Use cases

Sales & Customer Conversations

The conversation says one thing. The customer might mean another.

Sales conversations are full of information that never makes it into the transcript. Hesitation before an answer. A change in tone. Growing confidence. Uncertainty masked by a quick "yeah, that makes sense." Interhuman gives AI access to those signals, helping it understand not just what a customer says, but how they are communicating it.

What you can build

Opening

Better sales coaching

Give sales teams feedback on how conversations unfold, not just what was said.

Adaptive sales agents

Enable AI agents to recognise when a customer is uncertain, disengaged or ready to move forward.

Richer customer intelligence

Understand patterns across conversations that traditional call analytics cannot capture.

It's a bit steep for us right now.Hesitation

SLOWER PACE

Hesitating on pricing. Add context before the next step.

More responsive customer experiences

Build systems that can adapt their behaviour to the person in front of them.

The problem

Most sales AI treats a conversation as a sequence of words.

That works for extracting facts, summarising calls and identifying keywords. But the most useful moments in a conversation are often harder to put into text.

A customer can say they are interested while sounding unconvinced. They can agree without being comfortable. They can become engaged without explicitly saying so.

The difference matters.

What Interhuman adds

Interhuman analyses behavioural signals in speech and communication to give AI a richer picture of the interaction.

That can help systems identify changes in engagement, confidence, hesitation and conversational dynamics, signals that are otherwise lost when a conversation becomes a transcript.

Why it matters

The next generation of sales AI won't just know the conversation. It will understand the interaction.