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Conversational Intelligence
2 min read

See Conversational Intelligence in action: three demos, three real use cases.

Last updated 10 June 2026

Jordy van Gent
VP Revenue Marketing at Puzzel
Use cases:

Every customer conversation holds insight that your contact centre could be acting on. These short, self-serve demos show exactly how Puzzel Conversational Intelligence turns that insight into better quality, sharper coaching, and less admin.

Most contact centre leaders already know their conversations are full of useful signals. The problem is real. Manual quality scoring covers a tiny sample of calls. Coaching depends on whichever interactions a team leader happens to listen to. And after every call, agents lose minutes to notes and tagging that could have gone to the next customer.

Conversational Intelligence closes that gap by analysing every conversation, across voice, chat and email, and turning it into something your team can act on. Rather than describe that in the abstract, we have built a library of short interactive demos, each focused on a single use case. You can explore them yourself, at your own pace, without booking anything.

Here are the three worth starting with.

1. Quality Assurance: score every conversation, not a sample

Traditional QA reviews a handful of calls per agent per month. That leaves most of your customer conversations unseen, and most quality decisions resting on a sample too small to trust.

Conversational Intelligence analyses language, sentiment and tone across all of your interactions, so quality scoring reflects what is actually happening, not what a reviewer had time to check. It surfaces the patterns behind strong and weak conversations, which lets you standardise best practice across the whole team rather than coaching one agent at a time.

JFM did exactly this. By analysing language, sentiment and tone, the team standardised best practice across agents and saw a 62% increase in customer satisfaction. The QA demo walks through how that analysis looks in practice, from sentiment trends to the specific conversations driving a score.

 

2. Agent Training: coach from real conversations, not guesswork

Good coaching needs evidence. Without it, feedback drifts towards general advice that is hard for an agent to act on.

Conversational Intelligence gives managers direct access to the moments that matter. It highlights individual strengths, flags where an agent is struggling, and pulls out real examples of best practice to share. That turns a coaching session from a conversation about averages into a conversation about specific, fixable behaviours.

Lyreco used these insights to make coaching more focused and cut average call duration by 15% while reducing manual work for the team. The Agent Training demo shows how a manager moves from a performance trend to the exact interaction behind it, ready to use in a one-to-one.

 

3. AI Summary: cut the admin after every call

Wrap-up time is one of the quietest drains on a contact centre. A minute or two of notes and tagging per call adds up fast, and it is time agents are not spending with customers.

Conversational Intelligence uses generative AI to transcribe and summarise conversations automatically, so the record writes itself. Agents move to the next customer faster, and the summaries feed straight into your wider analysis rather than sitting in free-text notes nobody reads.

Telmore put this to work across 80 agents and now saves more than 400 hours every month through automated call analysis and tagging, with better call quality alongside it. The AI Summary demo shows what an agent sees the moment a call ends, and how that summary flows into reporting.

 

Insight that reaches beyond the contact centre

The same conversations that improve QA, coaching and admin also tell the rest of your business what customers are struggling with. Product, marketing and CX teams can use that feedback to refine journeys, fix billing friction, and shape what they build next.

As Søren Kristian Steffensen, Analytics Manager at DSB, put it: "We quickly gained insights into our challenges, opportunities and future possibilities. Now, we genuinely understand customer struggles. We've flipped our approach, aligning digital services directly with customer needs."

Across customers, the pattern is consistent: a 40% increase in CSAT, a 25% reduction in contact centre costs, and a 30% improvement in customer retention.

Explore the demos

The fastest way to understand Conversational Intelligence is to see it work on a problem you recognise. Pick the use case closest to yours and explore the demo, no form, no call required.

Browse the interactive demo library, then book a personalised demo when you want to see it tailored to your situation.

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