Analysis for machines, relationships for humans

Discover 5 concrete use cases for customer conversation analysis: churn detection, cross-sell, compliance, agent coaching, and customer satisfaction improvement.

Complete guide to quality monitoring in call centers: essential KPIs, evaluation grids, transition to AI automation, and step-by-step deployment.

Weak signals, churn risks, commercial opportunities: 99% of customer calls are never analyzed in depth. Discover why human listening is no longer enough and how automated conversational analysis is changing the game.

Internal teams, BPO providers, callbots and chatbots: 3 entities, 3 quality levels, and no common framework to compare them. Discover how automated Quality Monitoring creates a unified benchmark that reveals performance gaps — with ROI simulations per entity type.

Insurance (IDD), banking (MiFID II), mutual insurance, leasing: each sector has specific verbal compliance obligations, but only 2 to 5% of calls are actually audited. Discover how AI-powered conversational analysis transforms compliance monitoring into a competitive advantage — with ROI simulations by sector.

NPS, surveys, CRM: traditional tools capture churn symptoms, not its causes. Discover how AI-powered conversational analysis reveals the 5 invisible departure patterns in your support conversations — and how to act before it's too late.

Raisetalk deploys Voxtral Transcribe 2 by Mistral AI: native diarization, 4% WER and French sovereignty. Discover how this new STT model reshapes the comparison.

Discover the requirements of ISO 18295-1 standard for customer contact centers, quality evaluation criteria, and how AI conversational analysis facilitates certification.

Discover how AI transforms Quality Monitoring: analysis of 100% of conversations, personalized agent training, automatic regulatory compliance, and continuous improvement of customer satisfaction.

Technical KPIs measure efficiency, not satisfaction. Surveys have low response rates. Discover how AI conversational analysis reveals your customers' true voice across 100% of interactions.

Quality Monitoring, Sales Compliance, Voice of Customer: the choice of transcription model determines the reliability of your analyses. Comparison of the 7 STT models available on Raisetalk, with our recommendations by use case.

Your conversational analysis platform reveals crucial information about your customers. The data is there, in your reports... But when you consult them, it's often too late.

Raisetalk enriches its offering with Mistral AI, the French generative AI champion. A new step in our independence strategy from LLM providers.

Conversational analysis platforms allow you to automatically evaluate hundreds of criteria on each interaction. But some elements remain impossible to detect automatically, because they simply are not in the conversation.

Conversational analysis is much more than just transcription, and choosing software raises strategic questions.

Far beyond simple multilingual transcription, these solutions integrate advanced features such as sentiment analysis, attitude detection, and strategic insight extraction from every interaction.

Because understanding a call should never come at the expense of confidentiality.

Phone conversations are full of valuable insights... but 90% are never analyzed.

In a context where every interaction counts, companies are looking to optimize their quality assessment methods to guarantee customer satisfaction

Your conversations are a goldmine, and Raisetalk allows you to extract them reliably and in detail.