MWC26 in Barcelona makes it clear: Agentic AI is at the center of the next major evolution in telecom. As we have explored in previous posts, AI agents represent a leap forward from simple chatbots. They don’t just answer questions – they understand complex goals, define strategic plans, and execute actions autonomously under human supervision.

Google Cloud’s latest “AI Agent Strategy Report” highlights the trends currently reshaping the sector. Above all, this transition is about empowering employees to reach their peak productivity. As such, professionals – from field technicians to network engineers – evolve from executors into Agent Orchestrators responsible for:

  • Delegating tasks: identifying which repetitive processes are best suited for agents.
  • Setting goals: defining the desired outcomes with clarity to guide AI’s actions.
  • Applying judgement: directing agents in nuanced and complex decisions.
  • Verying quality: acting as the control point to ensure performance.

According to the report, 56% of telecom executives in organizations using AI already have Agents in production. These agents are being deployed across a wide range of mission-critical use cases. For example, a Network Operations Specialist can now orchestrate an ecosystem of agents to manage an “autonomous network”:

  • Capacity Forecasting: agents that analyze real-time telemetry to predict demand or defects before they occur.
  • Anomaly Detection: systems that identify network behavioral anomalies and correlate them with a specific root cause.
  • Root Cause Analysis: sub-agents that retrieve insights from multiple data sources to find the most probable cause of an issue.
  • Automated Remediation: agents that take closed-loop remedial actions or automatically create tickets.
  • Network Configuration: tasks that automate equipment configuration or network performance remediation.

The report goes on and explores how agents are transforming other business dimensions:

  • Workflows: executing complex end-to-end processes through interconnected agentic systems.
  • Customers: creating “custom” experiences that anticipate and resolve needs proactively.
  • Security: transitioning alert reception and automating defensive action.
  • Scale: developing human talent as the ultimate driver of value.

Navigating the transition to Agentic AI requires a mix of deep technical and strategic vision. As a Google partner and expert in Integration, Perceptiva offers the practical expertise to guide your organization through this evolution. We help you implement agentic frameworks that drive operational efficiency and measurable business growth.