inSpeech

inSpeech features a high-fidelity Automatic Speech Recognition (ASR) engine capable of transcribing audio in multiple languages and dialects. This capability ensures that global operations can centralize their quality management to maintain semantic accuracy even with diverse regional accents and distinct terminologies.

Going beyond simple keyword spotting, the software utilizes Business Logic Units (BLUs) to interpret the context and meaning behind customer statements. This semantic analysis helps distinguish between similar phrases with different intents, which significantly reduces false positives in compliance and trend reporting.

inSpeech enables a shift from manual sampling to automated auditing of all interactions. It scores every call and message against objective criteria, which allows supervisors to focus their coaching efforts solely on the interactions that the AI flags as critical or non-compliant.

The platform monitors live audio streams to detect physical characteristics of the voice, such as pitch, volume, and silence duration. It triggers immediate alerts for supervisors if it detects aggression or prolonged silence, which allows for real-time intervention to save at-risk customer relationships.

Unlike standard analytics tools, inSpeech software includes specialized modules to monitor and manage the consumption of agent resources. These visualization tools provide managers with a clear view of operational efficiency, which links cost metrics directly to performance outcomes for better ROI tracking.