Kiama IntelligenceTalk to us

Customer insights, run by Voice AI

Find out what customers really think, not just what they're willing to type.

Voice Survey runs the interview for you, a short AI-led phone call that surfaces real insight instead of a completed form. People open up more when they can just talk, the AI follows up on whatever they actually say, and every call adds to a dataset that gets more useful over time.

Live call

AI

How did your visit go today?

Customer

Good, but the checkout line was really slow.

AI

Slow how, was it the wait, or something at the till itself?

The problem

Surveys don't get answered. That's the actual problem.

How many responses do you actually get when you send happy customers a survey? And of the ones who do respond, how much of it is something you can act on?

It's not that customers don't have opinions. It's that filling out a survey takes effort, and even a chance to win something rarely feels worth the trade-off. Be honest: how many surveys have you filled out this year? Not many, probably.

Voice Survey fixes the effort problem. Talking is easier than typing, so more people respond, and they say more when they do. Yes, it's AI, and we know that can sound unsettling. Used carelessly, it would be. Used properly, it's just a better way to ask a question, and actually listen to the answer.

See it in action

Short clips, not one long pitch.

Recordings are on their way, real calls, and a real attempt to break the guardrails, so you can judge for yourself instead of taking our word for it. Until they're ready, get in touch and we'll set up a short live call so you can hear it yourself.

Coming soon

A full call, start to finish

A real customer interview, unedited, so you can hear exactly how it opens, follows up, and closes.

Coming soon

Trying to break it

We deliberately try to push the AI off-script, ask it to make promises, derail it into a complaint, and show exactly what it does instead.

Coming soon

More on the way

Different industries, different question styles. We'll keep adding examples as they're recorded.

Ask for a live walkthrough instead

Why voice, not text

The same insight work, with a better response rate and a deeper answer.

Higher response rates

People finish a two-minute call far more often than they finish a text survey. Voice lowers the barrier to actually answering.

Goes deeper automatically

When someone mentions a real experience, good or bad, the AI follows up on it in the moment instead of moving on to the next fixed question.

Lower cost per response

No interviewer to schedule or pay by the hour. Cost stays roughly flat as volume grows.

Always available

Calls happen on the customer's schedule, not during a research team's working hours.

Gets better with use

Every conversation adds to the dataset and sharpens the questions worth asking next, so quality compounds instead of staying flat.

How it works

From a booked call to an answer you can act on.

01

They book a time

A calendar link, or a slot chosen in store. Either way, the customer picks when, not the other way around.

02

The AI runs the interview

A short call: how did it go, what stood out, what would they change. When something is worth digging into, the AI asks a real follow-up instead of moving on. Closes politely, every time.

03

Responses land on a dashboard

Every call gets categorized automatically: opinions, flagged responses, topics coming up again and again, sentiment, NPS.

04

Ask the data questions directly

“What did customers not like about X” or “would customers respond well to Y, and why.” The AI copilot answers from the actual transcripts, with the evidence attached, not a guess.

05

Check the work yourself

Drop into any individual call transcript to see exactly what was said and how the AI handled it. Nothing about the AI's judgment is a black box.

06

Make it yours

Set the AI's voice, the questions it opens with, how deep it digs, and feed it context about your business so its questions get sharper over time.

What you'll actually see

Every call becomes a data point on this.

Example dashboard, illustrative data

0 calls this month

NPS

+0

up 6 from last month

Sentiment

Positive0%
Neutral0%
Negative0%

Topics coming up

Checkout speedStaff helpfulnessProduct availabilityStore layoutLoyalty offers

Ask the data

“What did customers not like about the new checkout flow?”

Across 31 calls that mentioned checkout, the most repeated complaint was queue length at peak hours (19 calls), followed by card readers being slow to respond (11 calls).

Evidenced by 31 transcripts, view sources

Who this is for

Built for teams who need to know what customers actually think.

A customer paying by card at a shop counter

Retail chains

Want to know what a store visit actually felt like, not just what sold. A quick voice call after checkout, or a slot booked in store, tells you more than a receipt-footer survey link ever will.

A busy trade show exhibition floor

Event and trade show teams

Following up on every booth conversation to see what actually landed. Pair it with a small incentive, entering to win something, and response rates go up further.

Product and CX teams

Running NPS or churn interviews that currently rely on text forms with a low completion rate. Same questions, asked out loud, answered more honestly and more often.

A person having a genuine phone conversation outdoors

What the AI will, and won't, do

It's speaking to your customers. We take that seriously.

The most common worry about putting an AI in front of your customers is losing control of what it says in your name. Here's where the line is, plainly, before you ever have to ask.

Stays on the survey. It doesn't speak for your business beyond the questions it was set up to ask.

Never makes a promise on your behalf, no offers, no commitments, no exceptions granted.

Always polite, even when the feedback isn't.

Hands off to a human the moment a call turns into a real complaint or support issue, rather than trying to handle it.

Pricing

Two ways to work with us.

Less than a single day of a research analyst's time each month, running continuously instead of once a quarter. Figures below are starting points, scoped to the size of your rollout.

Teach your team

For teams with their own developers.

From $2,000one-time

Two workshops where we teach your team how to build and run this internally. You end up owning the system outright, we end up out of the way.

  • Two live workshops with your developers
  • Full source code and architecture handoff
  • 30 days of support after handoff
  • You own the system outright
Ask about workshops

White-labelled product

For teams who'd rather we run it.

From $500per month

The full product, licensed and branded as yours. We handle the build and the upkeep, you get the dashboard and the data.

  • Unlimited voice interviews
  • Full dashboard: sentiment, NPS, flagged responses
  • AI copilot for querying your data
  • Branded as yours, we run the infrastructure
Ask about licensing

Talk to us

Reply and tell us what you'd want to ask your customers.

No form to fill in. Just reply, and a real person answers.

team@kiamaintelligence.com