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Telecommunications
Use Cases

Each part of a carrier has its own problems, data, and rules. Start with your department.

Telecommunications overview

22 use cases

Search use casesAll departments

Documents

1 use case

Legal research and aid assistantsAn AI assistant that finds the statutes and cases behind a legal question and answers with citations a lawyer can check, giving information, not advice.

Engagement

8 use cases

Call summary and resolutionGenerative AI reads every recorded customer call, writes a summary of what happened, and flags whether the issue was resolved so your team can follow up.Content and product personalization for marketingPredictive models score which message, image, offer and product each customer is most likely to respond to, so every channel shows content built for them.Customer care agent and chat deflectionA customer care agent answers billing, plan, device and outage questions in chat from your care knowledge, cites a source and hands off the rest to a person.Next best action and offerMachine learning that ranks the offer, message or channel most likely to move each customer forward, so marketing sends one relevant action per customer.Predicting the cause of a support call before it's askedAI predicts the likely cause of a customer's phone, broadband or TV issue from support history and network data, so agents resolve more calls the first time.Support-call classificationSupport-call classification uses fine-tuned small language models to assign every transcript to the right category, so contact centers can route follow-ups.Telecom churn prediction and retentionTelecom churn prediction scores every subscriber's risk of leaving, explains why, and triggers the retention action most likely to keep them.Telecom upsell and next best offerTelecom next best offer: AI that predicts which plan, device, add-on or loyalty offer each subscriber is most likely to accept, and when.

Field

3 use cases

Field dispatch optimizationAI forecasts how many technicians each area needs and matches the right technician to each job, so dispatchers start from a data-built plan, not a guess.Predictive fleet maintenanceVehicle, telematics and repair data predict which truck parts will fail, so a fleet shop replaces them before a breakdown strands a technician.Route and fuel optimizationRoute and fuel optimization decides which technician drives to which job, so your fleet covers the day's work with fewer miles and less fuel.

Finance

1 use case

Strategic insight summarizerAn AI assistant that reads annual reports, earnings releases and company websites and returns strategic priorities, key results and opportunities, all cited.

Fraud

3 use cases

Application and account opening fraudApplication and account opening fraud detection scores each application for stolen identities, synthetic identities and mule risk before the account opens.Scoring phone orders for fraud before the device shipsAI scores every phone order, upgrade and new line for fraud risk before the device ships, so you stop more fraud without turning good customers away.Verifying identity documents at onboardingAn AI assistant reads an identity document uploaded at onboarding, checks each field for gaps, expiry and tampering, and returns a verified or flagged result.

IT

3 use cases

IT knowledge assistant for runbooks and ticketsAn IT knowledge assistant answers your engineers' questions from your own runbooks, tickets and postmortems, and cites the source behind every answer.Sovereign AI coding assistantA sovereign AI coding assistant runs an open coding agent against models you control, so source code, prompts, and agent actions stay inside your network.Text-to-SQL for enterprise dataFine-tuning a small open model on your own schema so business users can ask a database a question in plain English and get accurate SQL back.

Marketing

6 use cases

Content and product personalization for marketingPredictive models score which message, image, offer and product each customer is most likely to respond to, so every channel shows content built for them.Lead scoringAI lead scoring ranks every lead by how likely it is to become an opportunity and revenue, learning from the leads that converted and the ones that did not.Next best action and offerMachine learning that ranks the offer, message or channel most likely to move each customer forward, so marketing sends one relevant action per customer.Smart segmentationAI smart segmentation groups customers into microsegments by shared behavior and intent, so marketers can target and explain who is most likely to respond.Telecom churn prediction and retentionTelecom churn prediction scores every subscriber's risk of leaving, explains why, and triggers the retention action most likely to keep them.Telecom upsell and next best offerTelecom next best offer: AI that predicts which plan, device, add-on or loyalty offer each subscriber is most likely to accept, and when.

Network

1 use case

Network incident triage agentsA chain of agents that correlates network telemetry and alarms, opens the ticket, drafts remediation from your runbooks, and writes the post-incident summary.

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