TuplOS: Governed AI Operations to Drive the Future of Telcos

Telecommunications networks continue to grow in complexity, yet operations remain heavily manual: engineers still spend most of their time on alarm analysis, diagnostics and repetitive customer-impact tasks across a fragmented stack of disconnected tools.

The issue goes beyond tooling: as highlighted by GSMA’s Open Telco AI initiative at MWC 2026, AI does not yet “speak telco”. General-purpose AI is probabilistic, while telecom operations require deterministic, governed and explainable execution. The industry lacks a reliable bridge between AI capabilities and production-grade automation.

Tupl bridges that gap by combining explainable AI, multi-source correlation, and expert-driven automation across NOC, customer care and field engineering – turning expert knowledge into reusable, self-improving pipelines.

TuplOS: The governed AI Operations OS for Telco CSPs

TuplOS is built so your operational knowledge stays with you and grows – one workspace for your network and customer operations.

As a no-code platform, it integrates multi-source data (alarms, counters, probes, CRM inputs, configurations, field logs) into a unified operational model with an agentic AI framework, replacing the patchwork of disconnected tools that fragments engineer effort.

Rather than replacing experts, Tupl operationalises their reasoning into explainable workflows that continuously improve through interaction.

Designed to lower the AI entry barrier for domain experts, it combines rules, ML and Gen AI across full operational processes, not isolated tasks: a safe, scalable path toward closed-loop and zero-touch autonomous networks.

This mixed approach reflects a fundamental architectural choice: TuplOS acts as the governed boundary between probabilistic AI and deterministic execution.

End-to-End Automation Across the CTIO Chain

Tupl delivers measurable improvements across the full telecom operational spectrum:

• Network Operations: Automates NOC triage, diagnostics, fault management and configuration validation. This improves KPIs such as MTTR, MTTA, network availability and change success rates. 
• Energy Management: Dynamically optimises power-saving features at cell level, adapting to traffic conditions in real time. Operators can achieve up to 2× more energy savings compared to static configurations without degrading user experience. 
• Service Assurance: Unifies QoS, QoE and customer impact into a single automation layer. This enables proactive issue detection and resolution, shifting operations from reactive to predictive and improving metrics like NPS. 
• Customer Operations: Closes the loop between network intelligence and customer care by automating provisioning, complaint handling and issue resolution. This improves first-call resolution, reduces response times and increases service quality. 

The bridge between network and customer operations is set through Tupl’s Customer Experience Index (CEI), which correlates network performance, operational data and customer perception at subscriber and geographic levels.

This allows operators to prioritise actions based on real customer impact and embed insights directly into workflows.

Agentic AI: Scaling Expertise into Automation

The telecom industry faces a fundamental tension: AI excels at reasoning, but cannot safely execute actions in live networks.

Tupl resolves this by ensuring that agentic AI creates and accelerates automation, but never directly executes it.

Tupl’s agentic framework captures expert reasoning and transforms it into operational workflows. Domain experts can define automation conversationally, reducing development cycles and ensuring governance.

Key capabilities include:

• Faster decision-making (hours to minutes) 
• Reusable expert knowledge 
• Consistent, compliant execution aligned with SLAs 

The framework is built on:

• Specialised agents interacting with TuplOS components 
• Agent Builder for rapid creation and orchestration 
• Multi-agent collaboration for complex workflows 
• Knowledge Hive, a continuous learning system 

Supporting modules such as hallucination detection, prompt management, tool orchestration and retrieval-augmented generation ensure accuracy, context awareness and safe execution.

Proven Impact at Scale

TuplOS is already delivering results across Tier-1 operators:

• A North American operator automated over 80% of escalated complaints across 70 million subscribers, reducing resolution time by 100× and troubleshooting effort by 90%. 
• A U.S. operator using Network Advisor reduced analysis time by 67%, auto-closed 60% of issues and improved resolution times by 30%. 
• A major operator achieved up to 30% additional energy savings through automated optimisation while maintaining service quality. 

Tupl combines hyperautomation, multi-source correlation and agentic AI to enable telecom operators to reduce OPEX, improve customer experience and increase operational consistency.

TuplOS is the proven AI automation system for telcos: one workspace across network and customer operations. 

Governed so your expert knowledge stays with you and grows.

Read the full article here: Tupl: Proven AI Automation for Future Telecom Operations.