancements. However, a significant portion of these processes remains manual, costing businesses a substantial amount of money and squandering resources that could be utilized elsewhere. A key area I've explored is the extraction of accurate data from invoice operations. While basi

Introduction: In today's hyper-connected world, managing mobility expenses presents a complex challenge for many businesses. Whether you're a small firm with a handful of devices or a sprawling enterprise with tens of thousands, the costs can easily escalate if not managed effectively. As a manager responsible for these expenses, you may have grappled with questions like: How can I distribute data among users to avoid overage charges? Should I move high-usage users to unli