The ROI Case for AI-Driven Network Operations What agentic AI returns when it's engineered for a live fiber network
Discover the real financial returns of using AI to automate network operations and scale without adding back-office headcount.
Your systems got you here, but they may not get you there. Fixing that does not have to mean a rip-and-replace project you cannot afford to have go wrong.
The parts of your stack that worked at a thousand subscribers start costing you real money at ten thousand. The fix isn't a bigger version of what you have. It's closing the gaps between the pieces.
Discover the real financial returns of using AI to automate network operations and scale without adding back-office headcount.
Read the ebook →Discover the primary cost drivers in fiber installations and how to optimize time on-site to increase technician throughput.
Read the blog →Understand the true cost of unnecessary truck rolls and how automated diagnostics and smart scheduling protect your margins as you scale.
Read the blog →No. AEX is modular and API-open by design. You adopt the parts that are hurting, keep the tools your team already likes, and connect the rest through open APIs and an integration layer, rather than taking on a rip-and-replace project you can't afford to have go wrong.
It's usually not the network itself, it's the seams between systems. The parts of your stack that worked at a thousand subscribers start costing real money at ten thousand: installs slip because scheduling is manual, revenue slips because provisioning and billing are separate steps somebody has to remember, and support takes too long because the answer is spread across four systems.
Most operators start where the pain is loudest, usually the gap between field execution and billing, then extend from there. AEX is built so you can close that gap without a two-year replatform, and expand into scheduling and support as the next priorities.
Closing the install-to-invoice gap gets customers 60%+ faster time to invoice, since a closed job triggers zero-touch provisioning and same-day billing across ten OEM ecosystems. Fixing technician throughput with smart scheduling and self-scheduling gets 3 to 5 installs per technician per day, a 2 to 3x improvement. One operator scaled from doing one to two installs a day to 20 without a single back-office headcount hire.
AEX Field Service can deploy in as little as 30 days. Software adoption is modular, so you get value from the first module you turn on rather than waiting for a big-bang cutover.
No. You adopt AEX one gap at a time, starting wherever the pain is loudest, and extend into more modules only when you're ready.