Most large enterprises, governments, hospitals, and utilities still run decades-old, power-hungry telecom systems that rely on hardware long past its design life. These circuit-switched networks handled voice calls and early data traffic. This is insufficient in our new era that demands 100 Gbps, 400 Gbps, and even terabit speeds for applications like 5G, cloud computing, and high-definition streaming. Due to high costs and operational inefficiencies, the industry has reached a critical point where legacy systems are being decommissioned. But one problem remains: legacy services are still being billed even though they are unused or disconnected.

Complexity across invoices, contracts, and service inventories makes oversight of telecom expenses difficult. The siloed nature of many large businesses doesn’t help. For instance, the IT department, while responsible for negotiating service contracts with its telecom providers, may have little to no communication with the accounts payable department. Many aren’t equipped for that level of technical scrutiny. Modernizing telecom management isn’t just about cost control; it’s a straightforward way to boost efficiency, eliminate waste, and support the sustainability goals every large organization is accountable for.

Why data-driven telecom management matters

More than 70 percent of the software used by Fortune 500 companies was developed 20 or more years ago. The cost of inaction in updating legacy systems will continue to increase, and companies that ignore emerging technologies like artificial intelligence (AI) and machine learning (ML) are effectively leaving money on the table. This leaves companies vulnerable to high operational costs and increased security risks, particularly in their telecom operations.

Leveraging existing data and AI and ML tools provides leaders with performance insights to make informed decisions that impact their bottom line and market position. A McKinsey & Company study finds that data-driven organizations are 23 times more likely to acquire customers, six times more likely to retain customers, and 19 times more likely to be profitable.

What finance and operations leaders stand to gain

Leaders must have a clear picture of what services are available, how they are being used, and their cost. Inefficiencies add up quickly and can drain budgets and productivity. Adopting centralized data banks, digitalizing invoices, and incorporating AI and ML can help move organizations from reactive cost control to a proactive optimization of their telecom management.

Companies with more than 100 locations and legacy telecom services are subject to missed renewals, billing discrepancies, service interruptions, and wasteful spending on outdated systems that should have been retired. For that, many organizations still depend on spreadsheets and manual processes to track this information, an approach prone to errors.

Simply cleaning up processes and gaining visibility can drive major cost reductions. For instance, when implementing a strategy that focuses on streamlining efficiency, productivity, and savings, a major healthcare system with a $35 million annual telecom expense uncovered more than $4 million in avoidable costs—an 11.8 percent reduction.

Turning telecom from cost center to value driver

The key to a successful telecom management program is accurate, consolidated data. By digitizing telecom invoices for each location and connecting them with contract details and service inventories, the data becomes organized and useful at scale. Strong data intelligence strengthens negotiating power with carriers, shifting leverage back to the organization.

Eliminating the hidden waste frees up capital that can be redirected toward innovation, digital transformation, or growth initiatives.

For enterprises, modernizing a telecom strategy isn’t a luxury; it’s a basic requirement to help gain visibility and control over costs, risks, and sustainability commitments. When leaders can evaluate where their organization’s money is being allocated, they will understand that paying for outdated and draining technology is not a wise investment.

To achieve optimal savings, each organization must harness its existing data, incorporate smarter tools, and tighten its processes so it is transformative, not marginal. That way, telecom stops acting like a black hole in the budget and starts functioning like a genuine lever for operational strength.

In the end, organizations that take this seriously can cut waste and build a foundation for long-term resilience, competitiveness, and growth.