FROM THE INDUSTRY
areas in total, each one building on the structured data and the organisational muscle we developed in the one before. The cumulative impact reached $2.4 million in productivity unlocked for more than 350 team members.
I’ve had the chance to sit in on and participate in several AI podcasts and even done a keynote or two. But it’s frustrating to watch these days, every vendor pitch, every LinkedIn post about AI transformation assumes you have a dedicated data science team, a large innovation budget, and the luxury of running experiments that don’t need to pay for themselves inside a quarter. If you’re a Tier 1 carrier, maybe that’s your world. But if you’re a mid-size or smaller operator, the kind that actually builds the last mile, dispatches the trucks, and picks up the phone when someone’s internet goes down - those conference keynotes can feel like watching someone demonstrate a commercial kitchen when all you needed or wanted is a sharper knife. I run AI and automation for a regional fibre operator. We are not a startup with venture money to burn, and we are not a national carrier with an army of engineers. What we are is a company that sat down, looked honestly at what we had, and asked a simple question: what if we just used what’s already in front of us? Harnessing your data Because here is the thing nobody at those conferences wants to admit: most of us are sitting on a goldmine and complaining they cannot afford a pickaxe. Your billing system, your ticketing platform, your dispatch logs, your network monitoring
tools - these systems have been quietly accumulating data for years. Customer patterns, service trends, technician performance, network behaviour. It is all there. The problem was never a lack of data. The problem is that the data lives in multiple internal and sometimes external silos, and nobody had a practical way to connect the dots without hiring a team of specialists they could not budget for. When we started our AI journey at Blue Stream Fiber, we did not begin with a grand transformation roadmap. We started with a headache. We had inefficient processes, and it was costing us real money. So, we pointed AI at that one problem. We structured the data we already had: service tickets, technician skill sets, geographic routing, job completion rates, customer equipment health, and added to a system that could, within 10 seconds, pinpoint the issue the customer was having before they were done explaining what their problem was on the call and give suggestions to the end user on what to do next. That single initiative accelerated us as a company, the ROI for certain pieces was eye opening. Not because the technology was magical, but because the data was already there, waiting to be organised and activated. From there, the work expanded into technician guidance, automated triage, sales lead enrichment - six operational
Automate for the right reasons
I talk a lot about automating tasks, not jobs, and I know that phrase can sound like a corporate speak - something you put on a slide to keep people from panicking. But for smaller operators, it is not a slogan. It is the only strategy that actually works. Big carriers can afford to restructure entire departments around new technology. They can absorb the disruption, the attrition, the eighteen months of reduced productivity while people figure out new roles. A mid- size operator cannot. Your people are your infrastructure as much as your fibre is. The technician who has been with you for twelve years knows things about your network that no system has ever captured. The Customer Service Representative (CSR) who handles your most difficult accounts carries institutional knowledge that would take years to rebuild. If your AI strategy is built on replacing those people, you are not transforming your business. You are hollowing it out.
The smarter play is to give those people power tools. We give the technician AI
Volume 48 No.1 MARCH 2026
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