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Accelerator 08 · Telecom

Customer care agent with network context

Answers subscriber complaints using live network and account context, so the reply explains the real cause and the next step.

The problem

  • Care agents cannot see network incidents, so they run generic troubleshooting scripts.
  • Customers repeat the same complaint across app, call centre and social media.
  • Billing disputes take several contacts because plan rules are hard to explain.

What it does

  • Combines the complaint with network incidents near the customer and account data.
  • Gives a likely diagnosis and the right action (wait for fix, settings change, credit, field visit).
  • Drafts the reply in the customer's language and decides when a human must take over.

Pick a customer complaint with network and account context and get a diagnosis and reply.

Live demo: Customer care agent with network context

Synthetic data only · nothing you type is stored

1. Pick a sample

2. Review or edit the input

586 / 6,000

Please do not paste real personal, patient, customer or confidential data. Use the samples or your own synthetic text.

Output

Diagnosis, action, whether to hand off to a human, and a ready-to-send reply.

The demo first calls the Surge in-house AI server and falls back to a hosted open-source model if it is busy. The badge on the output shows which one answered. Limited to a few runs per visitor per day.

How it integrates

In your deployment the accelerator runs inside your environment, behind your single sign-on, and is connected to the systems below. You choose the hosting and the model.

Systems and APIs

  • CRM and ticketing
  • Network fault management / incident feed
  • Billing and plan catalogue
  • App, WhatsApp and IVR channels

Data we need for a pilot

  • Plan and tariff rules
  • Incident feed sample
  • Resolved tickets by category

Where it runs

  • On-prem in the operator's data centre (subscriber data stays inside)

Open-source models we start with

  • Qwen3-class 14B instruct model
  • IndicTrans2 for regional-language replies
  • Whisper-class speech model for call notes

Walkthrough

A short recorded walkthrough of the customer care agent with network context: the input, the output and how a reviewer uses it.

Next accelerator: Bill & meter anomaly explainer →

Walkthrough video coming soon

We are recording a short walkthrough of this accelerator. Meanwhile, run the live demo above or book a working session.

Run the telecom accelerator on your data

In a working session we map it to your process, systems and rules, and agree what a pilot must prove before it goes live.