AI CEO Agent: The Future of Business Execution

Move beyond automation—achieve AI-native execution at machine speed.​

Sign Up for Early Access

AI CEO Agents for Telecommunications

The Future of 5G Network Assurance is AI-Driven

Traditional packet-based monitoring solutions are no longer enough for the complexity of modern, cloud-native 5G networks. AI-driven observability, powered by eBPF and AI CEO Agents, enables real-time automation, self-healing networks, and predictive security enforcement—without the limitations of legacy tools.

Why AI CEO Agents + eBPF?

Real-time AI-driven network intelligence—beyond packet capture limitations
Fully automated QoE enforcement, traffic steering, and anomaly detection
Self-healing capabilities that proactively resolve network failures
Adaptive security enforcement to mitigate threats in real time

Who is Leading This Transformation?

CSPs that embrace AI-native network assurance are leaving competitors behind. Those who insist on traditional packet-based methods will struggle to keep up. AI CEO Agents provide a fully cloud-native, AI-first approach that eliminates manual inefficiencies.

For Telecom Operators

Optimize network slicing dynamically to meet SLA requirements
Reduce service disruptions by enabling predictive self-healing networks
Eliminate manual troubleshooting with AI-powered observability

For Cloud-Native 5G Providers

Enhance observability across Kubernetes-based 5G Core
Automate compliance enforcement through AI-driven security intelligence
Optimize ultra-low latency applications with AI traffic steering

For Enterprise Private 5G Networks

Ensure ultra-reliable low-latency communication (URLLC) for industrial IoT
Secure 5G infrastructure against evolving cyber threats
Optimize business-critical applications with AI-driven performance tuning

Why This is Not for Everyone

AI-native assurance is for those ready to lead. If you are comfortable relying on packet-based monitoring, this may not be for you. But if you’re ready to outpace competitors with AI-driven automation, then the future of 5G network intelligence is yours to own.

3. Use Cases: AI CEO Agents & eBPF in Action

1. AI-Powered 5G Signaling Protocol Assurance

Problem:
Frequent call drops, handover failures, and registration delays.

Solution:
AI CEO Agents monitor NAS, RRC, SCTP, and GTP-U signaling in real-time and automatically optimize handover and attach procedures.

Example Automation:
AI CEO detects frequent handover failures and reconfigures neighbor cell lists dynamically to optimize mobility.

2. Self-Healing 5G Network Operations

Problem:
Network failures require manual intervention, increasing downtime.

Solution:
eBPF telemetry continuously monitors UPF congestion, gNB health, and packet loss while AI CEO Agents predict failures and trigger self-healing workflows.

Example Automation:
AI CEO Agent detects packet drops at the UPF due to congestion and autonomously reroutes traffic to another UPF instance to prevent service degradation.

3. Real-Time QoE Optimization for Low-Latency Applications

Problem:
Gaming, AR/VR, and Vo5G applications suffer from unpredictable latency.

Solution:
AI CEO Agents correlate eBPF-powered QoS metrics (latency, jitter, packet loss) with application performance and dynamically adjust network slicing policies.

Example Automation:
AI CEO detects latency spikes in a telemedicine session and allocates higher priority resources to ensure consistent video quality.

4. AI-Driven 5G Security & Compliance Enforcement

Problem:
Signaling fraud, rogue base stations, and DDoS attacks are difficult to detect in real time.

Solution:
eBPF provides deep packet inspection (DPI) on 5G signaling (GTP, SIP, Diameter), allowing AI CEO Agents to detect threats and automatically execute remediation actions.

Example Automation:
AI CEO Agent identifies a GTP flood attack on a UPF, blocks malicious IPs, updates firewall rules, and rate-limits attack vectors autonomously.

4. Technology & Architecture

How eBPF Enhances 5G Network Visibility

eBPF captures network data in real time at the kernel level without modifying existing infrastructure.
Provides deep observability into 5G user-plane (GTP-U) and control-plane (NAS, RRC, SCTP) signaling events.





AI CEO Agent Decision-Making Process

Step 1: Ingests real-time telemetry from eBPF-based network monitoring.
Step 2: AI models predict failures, detect anomalies, and identify optimization opportunities.
Step 3: AI CEO Agents execute automated actions such as dynamic traffic steering, resource allocation, and policy enforcement.





Join the AI-native revolution—achieve faster execution, smarter decisions, and scalable workflows.

Get Started with AI CEO Agent​