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How Portfolio-Scale Digitization Enables Smarter Telecom Operations

12 Aug 2026 Written by Naomi Stol Zamir

Create a Single Source of Truth for Faster, More Efficient Network Operations

Growth is a priority. Operational costs need to be reduced. Capacity and coverage demands are growing. The technology needed to support 5.5G, edge computing, and AI is becoming ever more complex. Networks need to be expanded more quickly in multi-vendor and multi-technology environments. It’s time to drive smart operations.

The biggest challenge? Lack of information. Continuing to work with ineffectual systems that just don’t work anymore creates an inefficiency tax, causing losses in CAPEX and OPEX. Unverified field data, from azimuths to security infrastructure, from equipment to rack space, prevents efficient rollout workflows, drives overprovisioning, increases personnel and equipment costs, wastes truck rolls, and traps capital.

You can’t base critical business decisions on the invisible. Many MNOs have millions of dollars buried in “ghost assets” because of unverified field data.

  • More than 75% of antennas have orientation discrepancies.
  • 27% of antennas are installed outside planned azimuth tolerance.
  • 46% have height deltas greater than 50 cm.
  • 17% of antennas undermine RF propagation because of tilt deviations.

These seemingly “minor” errors cause major financial losses.

Many leading MNOs have embraced autonomous workflows to transform 12-week build cycles into three-week sprints, making it possible to

  • Reduce project budget waste by 50% per site
  • Recover 10% in equipment overcharges
  • Ensure billing integrity
  • Improve efficiency by more than 6x with a clear 90-day roadmap

The shorter the build time, the less money is wasted, and the more CAPEX and OPEX remain available to invest elsewhere.

 

That’s the Way We’ve Always Done It

Doing things the way you’ve always done them isn’t sustainable. Manual site inspections generate fragmented asset data across every tower site, adding error upon error. The data itself is reported in chunks to various teams, so not everyone can access everything. Decision making is stifled.

Automation and autonomous workflows are key. They need to become the heart of network planning, allowing for portfolio-scale digitization. Digital Twins and 3D models provide a trusted digital record of the tower, installed equipment and surrounding site infrastructure. Through subsequent capture, that record can be refreshed as the site changes.

With a virtual representation of physical network assets shared across the organization, key stakeholders gain the clarity they need to improve planning, operations, and maintenance.

Digital twins strengthen team collaboration, deliver in-depth asset intelligence, and accelerate network planning and deployment while reducing operational risk. When paired with AI and analytics, they enable proactive, autonomous operations across the entire network, making it simpler to plan upgrades and repairs.

Furthermore, by verifying what is physically installed at each site, MNOs can identify billing discrepancies, reduce disputes and negotiate with TowerCos using trusted infrastructure data.

 

Plan, Don’t React

The “old” way of doing things – reacting instead of planning – means more truck rolls, maintenance based on emergencies rather than long-term operations, delayed deployment, and unhappy customers due to service disruptions. Reactive workflows contribute to additional truck rolls, delayed deployments and longer service disruptions. They can also slow the rollout of technologies such as fixed wireless access.

By implementing proactive operations supported by AI, MNOs can accelerate network upgrades with clearer visibility into existing equipment, available infrastructure and site readiness. More accurate information leads to better decision making, lowering OPEX, speeding deployment, improving the customer experience, and allocating resources more effectively.

 

Bring on the Drones

Eliminate manual climbs, and you’ll automatically improve field safety and mitigate risk. Instead, implement autonomous, software-driven, off-the-shelf drones, which ensure consistent data collection. They deliver unlimited scalability, allowing teams to quickly inspect tower after tower. They automate site digitization with repeatable, standardized workflows, significantly improving data quality and insights for all key stakeholders.

Accelerated capture, analytics, and modeling reveal a unified picture, improving efficiency with AI-powered asset intelligence, allowing for data-driven decision making.

Adopting the Efficiency Imperative is the new way to operate. It’s significantly less expensive than doing nothing.

 

To learn more, download our latest eBook: The MNO 2026 Efficiency Imperative: A Blueprint for Smart Operations

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Frequently Asked Questions

MNOs need to replace manual inspection with software-based autonomous workflows leveraging off-the-shelf drones; adopt portfolio-scale digitization that provides a single source of truth; and proactively use AI and analytics to plan operations, maintenance, and upgrades. With that, they will be able to more easily and affordably scale infrastructure without increasing operational complexity.

The biggest barriers to network modernization are unknowns, such as “ghost assets,” having no knowledge of what is on the tower and whether it’s set up correctly. The unknowns create “inefficiency tax,” wasting CAPEX and OPEX on trapped capital, overprovisioning, and unnecessary truck rolls. Imperfect data leads to reactive, not proactive operations.

AI analyzes standardized site imagery to detect and classify visible infrastructure assets and extract information such as equipment type, position and orientation. Combined with engineering plans and portfolio analytics, this helps teams identify discrepancies, validate installations and prioritize further action. Automated modeling transforms the captured imagery into Digital Twins and 3D models, while AI-powered analytics extract actionable infrastructure information, which allows for better decision making for proactive maintenance, operations, and short- and long-term network planning.

The key is adopting the efficiency imperative with portfolio-scale digitization, leveraging a single source of truth across the entire organization, which leads to better planning and faster build cycles. By understanding exactly what’s on every tower, it’s much easier to determine what equipment is up to the task and what needs to be upgraded or replaced.

Current, verified infrastructure data supports faster decision-making, improves collaboration and reduces the risk of planning from outdated records. When sites change, subsequent capture can refresh the Digital Twin and provide a trusted baseline for the next project.

The key tools are a combination of hardware and software: autonomous, software-driven off-the-shelf drones for consistent inspections across the portfolio. Then, AI transforms the captured data to create digital twins and 3D models, and the combination of AI and analytics engines deliver actionable insights.

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