daisee is an AI-powered conversation intelligence and quality assurance platform that helps contact centres analyse customer interactions at scale. It uses AI to understand conversations, identify key trends and risks, and provide actionable insights that help businesses improve customer experience, agent performance and operational outcomes.
AI quality assurance automatically analyses customer interactions against predefined quality criteria, rather than relying solely on manual call monitoring. daisee analyses conversations at scale to identify behaviours, outcomes, risks and opportunities, helping quality teams spend less time manually reviewing calls and more time taking action.
AI-powered conversation analytics uses artificial intelligence to analyse conversations between customers and agents. It can identify topics, sentiment, customer outcomes, compliance risks, behaviours and other patterns across large volumes of interactions. This gives contact centres a more complete view of what is happening across their customer conversations.
Yes. Unlike traditional quality assurance, which typically relies on sampling a small percentage of calls, daisee can analyse customer conversations at scale. This allows businesses to identify trends, risks and opportunities across their entire contact centre rather than relying on a limited sample of interactions.
AI can make quality assurance faster, more consistent and more comprehensive. Instead of manually listening to a small sample of calls, quality teams can use AI to analyse conversations at scale, identify calls that require attention and uncover recurring customer or agent behaviours.
Yes. daisee provides insights into agent and customer interactions that can help identify coaching opportunities, recognise effective behaviours and understand where additional support may be required. This allows contact centre leaders to move beyond simply measuring performance and focus on improving it.
daisee analyses customer conversations to identify the factors influencing customer experience and outcomes. By understanding what customers are saying and how conversations are progressing, businesses can identify recurring issues, customer pain points and opportunities to improve their overall customer experience.
Yes. daisee can analyse conversations to identify sentiment and customer experience signals. This helps businesses understand how customers are feeling during interactions and identify conversations where customers may be dissatisfied, at risk or likely to have a positive experience.
daisee uses AI models to analyse conversations and identify language and patterns associated with complaints and other customer outcomes. This enables businesses to identify potential complaint interactions and understand the underlying themes driving customer dissatisfaction.
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