Telco AI - the AI Coworker

The AI coworker that gets to the bottom of network problems - and acts on the fix.

It runs root cause analysis, finds trapped capacity, and automates drive-test analysis on your own data - forming and testing hypotheses, showing the evidence, and applying the fix with your approval. Days of manual work become minutes.

Book a 15-Min DemoSee how it works
  • Any data source
  • Cloud or on-premise
  • Every finding shown with its evidence
Trusted by industry leadersTech MahindraIntelTM Forum

What it does

Stop stitching data together by hand. Telco AI connects to your data, runs the analysis itself, and shows its reasoning - producing findings, charts, and an auditable research graph. It works on your own data, on-premise or in the cloud, with no integration project to start.

Three workflows, run autonomously.

Root cause

Autonomous root cause analysis.

Runs autonomous, multi-domain root cause analysis, including KPI-drop and anomaly cases. It forms and tests hypotheses across domains, presents the cause with the evidence behind it, and can apply the fix with your approval.

Spectral Efficiency & Capacity

Find trapped capacity - and why it's trapped.

Locates cells running at poor spectral efficiency and underutilized capacity, then finds the root cause - interference, imbalance, mis-tuning - so you recover capacity you already own.

Drive test

Automate drive-test analysis.

Point it at the logs; it correlates with OSS/PM, finds the issues, drafts the report, and answers your questions. Days become minutes.

The trust answer

See exactly how it thinks.

Every finding ships with an auditable research graph: every hypothesis it formed, every action it took, every piece of evidence it used - traced all the way to the root cause. That is what lets your engineers trust it, and what makes autonomous operation safe.

Evidence path Root cause
your dataagenthypothesesevidenceroot cause

Built for telecom

It reasons like a network engineer.

  • ✓Built-in telecom domain intelligence - reads KPIs, thresholds, and topology like an engineer.
  • ✓Autonomous, hypothesis-driven reasoning - not a single-prompt answer.
  • ✓Connects to any data source - files, any SQL database, folders, APIs and OSS - no pipeline project.
  • ✓It doesn't stop at analysis - it can act on the fix, at the autonomy level you set.
  • ✓Deploy in the cloud or on-premise - credentials stay in the backend, never seen by the model.
  • ✓Grounded by the Digital Twin for a standardized, telecom-correct method.

How it works

From your data to a resolved issue.

Telco AI doesn't stop at the diagnosis. It detects, decides, and applies the fix - with a human approving each step - then keeps the loop running. You set the autonomy level, from copilot to fully autonomous.

continuous, closed loopConnect dataAgent analyzesEvidence + findingyour approvalApply fixResolved

Better with Digital Twin

Sharper analysis, deeper reach.

When it needs more depth, the coworker calls the Digital Twin on demand. For a root cause analysis it can rebuild the degraded area in the twin and simulate the fix before applying it - connected over MCP, and it works on its own too.

Telco AI

Runs the investigation, calls the twin when it needs more depth

MCP
Digital Twin simulating
3D Digital Twin of the network area, rendered as a signal heatmap for simulation
Explore Digital Twin Technology

See what AvantMind can do for your network.

A 15-minute demo of the digital twin and the AI agents, walked through on a real telecom scenario.

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