The outcomes teams like yours see with Tars
Purpose-built AI agents for telecom
Customer Support
Resolve the questions that flood your call center, and keep your agents for the ones that need them.
Resolve billing and usage questions instantly
The agent handles the questions that fill your call center: this month's bill, why a charge is higher, remaining data and minutes, how to change a bill limit, and how to pay. It answers only from your approved plans and policies, not the internet's, and takes the payment with a link-to-pay inside the same chat.
It works on web, WhatsApp, and SMS, reads your billing and CRM systems to answer from live account data, and runs the payment step as a strict, deterministic flow so it happens the same compliant way every time.
Subscribers get an answer in seconds on the channel they messaged from, and your agents stop spending their day on "what's my balance."

Troubleshoot devices and connections at L1
The agent runs the L1 troubleshooting your team repeats all day: no signal, slow data, a router that won't connect, APN and roaming settings, a SIM that isn't registering on the network. It walks the subscriber through the fix step by step instead of queuing them for a callback.
It works across web, WhatsApp, and SMS, and when a fault needs a network ticket or a field visit, it hands the case to your team with the full thread, what the subscriber tried, and what failed.
Most connection problems get solved in the conversation, and only the genuine faults reach your technical queue.
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Keep subscribers informed during outages
When a tower or service goes down, the agent answers the flood of "is it down in my area?" questions in real time, confirms the outage by location, and gives an honest restoration estimate, so your call center doesn't take the same call ten thousand times.
It works on web, WhatsApp, and SMS, and can proactively message affected subscribers, then notify them in the same thread the moment service is restored.
Your subscribers stay informed instead of anxious, and your agents are freed to work the outage instead of reciting its status.

Save churn-risk subscribers in the conversation
When a subscriber signals they want to leave, asking to cancel, requesting a port-out code, or comparing a competitor's offer, the agent recognizes the intent and responds with a retention offer that fits their plan and tenure, right there in the chat.
It reads the account to tailor the offer, runs any approval as a deterministic step, and hands genuinely at-risk or high-value accounts to a retention specialist with the full history, so the subscriber never restarts the conversation.
You catch churn at the moment of intent instead of in a monthly report, and your retention team spends its time on the accounts worth saving.

Customer Acquisition
Turn every visitor and every traveler into an activated, paying subscriber.
Sell broadband and postpaid plans in chat, telesales included
The agent has the sales conversation a prospect actually starts: which plan fits their usage, what's covered, what it costs, and how to sign up. It qualifies need, recommends the right broadband or postpaid plan, and carries the customer from the first question to a completed order without a callback or a form.
It works across web, WhatsApp, and SMS, runs as a two-way telesales conversation the prospect can reply to, and writes the qualified lead and the order into your CRM so a human picks up only what needs them.
Vodafone Qatar automated 432,000+ conversations across its lead-generation chatbots and reached a 32% lead conversion rate, its best on record.

Activate SIMs and eSIMs end to end on WhatsApp
The agent runs SIM and eSIM activation from start to finish: it collects the details, verifies identity, provisions the line, and delivers the eSIM QR code or confirms the SIM is live, all inside one WhatsApp conversation instead of a store visit.
Identity verification and provisioning run as deterministic steps so every activation follows the same compliant sequence, and the agent writes the activated line back to your provisioning and CRM systems.
More new lines get activated the moment a customer is ready, instead of stalling at a store queue or an abandoned web form.

Sell and activate roaming plans the moment a traveler needs them
The agent reaches a subscriber exactly when roaming matters: when they hit their bill limit abroad, when their passport pack expires, or when they land at the airport, then sells and activates the right roaming pack in the same conversation. It is the moment a traveler is most willing to buy.
It works on WhatsApp and SMS, takes payment with a link-to-pay inside the chat, and runs the activation as a deterministic flow so the pack is live before the next call connects.
You capture roaming revenue during the travel season instead of after it, and the subscriber travels without a bill shock.

Run CVM campaigns: recharges, offers, and plan-exhaustion reminders
The agent runs your customer value management campaigns as two-way conversations: recharge reminders, plan-upgrade and add-on offers, and a nudge the moment a prepaid plan is about to run out, delivered on WhatsApp and SMS where subscribers actually read them.
When someone replies, the agent completes the recharge or activates the offer on the spot with a link-to-pay, and writes engaged subscribers back to your CRM for the next campaign.
American Express reached 49.3% goal completion across tens of thousands of marketing conversations running this kind of two-way campaign, and engaged subscribers act on the offer instead of ignoring a one-way blast.
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How Vodafone Qatar automated 432,000+ conversations and turned them into customers
Vodafone Qatar needed its lead-generation conversations to do more than start a chat, they needed to convert visitors into subscribers across web and WhatsApp, at the scale of a national carrier. Tars AI agents ran those conversations across four lead-generation chatbots on four landing pages, qualifying interest, answering plan questions, and carrying customers to a completed action, including roaming journeys that reached travelers the moment they hit a bill limit or landed at the airport. The result: 432,000+ conversations automated from around 896,000 visits, a 32% lead conversion rate, its best on record, and a 31% closure rate, up from 26%.

One conversation per subscriber, across every channel and every agent.
A subscriber starts a plan question on your website, replies on WhatsApp from abroad, and gets the activation confirmation by SMS. In Tars that is one conversation, not three disconnected tickets. The channel is just where each message arrived. There is no separate live-chat tool either. Your AI agent and your care agents work in the same thread. The agent resolves what it can, and when a billing dispute, a network fault, or a high-value account needs a person, it hands over with the whole story attached: what the subscriber asked, what was answered, and what's still open. No more "went to the live chat" and started again from zero. Your agent reads the full thread before replying. Your subscriber never repeats themselves. And every activation and payment stays inside your compliance boundary.

How Tars Agents Get Better
The Tars agent flywheel
Standing up an agent your customers trust isn't a click a button and you're done story. Tars closes the loop end to end: train, test, deploy, learn, improve. More conversations get resolved instantly, and fewer reach your team, with every interaction.
Train
Connect your knowledge base, past conversations, and the systems your team already uses. The agent learns your products, your policies, and your customers, configured to your own data and rules.
Test
Simulate the agent against real customer questions before launch. Failure modes become validated evaluators, so you see real accuracy before a single customer sees it.
Deploy
Go live on web, WhatsApp, SMS, and email when the numbers say it's ready, with code based and LLM as judge evaluators scoring every conversation.
Get Insights
See which questions the agent struggles with, why escalations happen, and where customers drop off, with resolution broken down by use case.
Improve continuously
Close the gaps, re test, and raise resolution month over month. Each loop resolves more and escalates less.








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