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Engineering the Future: AI, Automation and the Tech Powering Telecom’s Next Chapter with Sean Shahini of Inorsa

Carrie Charles
By Carrie Charles
Podcast

In this episode of Let’s Get Digital, host Carrie Charles sits down with Sean Shahini, the visionary Founder and CEO of Inorsa, to discuss the future of telecom engineering through the lens of automation, AI, and intelligent infrastructure.

Sean shares how he left a successful engineering career to launch Inorsa, a platform built to tackle one of the telecom industry’s biggest challenges: bottlenecks in site design, permitting, and infrastructure deployment. By automating repetitive, manual processes that traditionally took weeks, Inorsa helps tower companies reduce turnaround times to hours — all while improving accuracy, compliance, and scalability.

Carrie and Sean explore how Inorsa’s AI-powered tools analyze contracts, generate CAD drawings, and streamline project workflows using cloud-native, telecom-specific data models. Sean opens up about the risks of offshoring critical infrastructure work, the urgent need to reskill telecom teams, and how AI isn’t about replacing engineers — it’s about freeing them to solve real problems.

From startup grit to game-changing growth, this episode highlights how Inorsa is reshaping the way telecom infrastructure gets built — and why companies that don’t embrace automation may be left behind.

Tune in to learn how one founder’s obsession with efficiency is powering the next chapter of telecom.

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About Sean Shahini

sean shahini on Lets get digital podcast with carrie charles

Sean Shahini is the founder and CEO of Inorsa, a telecom automation company revolutionizing network deployment. With a background in biomedical and electrical engineering, Sean brings a systems-level approach to solving telecom’s most complex challenges through automation, AI, and cloud-based engineering workflows.

Learn more about Inorsa at https://inorsa.com/

  • Inorsa supports 90% of major tower companies in the U.S.
  • Their automation platform drastically reduces site design and permit turnaround
  • Passionate about removing engineering bottlenecks and scaling smarter infrastructure

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ABOUT AUTHOR

Carrie Charles
Carrie Charleshttps://broadstaffglobal.com
Carrie Charles is the Chief Executive Officer and Co-Founder of Broadstaff, the leader in specialized workforce solutions for telecommunications and technology. Carrie is a thought leader on workforce trends, women in tech and workplace diversity, and is the host of the Let's Get Digital podcast on RCR Wireless News for a global audience of 150K+. Carrie Charles currently serves as the Executive Director of Industry Relations of the WIA-affiliated Women’s Wireless Leadership Forum (WWLF), with 2023 marking her fifth year on the board. Carrie serves on the Board of Directors of CableRunner International and the NEDAS Technology Association, and as the mother of a childhood cancer survivor, Carrie has aligned her personal mission with her role on the Board of Directors of the National Pediatric Cancer Foundation. Carrie additionally serves on the board of the CEO Council of Tampa Bay as the 2023 - 2024 Programs Chair. Using her diverse background as a lifelong entrepreneur, Certified Financial Planner, Certified Master Life Coach and a US Marine Corps veteran, Carrie is passionate about creating a culture of wellness and excellence. For over 30 years, she has helped thousands grow personally and professionally, and has helped companies like General Dynamics, Hewlett Packard and Eli Lilly attract, engage and retain their employees. Carrie has been a featured expert on Axios, Entrepreneur, Inc., NBC, HSN, Clear Channel networks, Thrive Global and various tech publications. Under Carrie's leadership, Broadstaff's growth has received numerous accolades, including Inc. Magazine's Inc. 5000 (2023, 2022, 2021, and 2020), the Tampa Bay Fast 50 (2023, 2022, 2020 and 2019), SIA's List of Fastest-Growing US Staffing Firms (2023, 2022), WPO’s 50 Fastest-Growing Women-Owned/Led Companies (2023). In 2022, Broadstaff earned a spot on Inc. Magazine’s inaugural Power Partners list. Carrie is a member of EY’s Entrepreneurial Winning Women™ North America Class of 2022, and a finalist for EY's Entrepreneur Of The Year® 2022 Florida Award. In 2021, Carrie was chosen as Tampa Bay Business and Wealth Magazine's CEO of the Year, and in 2019 was an honoree of Tampa Bay Business Journal's Businesswoman of the Year.

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Google Cloud Next shows how network operators and vendors are using AI for telecom

We already know that businesses are pushing hard to figure out how artificial intelligence can benefit them. In telecom specifically, an Nvidia survey earlier this year found that 37% of respondents said their companies were investing in AI for telecom to improve network planning and operations, and 33% said that there had already been investments in AI for telecom field operations.

At this week’s Google Cloud Next event, some of Google Cloud’s specific work on advancing the use of AI for telecom is being highlighted, as well as AI for enterprises in other verticals. Here are three perspectives on how companies are leveraging Google Cloud AI for telecom.

–Verizon has integrated Google Cloud’s generative AI into customer operations, which the two companies said has led to “95% comprehensive answerability for customer inquiries” and “demonstrably more efficient and effective customer care interactions.” Verizon is making use of a Google Cloud conversational AI agent that leverages Google Cloud’s Vertex AI, Gemini models and Agent Assist Panel in order to give its customer service reps “real-time, context-aware, and personalized answers” to customer questions, as opposed to the reps having to do manual searches of knowledge bases.

Verizon has deployed this across 28,000 customer care reps and retail stores. Additional features like automated summaries of conversations, and automated follow-up action reminders, are also in the process of being rolled out. Those internal AI agents are in addition to several genAI tools that are directly customer-facing and use Google’s Gemini models for virtual assistants which use natural language.

Background image: Verizon

“Our collaboration with Google Cloud and the integration of Gemini into our customer care platforms mark a significant advancement in our commitment to providing exceptional customer experiences,” said Sampath Sowmyanarayan, CEO of Verizon Consumer. “The tangible results demonstrate the power of AI to enhance efficiency and empower our customer care teams.”

“The impact of Gemini on Verizon’s customer service operations is a testament to our deep partnership and Verizon’s commitment to continued innovation,” said Thomas Kurian, CEO of Google Cloud. “These results demonstrate the potential of AI to not just improve operations, but to create more meaningful and helpful interactions for customers everywhere, ultimately driving significant value for businesses.”

-“We’re really trying hard to build an autonomous network which is going to be obviously driven by AI more and more over time,” said David Sauvageau, director of software development, data and AI for Bell Canada, in a briefing call prior to Google Cloud Next.

In general, he continued, the network operator see AI as a “fundamental building block for the future of telecom, for innovation, for customer operations and for network operations.”

He said in the short-term, Bell Canada is prioritizing AI applications for telecom which “really focus on optimizing our customer experience and network ops.” For the latter in particular, Sauvageau said, “Our goal is really to leverage all the data that we have available in AI in order to predict and prevent issues before they actually impact our customers. So, really moving from reactive to preventive customer experience.”

Additionally, Sauvageau said, that Bell Canada believes AI is crucial for managing the increased complexity of telecom networks. “We need to be much more efficient, [and have] have faster innovations in areas like edge computing, digital twin, 6G or any other future network technologies. And ultimately … our goal is to build and accelerate the development of our AI-powered autonomous networks.”

-Razvan Teslaru, VP and head of strategy and portfolio for cloud software and services at Ericsson, said that the use of AI for telecom encompasses both increased efficiency and increased monetization—the latter being magic words for the telecom industry right now.

Autonomy is both about enabling differentiated connectivity at scale, he said, and monetization of that differentiated connectivity. At this year’s Mobile World Congress Barcelona, one of the things Ericsson spotlights was how it integrates its service orchestration with Google Cloud and its Vertex AI, Teslaru noted.

It’s now possible, he said, for a user to express their intent in natural language: A request to configure a specific type of connectivity to, say, a hospital, over a dedicated slice. “You can have Gemini interpret that intent and break it into service orders. … Then AI agents can take over these service orders and take them into execution, and also observe the results, so we can take corrective action autonomously,” he said.

So ultimately, then, network autonomy is about delivering personalized (or differentiated) connectivity with efficiency, while also doing so at a scale that means more effective and large-scale monetization.

Google Cloud emphasizes AI agents for telecom

Erwan Menard, director (outbound) of product management for cloud AI at Google Cloud, said that “When we look ahead, we envision networks that can largely manage themselves through the use of intelligent software agents.” He continued: “Think of these agents as digital experts that can automatically handle tasks like network configuration, problem solving and resource allocation.This would free up telcos from any routine operational burden, allowing human experts to focus on innovation and new services, ultimately leading to greater efficiency and productivity in network operations.”

In particular, he emphasized, telecoms face the unique challenge of having a “mission-critical duty to maintain knowledge over technologies which could be in service for decades. So the notion of being able to tap accurately through the knowledge of the company to help onboard a new resource or to assist somebody who has a decision to make—technical or business—is quite an important challenge in the telecom industry.” Google Cloud’s Google Agentspace was designed for such knowledge-heavy industries, Menard continued, to retrieve information across multiple systems with the idea of using “agentic workflows to be able to invest a new way of work.”

This week, the company is spotlighting its a new Agent Gallery, so that employees across the telecom organization can get personalized suggestions on which AI agents would be useful to them—either out-of-the-box from Google Cloud, agents built by the company or third-party AI agents. Google Cloud is also offering the ability to design and build agents with a no-code interface, in which people can essentially walk through a series of steps and “convert that sequence into an agent that then becomes your personalized assistant,” Menard explained.

 

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