CallCenterAI

CallCenterAI is an ML-powered contact center solution that improves agent productivity, enhances CX, and works alongside any legacy environment.

LLM-GenAI-powered Call Summary for 100% of the calls saves an average of 10% of time, ensuring better productivity, consistent documentation, and overall operational efficiency.

With call summaries covering 100% of interactions, businesses can reduce average call wrap-up time by 50%, significantly improving productivity and consistent documentation for efficient resolution. Call summaries help contact centers to tremendously enhance customer experience, agent productivity, and faster first-call resolutions. This solution is also vital for decision-making as insufficient or inaccurate summaries and hidden biases can hinder problem resolution, leading to subpar customer experiences.

Sentiment Analysis of the call offers valuable insights into agent interaction and customer satisfaction, enabling real-time corrective actions wherever required to boost CX and engagement.

Sentiment analysis helps prevent churn by addressing issues before they escalate. Unlike traditional, infrequent NPS measurements, our customer sentiment metric serves as a high-frequency NPS proxy with daily updates. The solution also predicts sentiment triggers, identifying specific actions or events that cause shifts in customer sentiment, allowing businesses to respond quickly to both positive and negative changes.

Call Scoring for 100% of the calls ensures consistent, uniform assessments of call-handling quality, helping identify improvement areas and promoting the best practices.

Manual scoring is labor-intensive and prone to errors. CallCenterAI automates call scoring, providing consistent evaluation of agent performance and identifying areas for improvement. This process reduces agent churn, improves customer interactions, and enables proactive engagement with dissatisfied customers. By scoring all calls, call centers can continuously enhance service quality, aligning agent performance with customer expectations for better outcomes.

Agent Insights captures key factors such as call greetings, caller verification, and call hygiene to assess agent performance and taking corrective actions to improve call handling capabilities.

By analyzing these key metrics, businesses can identify areas for improvement, deliver targeted coaching, and take corrective actions, ultimately enhancing call handling capabilities and improving overall customer experience and satisfaction. Additionally, such analysis helps in modelling the right behaviour across all agents while handling calls, ensuring consistent service quality, fostering employee growth, and driving better customer retention.

Call Reason captures highly accurate and unbiased, multi-tiered insights, revealing the diverse motivations behind customer calls for better understanding.

By capturing detailed, multi-tiered call reasons, businesses can gain a clearer understanding of customer motivations, concerns, and pain points. This data offers deeper insights into recurring issues and trends, allowing teams to proactively address common problems, streamline resolutions, and tailor solutions more effectively. As a result, businesses can improve customer experience, reduce call volume, and drive better outcomes by addressing the root causes of customer inquiries.

Call summary

Call Summary for 100% of the calls saves an average of 10% of time, ensuring better productivity, consistent documentation, and overall operational efficiency.

Sentiment analysis

Sentiment Analysis of the call offers valuable insights into agent interaction and customer satisfaction, enabling real-time corrective actions wherever required to boost CX and engagement.

Call Scoring

Call Scoring for 100% of the calls ensures consistent, uniform assessments of call-handling quality, helping identify improvement areas and promoting the best practices.

Agent Insights

Agent Insights, captures key factors such as call greetings, caller verification, and call hygiene to assess agent performance and taking corrective actions to improve call handling capabilities.

Call Reason

Call reason captures highly accurate and unbiased, multi-tiered insights, revealing the diverse motivations behind customer calls for better understanding.

We take the risks, and you reap the rewards.

Cut costs, enhance CX, and boost contact center productivity

CallCenterAI is an ML-powered contact center solution that improves agent productivity, enhances CX, and works alongside any legacy environment.

Call summary

Sentiment analysis

Call Scoring

Agent Insights

Call Reason

Value Proposition

Why is CallCenterAI better?

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