Call transcription and AI summaries are features of a business phone system that write down every word of a call and then produce a short summary and a list of follow-up tasks, ready when the call ends. Speech-to-text software turns the voice into a written transcript. An AI language model then reads the transcript and writes the summary.
Before this, a salesperson or a support executive spent several minutes after each call typing notes, and many details were lost. Now the notes arrive with the call. Cloud phone companies compete more and more on how good these notes are, rather than on the quality of the call itself.
How does it work? During the call, the cloud phone system sends the audio of both sides, as two separate streams, to a speech-to-text model. Because the streams are separate, the transcript shows who said what. The model writes the text a second or two behind the speech. When the call ends, the language model reads the whole transcript. It writes a summary of a few lines, lists the promises made on the call, and fills in fields such as the customer's name and the next step.
Consider a 14-minute call between a home loan executive at a housing finance company in Dehradun and a customer who wants a loan of ₹35 lakh. During the call, both of them use a mix of Hindi and English. Within 30 seconds of the call ending, the system shows: "Customer is salaried, with a monthly income of about ₹1.1 lakh. Wants ₹35 lakh for a flat; possession in March. Concerned about the interest rate. Next steps: send the list of documents today; call back on Thursday after 6 p.m." The executive checks the summary and saves it into the company's customer relationship management (CRM) system with one click.
Indian calls are a hard case for these models. People switch between languages within one sentence, and accents vary from region to region. The models must be trained on calls like these to produce accurate transcripts.
There are rules too. The caller should be told that the call is being recorded. The transcripts contain personal and financial details, so they must be stored securely. Under India's Digital Personal Data Protection Act, 2023, whose main duties apply from 13 May 2027, they must also be deleted when they are no longer needed.
The same idea appears elsewhere. Support teams in a contact centre use it on every call. Conversation intelligence goes further: it analyses thousands of calls to find complaints and to score each agent. Video meetings produce meeting notes in the same way. In hospitals, an AI medical scribe listens to the doctor's consultation and drafts the clinical note.