LiraX helps automate voice scenarios: mass notifications, confirmation of receipt of information, recognition of caller responses, and transmission of results to CRM or external systems.
The system independently calls the subscriber list, plays messages, and records the result of each call.
The subscriber can confirm with a voice that they have received and understood the information, or leave a short response.
LiraX can recognize the caller's responses, highlight key information, and transfer it to the business system.
If necessary, the system can use the caller's voice identification for additional identity verification.
You can configure various scenarios: informing, confirming, calling back, transferring to an operator, or collecting additional data.
Call results can be transmitted to a CRM, API, call center, ticketing system, or other external platform.
The system can play messages for automated calls: alerts, reminders, confirmations, instructions, or informational messages.
LiraX can convert a conversation recording into text so that it can be analyzed, searched, transferred to a CRM, or used for quality control.
AI can determine the topic of the appeal, a brief summary, the outcome of the call, key issues, emotional tone, and next steps.
The system helps find situations where the operator did not ask an important question, did not work out an objection, did not suggest the next step, or deviated from the script.
For each conversation, you can form an assessment according to the company's rules: greeting, clarification of the need, correctness of the answer, end of the call, and result.
The manager sees not only call recordings, but also ready-made conclusions: who needs to be trained, which scripts need to be improved, and which problems are recurring.
What questions do customers most often ask, what problems do they have, and what prevents them from closing an application or sale.
Do the operators follow the script, ask the right questions, handle objections correctly, and conclude the conversation with a result?
Where customers most often do not receive a response, where repeated requests arise, what topics require operator training.
A brief summary of the conversation, customer status, next action, responsible manager, and important details without manual listening.
Who answered, who confirmed the information, who needs a repeat call, and who needs to be transferred to the operator.
Call data can be used to improve scripts, train operators, monitor service, and increase conversion.
You transfer a list of numbers, message text, call script, and response processing rules.
The system calls subscribers, plays the message, listens to the response, and determines the result.
After the call, statuses are available: whether the call was successful or not, whether the subscriber confirmed the information that he answered, and whether operator action is required.
Quickly inform employees about important events, emergencies, schedule changes, or service messages.
Automatic calls with reminders about an appointment, payment, delivery, application, or other event.
Receiving voice confirmation that the subscriber heard, understood and accepted the message.
The system can ask a question, recognize the answer, and transmit the result to the CRM or operator.
Checking which callers are available, who did not answer, and who needs a repeat call.
AI scenarios can reduce the workload on operators by automating typical calls.
Describe the task: who to call, what to report, what response to get, and where to send the result.
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