Use cases
Use cases
Each use case is a concrete job: the problem, how the platform solves it step by step, and the result you get. Start with AI readiness, then add outbound calling, quality control and analytics.
AI transformation
AI in calls starts with data, not a bot. First understand your conversations and build knowledge from them, then train AI on that. Three steps of one path.
The prep stage before AI transformation
AI in calls starts with data, not a bot. The platform maps your archive by topic, language and quality and gives a plan for where AI applies first.
Learn moreBuild a knowledge base from your calls
Transcribe the archive and let the Knowledge Base AI canvas pull FAQs, objections and product facts from real dialogues — a living knowledge base.
Learn moreTraining your AI on your own calls
Configure the bot and secretary on tagged calls, test them against historical dialogues, and refine — a loop of call → analysis → improvement.
Learn moreAll use cases
Jobs the platform handles today — from outbound calling to coaching operators on real call data.
Quality control on 100% of conversations, not a sample
Review every call, not 2–3% at random. The platform transcribes the stream, scores script and politeness, and tags and alerts on violations.
Learn moreLead qualification with outbound AI calling
A new inquiry triggers an instant voice-AI call: scripted questions, required fields, the result pushed to CRM, and hot leads handed to a rep.
Learn moreAppointment reminders and confirmations by voice
A voice AI agent calls clients the day before, confirms or reschedules the appointment in the conversation, and writes the result to CRM and calendar.
Learn moreVoice NPS and CSAT surveys after a contact
A voice AI agent runs a short NPS/CSAT survey after a contact, and the platform extracts sentiment and topics and builds a loyalty-trend dashboard.
Learn moreReactivating dormant customers with a voice AI agent
A CRM segment → a personalized voice-AI outbound call → interest captured in fields → warm leads to a manager. Analytics show why customers left.
Learn moreGentle payment reminders with a voice AI agent
A respectful voice AI agent reminds about payment, captures the promise to pay into fields, keeps a compliance recording, and escalates hard calls.
Learn moreScript and standards control on every conversation
AI checks a stage checklist on 100% of calls: greeting, needs, presentation, objections, close. Adherence metrics per agent and alerts on breaches.
Learn moreCoaching agents on call data
Objective conversation metrics — interruptions, talk ratio, pace, filler words — per agent. Review moments by timecode instead of gut-feel coaching.
Learn moreAn AI prompter in the live conversation
The AI secretary transfers the call to an operator and stays on the line: context summary, next-step prompts, risk warnings. Result written to CRM.
Learn more24/7 call intake without growing the team
The AI secretary answers at night, at peak and on holidays: it runs the dialogue, collects the request into fields and escalates urgent ones.
Learn moreReady to start?
Turn every conversation into data, knowledge and action
Start by analyzing your conversations — no risk, no bots required. The platform turns your archive into data and a knowledge base, and voice agents plug in when you're ready.
Free plan, no card required.