AI Agents

For the next era of network operations

Telco-native intelligence that works with your data to analyze, decide and act. Faster.

Why AI Agents

01

Most telco tools weren’t built for autonomy.

02

They’re dashboards, not designed to simplify decision-making.

03

Engineers still spend hours comparing KPIs, interpreting charts, and jumping between use-case specific tools, built to assist, not to act.

04

Kenmei’s AI Agents are built differently.

05

They turn raw network data into targeted actions, reducing friction, latency, and repetitive work

06

Because in complex networks, the real bottleneck is the time it takes to decide.

From Tools to Agents

Legacy Tools
Built for use-case silos
Manual interpretation ofdashboards
Engineers decide what to do
Predefined logic
Slow response to anomalies
Static reports
Built for network-wide goals
Autonomous analysis and action
Agents decide and act
Adaptive, AI-driven logic
Real-time diagnosis and mitigation
Live, segmented, contextual output
What Are Kenmei’s AI Agents

Each agent is goal-oriented: one might analyse performance deviations, another may troubleshoot root causes, while others optimize planning, capacity, or user experience. Together, they form a coordinated system that turns fragmented network data into timely, contextual actions.

Instead of showing you charts, they deliver answers.

Instead of waiting for decisions, they move first — within boundaries you control.

They don’t replace your team. They multiply its impact.

Solution

Kenmei’s AI Agents are software entities designed to perform specific network operations — autonomously, efficiently, and with minimal human intervention.

How It Works

To understand how our AI Agents operate, think of a streamlined, layered architecture. Data is unified first, intelligence is applied second, and action is taken third. Each layer is optimized for its role — and together, they transform telco operations.

Where the data comes together

Telco Fabric

It unifies network data from all vendors and sources

Where intelligence happens

AI / ML Layer

It applies advanced telco-specific algorithms to find issues and patterns

Where action starts

AI Agents

They turn insights into action across the network lifecycle

Meet the AI Agents

Each AI Agent is designed with a specific goal: from detecting quality degradations to planning expansions or troubleshooting issues in real time.

Together, they cover the full network lifecycle and work in coordination through the Orchestrator Agent to deliver scalable, cost-effective automation.

01

Reusable Across Use Cases

Agents work on top of a unified data layer, so insights can be applied again and again without duplication.

02

Minimal Human Intervention

Automated decisions reduce the need for engineers to spend time reviewing dashboards or reacting manually.

03

Real-Time Diagnosis

AI Agents detect, analyse, and recommend actions within seconds of an issue emerging.

04

Built for Telco

Every algorithm is developed in-house for RAN, Core, and Transport scenarios — no generic AI.

05

Runs Where You Need It

Deploy in your cloud or on-premise. Your data never leaves your perimeter.

06

Scalable by Design

Agents interact with each other, enabling orchestration and automation at network-wide level.

You’ve got the data. Now act on it.

Discover where automation can save you time and resources.