Scaling AI from Telecom to Enterprise IT
Episode Overview
Zack Austin sits down with Bruno Santos, Executive Director at Celfocus, to explore how some of the world's largest telecommunications providers have approached AI, automation, and intelligent operations over the past decade. Drawing on years of experience delivering large-scale transformation projects, Bruno shares how organizations can move beyond experimentation and implement AI that delivers measurable operational value.
Key Takeaways
- AI should solve real business problems. Organizations often feel pressure to "adopt AI," but Bruno argues the better approach is to identify the three to five biggest operational challenges first, then determine where AI can deliver measurable improvements.
- Telecommunications has been preparing for AI longer than most industries. Celfocus has worked with Tier 1 telecom providers on AI and automation initiatives since 2016, helping operators manage increasingly complex networks through intelligent automation and large-scale orchestration.
- Agentic AI is powerful, but only when paired with practical governance. While agentic AI is unlocking new opportunities, Bruno explains that organizations must also understand both short-term choices and long-term ROI before deploying solutions at scale.
- Successful AI adoption is built on partnership and trust. Rather than delivering software and walking away, it’s more effective to work alongside customers to build business cases, co-create solutions, transfer knowledge, and help internal teams develop the skills needed to own and evolve their AI initiatives.
- People remain central to automation. Automation shouldn't be viewed as replacing employees. Instead, it enables IT and network teams to move away from repetitive operational work and focus on higher-value responsibilities while developing new AI skills.
FAQ
What's the biggest mistake organizations make when starting their AI journey?
Bruno says many organizations begin with the technology instead of the problem. Rather than adopting AI because it's trendy, leaders should first identify their highest-priority operational challenges, define measurable business outcomes, and then evaluate where AI can create the greatest impact.
Timestamp: 30:38–35:56
How is agentic AI changing enterprise operations?
Bruno believes agentic AI represents the next major evolution beyond generative AI, but organizations need to approach it thoughtfully. Success depends on balancing innovation with governance, managing operational costs, optimizing LLM usage, and designing architectures that deliver sustainable business value.
Timestamp: 15:24–19:54
Q: What role will people play as AI becomes more capable?
According to Bruno, AI should empower employees rather than replace them. The most successful organizations involve operational teams throughout implementation, helping them learn new skills, contribute to solution design, and ultimately take ownership of the systems they use every day.
Timestamp: 17:19–20:06
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