How Amdocs is Scaling AI Strategy with Autonomous Networks

Amdocs outlined its autonomous network vision at MWC Barcelona 2025, revealing partnerships with key technology partners Nvidia and AWS, to name a few.
Speaking exclusively with Mobile Magazine at the event, Amdocs’ General Manager of Technology, Sarit Assaf, shared how the company is seeking to reposition itself in the generative AI (Gen AI) space for the telecommunications industry.
She explains here how Amdocs is implementing AI across multiple areas of its business.
“We see AI everywhere. Everything built in the past is outdated without AI,” she says. “Even in customer experience platforms, which should be simple and intuitive with superior customer experience - today, if there's no conversational AI inside, it looks like an application from 20 years ago.”
The future of autonomous networks
As Sarit explains, AI integration dominated discussions at MWC25, with use cases ranging across customer experience, networks, billing and monetisation.
Amdocs in particular announced the expansion of its amAIz Suite leveraging its extensive network design and deployment expertise and operations support system (OSS) platforms. These are accelerated by Nvidia NeMo microservices and Nvidia NIM and AWS’ cloud infrastructure.
The company shared at the time that the collaboration is designed to help service providers incorporate AI into their networks by simplifying and accelerating the deployment and operation of next-generation autonomous networks.
“The holy grail is talking about fully autonomous networks - no human in the middle. I'm sure it'll take many years for the telco industry to get there,” Sarit notes.
According to Amdocs, telecommunications companies are continuing to implement autonomous solutions in isolated silos rather than as comprehensive systems. This fragmented approach will eventually result in a catalogue of capabilities that requires integration.
“Everything built in the past is outdated without AI.”
Sarit suggests that companies with cloud-native applications will adapt more easily than those still operating legacy systems on-premises.
“It'll take a while and it'll require a rich ecosystem of vendors. I don't see a single vendor dealing with everything,” Sarit says.
How Amdocs is targeting network transformation
In North America, Amdocs recently opened a Gen AI focus lab designed to create AI agents for telecommunications networks. This initiative aims to address scalability challenges faced by telcos in the Gen AI space.
Sarit emphasises that the main issue for telecommunications companies is not just implementing AI, but scaling it effectively.
“The main challenge for telcos is how they can scale in the Gen AI space,” she explains. “The problem is, it takes time to onboard people to new technologies and to acquire the skills - even deciding which technology and platform will be the right one for you.”
Amdocs positions its latest telco offerings as removing the burden of platform building, startup processes and model training for telecommunications companies.
With four decades of telecommunications expertise, the company claims its knowledge of the domain gives it an advantage in helping telcos leverage their data through AI.
“We believe scaling AI requires adopting an openness mindset,” Sarit says. “It cannot be a closed box, it cannot be a single vendor. That's a fundamental key principle for us.”
Moving forward, Amdocs is applying AI across its own operations to increase development speed, particularly when it comes to quality assurance. As Sarit notes, adopting these processes internally reflects the company’s view that AI transformation exceeds the significance of the cloud - with partnerships remaining critical for growth.
She says: “We cannot rely only on organic growth. The only way to scale is by working with market leaders.”
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