faster handling of contacts
A language model and AI assistants for agents and quality controllers: contacts are handled 7 times faster and 46% of projects use AI.
The analytics reads the calls and chats of your subscriber service and sorts them by reason.
The analytics flags calls with the intent to leave — by the words, not by a tick from the agent. The retention team gets the list with the reason and the recording.
The bot answers from your billing data: how much is on the account, when it will be charged, how to top it up.
What the tariff includes, how to add a bundle, what roaming costs in a given country.
Mobile internet, call forwarding, replacing a SIM — step by step, by voice or in chat.
When a base station goes down, hundreds of identical questions hit the line. The bot takes them on and reports the status: where the fault is and when it will be fixed.
The duty engineer enters the district and an estimated time
The bot works out the subscriber’s district from the number and answers with no queue
The agent only gets the people whose problem is not the outage
If the subscriber service is outsourced, the analytics checks its calls against the same checklists as your own. The report for the contractor and for you comes from one system.
Case study
We will publish the description of the project and the numbers once the client has approved them.
Processing scales by adding servers and does not run into an architectural limit. We will size the exact configuration during the pilot.
Through an API integration with your billing system. The bot identifies the subscriber by the number they are calling from and requests the data during the call.
Yes: Asterisk, Avaya, Naumen and others over SIP and MRCPv2. Streaming mode needs access to the call audio in real time.
Send us a week of recordings. We will return the reasons people call, a list of subscribers who intend to leave, and the things you have not heard yet.
