Are you planning to let AI do all your mobile device management? Hold the phone (figuratively).
For the sake of ROI, organisations worldwide are all in when it comes to AI adoption, but a Gartner report is showing signs that the AI bandwagon is slowing down.
According to the report, there may be a mass cancellation of AI agentic projects by 2027 — 40% of all agentic projects, to be exact. What does this mean for you? Read on to find out.
Experts have dubbed 2025 the “year of AI agents.” And while AI adoption has surged, there are still risks and challenges, especially with agents being deployed at scale.
“Agent washing” is now a widespread problem, where vendors are pushing old tools under a new name. As a result, organisations that jump in too quickly may find themselves locked into expensive fragile platforms that don’t deliver.
Even when systems are truly autonomous, integrating them across mobile fleets or telecom infrastructure introduces complexity. And the complexity may be too much for your team to handle.
Automation is one half of successful telecom expense management (TEM) or mobile device administration. The other half consists of human support.
With AI, there may be increased alerts and customer interactions, but you might see fewer clear resolutions.
So, instead of saving time, you could spend more effort retraining staff, rewriting workflows, or troubleshooting unexpected issues. When the system goes beyond its capability, you’re left filling in the gaps.
Agentic AI also struggles in environments where business logic shifts often, which happens regularly with:
So, what solution is left if AI isn’t living up to its hype? It’s none other than Atrium.
Atrium is our managed mobility service platform and integrates smart technology with proactive human oversight.
With it, you’ll still benefit from automation for:
But the human element powers the platform. Every decision is backed by experienced support staff. As a result, our platform can help your organisation reduce costs, eliminate overspend, and gain clarity across all devices.
With AI insights and practical expertise, your business will be able to optimise mobile device management without the risk of disruption.
There are two ways to take Gartner’s report. You can interpret it as a prediction on the fate of agentic AI. But more importantly, the more pressing message is the effect of blind adoption.
Hence, if your strategy hinges on unproven AI tools or agents, you may need to reassess your mobile management strategy.
Luckily, we offer a sustainable and future-proof alternative, and it’s one that balances technology with human judgement.
Are you interested in seeing how AI and human-powered MDM solutions could benefit your organisation? Reach out today.
FAQs:
What is agentic AI, and why is it important for telecom management?
Agentic AI refers to AI systems that perform tasks autonomously. In telecom management, it promises efficiency but also presents integration and scalability challenges.
Why are many AI projects expected to fail, according to Gartner?
Many AI projects fail due to "agent washing," where vendors push old technology under a new name, and the complexity of integrating AI into existing telecom infrastructure often overwhelms teams.
How does AI affect mobile device management (MDM) in the workplace?