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What if AI in telecom had to earn its keep from day one? We sit down with Petri, CEO of Tupl, to unpack a no-nonsense approach to automation where every workflow ties back to a clear business case. From shrinking customer care handle times to orchestrating energy savings that don’t dent performance, this conversation shows how practical AI reshapes the daily work of carriers—and why adoption by 30,000+ frontline users is the metric that matters.
We start with the fundamentals: technical customer care that gives agents and retail staff instant, accurate context about service status so they can set expectations and resolve issues faster. Then we dig into network operations and engineering automation, tackling repetitive, high-complexity tasks once considered “too hard to script,” and turning them into consistent, auditable workflows. The energy story raises the stakes—intelligent policies that switch off radios or dial down MIMO in low-traffic windows can drive real sustainability wins, but only with precise models that protect user experience and revert on risk.
The conversation looks ahead to the next leap: agentic AI and the road to autonomous networks. Petri shares why a hybrid stack—predictive AI for grounding and guardrails, agents for exploration and knowledge discovery—creates a virtuous cycle that expands automation safely. We also get candid about the unglamorous realities: eliminating hallucinations by grounding models in verified telemetry, and keeping token and compute costs in check so autonomy scales without breaking budgets. With named customers like T‑Mobile US and Deutsche Telekom, this is a field guide to AI that’s already working in production.
If you’re curious about AI that cuts outages, lowers energy bills, and gives teams superpowers without the hype, hit play. Subscribe, share with a colleague who lives in care or ops, and leave a review with the one KPI you’d automate first.
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