Industry

AI use cases in telecommunications

Mobile, fixed and cable operators: customer care, sales, network operations, field service and fraud.

Use cases
28
Deployments
90
Organizations
60
Outcome disclosed
66%

28 Telecommunications use cases

60 organizations in 30 countries run these use cases in public. 66% of those 90 deployments disclose a measurable outcome.

Telecommunications

Agentic AI for autonomous, intent based network operations

Autonomous network operations use AI agents that run closed loops over a telecom network, taking an intent from the operator and acting to meet it. For example, given a latency or availability target, the agents observe the network, diagnose deviations and execute corrective actions across radio, transport and core, within guardrails set by engineers and with human approval for major changes.

Deployments
10 public, best grade B
Reported cycle time reduction
at least 95%
Deutsche Telekom, organization claim
Cross industryBanking

AI agent for complaints recognition, investigation and response

An AI agent that recognizes, investigates and drafts a response to a customer complaint for a human handler to approve. It logs the complaint against the regulatory definition, classifies its root cause and severity, gathers the evidence, drafts the acknowledgement and the response, and tracks every statutory deadline until the case is closed.

Deployments
5 public, best grade B
Reported accuracy
about 95%
Crédit Agricole Bank Polska, vendor claim
Telecommunications

AI agent for device and connectivity troubleshooting on voice and chat

An AI troubleshooting agent diagnoses and fixes a customer's broadband, mobile, TV or device problem by conversation on the phone or in chat. It runs line tests and remote resets through the operator's systems, guides the customer step by step, and books an engineer or hands over to a technician when the fault needs a person.

Deployments
4 public, best grade B
Median containment rate
70%
3 deployments
Cross industryBanking

AI agent for early collections and hardship support

A voice and messaging agent that contacts customers in early arrears to collect payments. It answers their inbound calls too, takes payments and sets up payment arrangements within preapproved rules, and recognises signs of hardship or vulnerability so those customers go straight to a trained person.

Deployments
4 public, best grade C
Reported cost reduction
75%
SameDay Auto Finance, vendor claim
Cross industryBanking

AI agent for first line contact centre service

An AI first line contact centre agent answers inbound customer contact on phone, chat and messaging, resolving general and routine questions end to end in the customer's own language. It routes everything complex, sensitive or regulated to the right human team, with the context attached.

Deployments
39 public, best grade A
Median containment rate
50%
11 deployments, 1 "up to" value left out
Telecommunications

AI agent for network outage detection and customer communication

AI network outage communication is an agent that turns network alarms into a clear picture of which customers are affected by an outage and why. It proactively tells those customers by message, app or phone, giving a cause and an estimated fix time, answers their questions during the incident, and updates them until service is restored.

Deployments
1 public, best grade B
Autonomy
Supervised agent
Telecommunications

AI agent for telecom bill explanation and billing disputes

A bill explanation and billing dispute agent is an AI agent that explains a customer's telecom bill line by line and answers why a charge changed or appeared. It works in plain language on any channel, corrects clear errors within set limits, and opens a billing dispute with the evidence attached when a human has to decide.

Deployments
4 public, best grade B
Reported first contact resolution
60%
Vodafone, organization claim
Telecommunications

AI assistant for B2B telecom quoting, sales and service

A B2B telecom quoting and service assistant is an AI that answers business customers' product, pricing and contract questions and prepares configurations and quotes for connectivity, mobile fleets and devices. It also serves the sellers who look after these accounts, drafts responses to tenders, and handles routine service requests and fault tickets, with a sales or service specialist approving anything binding.

Deployments
5 public, best grade B
Reported containment rate
70%
SoftBank Corp., organization claim
Telecommunications

AI assistant for telecom order to activation and eSIM onboarding

An AI order to activation and eSIM onboarding assistant takes a new or existing customer from order to a working service. It collects and checks the order details, guides number porting, eSIM download or SIM activation and installation appointments, tracks the order and fixes or escalates the step that is stuck, on messaging, app, web or phone.

Deployments
3 public, best grade B
Reported automation rate
76%
Singtel, organization claim
Telecommunications

AI assistant for telecom plan upgrades, add ons and sales

A plan upgrade and sales assistant is an AI assistant that helps telecom customers choose, compare and buy the right mobile, broadband or TV plan, device or extra. It serves existing and prospective customers in the app, in messaging, on the phone or through a human advisor, using their usage and eligibility and the operator's current offers, and it completes the order or passes a ready quote to a person.

Deployments
9 public, best grade B
Reported conversion uplift
75%
Telenet, vendor claim
Telecommunications

AI assistant for telecom retail stores, from associate copilot to digital human kiosk

A retail store and kiosk assistant is AI for telecom shops that gives store associates quick, sourced answers on plans, promotions, devices and the customer's account during the conversation. It can also greet and serve customers directly on an in store screen or kiosk, sometimes as a digital human, handing them to an associate when they are ready to buy or need help.

Deployments
5 public, best grade B
Reported accuracy
95%
Bouygues Telecom, vendor claim
Telecommunications

AI copilot for field technicians and dispatch optimization

A field technician copilot is AI that decides whether a fault needs a site visit at all and predicts what work and parts the job will need. It also helps plan and update appointments, and gives technicians on site guided diagnosis and instant answers from manuals and past jobs, so more jobs are fixed on the first visit.

Deployments
4 public, best grade B
Autonomy
Copilot
Telecommunications

AI copilot for network operations centre (NOC) fault triage

AI copilot for network operations centre fault triage correlates network alarms and performance data into a small number of probable faults for engineers. It draws on radio, transport, core and fixed network data, ranks faults by customer impact, proposes the likely root cause and fix from runbooks, vendor documentation and past tickets, and routes the ticket to the right team, while an engineer decides what to change.

Deployments
8 public, best grade B
Reported cycle time reduction
at least 95%
Deutsche Telekom, organization claim
BankingPayments and cards

AI for application and identity fraud detection

Application and identity fraud detection is AI that checks incoming account and loan applications for banks and lenders to catch forgery and fraud rings. It analyses documents, device and application data across the whole queue and cross checks against bureau and official sources to flag forged or AI generated documents, synthetic and stolen identities, and coordinated rings.

Deployments
8 public, best grade B
Reported detection improvement
2.5x
Department for Work and Pensions, organization claim
Cross industryBanking

AI for complaints root cause and systemic issue analysis

AI complaints root cause analysis reads the free text of complaints across all channels and clusters it into themes to find the systemic causes behind them. It separates systemic causes from one off events, links each theme to the product, process or control behind it, and routes the insight to the owner who can fix it. A human validates every root cause and every remediation.

Deployments
3 public, best grade B
Autonomy
Copilot
Telecommunications

AI for fibre network route and build planning

Fibre network route and build planning is AI that turns geospatial survey data, existing infrastructure records and historical civil works costs into a proposed fibre route and a cost estimate. Planners spend less time drawing routes by hand and get a more consistent, defensible estimate before construction starts.

Deployments
8 public, best grade B
Reported cycle time reduction
about 75%
Bonfire Fiber, organization claim
Cross industryBanking

AI for IT incident triage and root cause analysis (AIOps)

AIOps incident triage is AI that turns a flood of monitoring alerts into one probable incident and routes it to the right team. It also proposes likely root causes and remediation from runbooks and past incidents, and drafts the stakeholder updates and the post incident review, while an engineer authorizes every change.

Deployments
9 public, best grade B
Median time to repair reduction
72%
5 deployments
Telecommunications

AI for mobile network planning and capacity optimization

AI network planning and capacity optimization is machine learning that forecasts where and when a mobile network will run out of capacity, for network planners. It recommends where to add cells, spectrum or hardware, and continuously tunes radio parameters so existing capacity carries more traffic, with planners approving investments and major changes.

Deployments
9 public, best grade B
Reported cycle time reduction
at least 95%
Deutsche Telekom, organization claim
Telecommunications

AI for predictive network maintenance in telecom

Predictive network maintenance is machine learning that spots early signs of network failure and triggers a fix before customers lose service, for telecom operators. It watches for degrading cells, faulty customer equipment, ageing hardware or planned digging near fibre, and triggers a preventive fix, a remote reset or a targeted intervention.

Deployments
9 public, best grade B
Autonomy
Supervised agent
Telecommunications

AI for radio access network energy optimization

RAN energy optimization is machine learning that cuts a mobile network's electricity use by putting radio equipment to sleep when demand is low. It predicts traffic per cell, puts carriers, cells and hardware components into sleep modes, and wakes them again before users notice, without losing coverage or quality.

Deployments
8 public, best grade B
Reported energy savings
about 15%
Telkomsel, organization claim
Telecommunications

AI for telecom churn prediction and retention offers

AI churn prediction and retention is AI for telecom operators that scores each subscriber's risk of leaving from usage, service, billing and contact signals. It explains the likely reason and chooses the next best retention action, such as fixing a problem, adjusting a plan or making an offer, delivered through the app, messaging, an agent or an advisor within approved offer budgets.

Deployments
5 public, best grade B
Reported churn reduction
20%
Telenet, vendor claim
Telecommunications

AI for telecom fraud detection (SIM swap, IRSF and Wangiri)

Telecom fraud detection is AI that protects an operator's network, revenue and numbers from fraud by watching call, messaging, roaming and account activity. It detects SIM swap and port out takeovers, international revenue share fraud (IRSF) and Wangiri one ring scams, blocks or flags them in real time, and shares risk signals with banks and other businesses that rely on the phone number for security. Scam calls aimed at subscribers are handled by call blocking.

Deployments
4 public, best grade B
Reported detection improvement
30%
Vodafone, organization claim
Cross industryBanking

AI quality and compliance monitoring of every customer interaction

Call quality and compliance monitoring is automated quality assurance that transcribes and scores every customer interaction, voice and chat, against the organization's own rubric. It checks required disclosures and script adherence, flags conduct and mis selling risk, and surfaces coaching opportunities, instead of the small sample a human QA team can review.

Deployments
9 public, best grade B
Reported quality score uplift
about 10%
British Gas, vendor claim
Cross industryGovernment and public sector

AI reply drafting for customer email and support tickets

AI reply drafting for customer email and support tickets is a copilot that drafts the reply to an incoming email, message or ticket once it reaches a service agent. It summarizes the request, pulls the relevant customer data and approved knowledge, and drafts the reply in the organization's tone and the customer's language for the agent to check, edit and send. Live calls and chats, and the sorting of the inbox itself, are separate use cases.

Deployments
7 public, best grade B
Reported cycle time reduction
about 50%
HYPE, vendor claim
Cross industryBanking

AI roleplay training for customer conversations

AI conversation roleplay training is a simulator where generative AI plays a realistic customer, by voice or text, so staff can rehearse difficult conversations. Service, sales and crisis staff can practice as often as they need before handling live conversations, and receive structured feedback against the organization's own standards.

Deployments
9 public, best grade B
Median time to proficiency reduction, vendor reported
20%
4 deployments
Cross industryTelecommunications

AI sales call coaching and CRM update

Sales call coaching and CRM update is AI for sales teams that analyses sales calls and meetings against the team's own sales method to coach sellers and their managers. It also writes the call summary, next steps and opportunity updates into the CRM for the seller to confirm, aiming at winning deals and building selling skill, not the regulated advice record or general meeting notes.

Deployments
6 public, best grade C
Reported time saved per task
3 minutes
Sandvik Coromant, organization claim
Telecommunications

AI spam and scam call blocking for mobile and landline subscribers

Spam and scam call blocking is AI in the operator's network that protects subscribers from unwanted calls by analysing incoming calls in real time. It blocks known fraudulent calls and labels suspected scam, spam and spoofed calls on the customer's screen before they answer, so subscribers can decide whether to pick up. Fraud against the operator itself, such as SIM swap or revenue share fraud, is a separate use case.

Deployments
6 public, best grade B
Autonomy
Autonomous
Cross industryBanking

Real time AI assist for contact centre agents

Live agent assist is AI that helps a contact centre agent during a live call or chat by transcribing it and surfacing the right knowledge and next step. It also drafts responses and writes the after call summary and CRM notes, while the agent stays in control of what is said and done.

Deployments
16 public, best grade B
Median productivity gain
20.5%
4 deployments

Free PDF playbook

AI use cases in telecommunications: the playbook

28 use cases with deployments, value, playbooks and governance, in one document for your team.

What the evidence says

Computed from the 90 public deployments behind these use cases at telecommunications organizations. Numbers update with every checked record.

Benchmarks with at least 3 pooled values

Benchmarks across Telecommunications use cases
KPIMedianReported rangeData pointsClaimed by
Containment rate70%
25% to 73%
53 organization, 2 vendor
Conversion uplift15% vendor reported
1.9% to 75%
33 vendor
Cycle time reduction90%
75% to 95%
32 organization, 1 vendor
Deployments by stage
  • Announced
    4
  • Pilot
    12
  • Production
    44
  • Scaled
    30
Public deployments by region
  • Europe
    40
  • Asia Pacific
    28
  • North America
    12
  • Middle East
    7
  • Africa
    2
  • Latin America
    1

Organizations with a public deployment

  • A1 Telekom Austria Group
  • Advanced Info Service (AIS)
  • Asiacell
  • BT Business
  • BT Group
  • Bell Canada
  • Bharti Airtel
  • Bonfire Fiber
  • Bouygues Telecom
  • China Mobile
  • China Unicom Sichuan
  • Comcast
  • Deutsche Telekom
  • Digital Nasional Berhad
  • Etisalat
  • Grameenphone
  • Hughes Network Systems
  • Indosat Ooredoo Hutchison
  • KDDI
  • LG Uplus
  • Lumen Technologies
  • Magyar Telekom
  • Mobily
  • NTT DOCOMO
  • Nomad eSIM
  • O2 Telefónica Germany
  • OTE Group
  • Ooredoo Qatar
  • Openreach
  • Orange
  • Orange France
  • Orange Slovakia
  • Proximus
  • Rakuten Mobile
  • Reliance Jio
  • SK Telecom
  • Safaricom
  • Singtel
  • SoftBank Corp.
  • T-Mobile
  • TIM Brasil
  • TPG Telecom
  • Telefónica
  • Telefónica España
  • Telenet
  • Telia
  • Telkomsel
  • Telstra
  • UPP
  • Verizon
  • Virgin Media O2
  • Vodacom
  • Vodafone
  • Vodafone Business
  • Vodafone Germany
  • Vodafone UK
  • du
  • eir
  • nbn
  • stc Group

The same use cases in other industries

95 public deployments at 91 organizations outside telecommunications run these use cases too. They are not counted in the numbers above; each use case page shows them.

Other industries