Meet the RCA Coworker: an autonomous agent that gets to the actual root cause of network issues, enhanced by our Digital Twin.
When a KPI drops or capacity goes missing, the root cause is buried across many data sources, and the engineers who can piece it together are scarce and stretched. The RCA Coworker runs that investigation for you, end to end, and reaches into our Digital Twin whenever it needs more depth.
What the RCA Coworker does
Runs root cause analysis end to end. It investigates on its own, forming and testing hypotheses across domains, until it reaches the actual cause - not a symptom.
Reaches into the Digital Twin when it needs more depth. When the data on hand is not enough, it calls on our geospatial Digital Twin over MCP - rebuilding and studying the problem area, and simulating changes to confirm what is really going on.
Builds a decision graph you can cross-check. Every hypothesis, action, and piece of evidence is laid out in an auditable research graph, so you see exactly how it reached its conclusion.
Closes the loop. It does not stop at the diagnosis - it can apply the recommended fix, with your approval and a human in control. You set the level of autonomy, from a copilot that suggests to an agent that acts.
Two ways to put it to work
Use the RCA Coworker as an extra pair of expert hands alongside your engineers, or as an agent that runs the whole investigation on its own. You set how much it does, and you stay in control of what gets applied to the live network.
No black box
You can see exactly how the RCA Coworker reached every conclusion, and check it before anything is applied to the network. Its reasoning is grounded in a TM Forum-recognized Digital Twin trained on real network data, so every finding is transparent and verifiable.
See it in action
Want to see how the RCA Coworker would get to the bottom of an issue in a network like yours? Explore Telco AI or book a demo.
