Conversational IntelligenceConversational Intelligence turns calls and meetings into a searchable record of what your customers actually said. Not a sample. All of them, from the phone system, Teams, Zoom, Meet and uploaded files.
The blind spot
No new habits for the team. Conversations keep happening where they happen today, and the record builds itself.
Calls from your phone system, meetings from Teams, Zoom and Meet, plus anything your team uploads. Nothing to install for the customer, nothing to remember for the agent.
A full transcript with speakers separated, sentiment across the call, the topics that came up, and the objections that keep coming back.
Every commitment becomes a task with an owner and a date. Risky calls raise an alert the same day. The summary lands in the CRM before the rep opens a laptop.
Inside the product
Four screens do most of the work. Everything else is search.
Filter by source, sentiment, length, client or team. Search for a phrase and land on the second it was spoken.
Show me calls where price came up
Which calls ended under thirty seconds?
Everything from this client, sales and service
Speakers separated, a timestamp on every line, and the recording running alongside the text. A twenty minute call is readable in two, and a phrase you search for lands on the second it was said.
Volumes by channel, sentiment over time, objections that keep coming back, agents who are drifting. The view a manager can act on in five minutes on Monday morning.
Commitments picked out of conversations land on a board with an owner, a priority and a date. Not a separate to do app, the same record the conversation came from.
Two teams, one record
The conversation that sold the car is the conversation the service desk needs six months later. One record, two teams, no forwarding of audio files.
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Reps, sales managers, heads of revenue
Not the one the team talks about. The one that appears in the calls that never close.
Discounts, delivery dates, extras. Said on the call, visible before it becomes a problem.
The CRM says the deal is warm. The last call says the customer went quiet after the price.
A library of the ones that worked, with the exact moment the objection turned.
Advisors, team leads, quality
All of them are transcribed and searchable, so coaching is based on the month, not on six calls.
Repeats get grouped, so a process problem stops looking like six separate angry customers.
The advisor said Friday. The system said next week. The recording settles it in ten seconds.
Open the flagged minute, not the whole call. Feedback the same day it happened.
The same week
You pay for each of these channels separately and each one behaves differently when the floor is busy. Vera covers four of them. The fifth stays human on purpose.
Start a Free Trial| What happens | Today | With Conversational Intelligence |
|---|---|---|
| A rep promises delivery by Friday | Lives in the rep’s head until the customer calls angry | Picked out of the call, on the board with a date, same minute |
| A customer names a competitor | Mentioned in passing, never reaches the manager | Tagged, counted, and in the weekly pattern report |
| The same complaint for the third time | Three separate tickets, three separate apologies | Grouped as one issue with three calls attached |
| Monday pipeline review | Everyone reports from memory, optimistically | Deals ranked by what was actually said last week |
| Monthly quality review | Six calls per agent, listened to by hand, two days of work | All calls readable, the review is about what to do next |
| A new advisor starts | Shadows a colleague for two weeks and hopes | Learns from the calls that worked, with the moments marked |
Vera sits in the same screen, answers only from your conversations, and then writes the email, opens the task or updates the CRM. She asks a question or two before she writes, so the draft comes back in your tone, not in hers.
Vera makes CI faster. Ask her anything about your conversations, tell her what should happen after a call and she runs it. She also works on her own, across the rest of your business.
Discover VeraInside the product
Most conversation platforms rent their transcription and their reasoning from someone else, which means your recordings travel further than your legal team would like. Ours do not. Moonlight and Trurl are our own models, and they run where you tell them to run.
Start a Free TrialMoonlight is trained on real call audio, not on clean studio speech. Accents, crosstalk, phone line quality, two languages in one sentence, product names and serial numbers.
EU hosting as standard, on premise where the security review demands it. No third party sub processor sitting between your customers and your recordings.
Independently audited controls, on top of the permissions you already run. An agent sees their own calls, a team lead sees the team, and every access is logged.
Questions we get
If yours is not here, ask it in the demo. We would rather answer it before the contract than after.
View all FAQsNo. We take recordings from what you already run, through the integrations above or a SIP recording feed. Nothing changes for the person picking up the phone.
We validate this with representative recordings before rollout. VoiceLab's speech models can be tuned to the languages, product names and terminology your team uses, and the demo or pilot confirms the result on audio from your actual channels.
The rollout should make the purpose and review rules clear. Conversational Intelligence surfaces specific, observable moments and recurring patterns; it does not create a hidden employee ranking. Managers decide how those findings are used in quality reviews and coaching.
Your data is hosted on servers located within the European Union. Dedicated instances restrict access exclusively to your organisation, and the setup is fully GDPR compliant. For regulated sectors, on-premises deployment is also available.
No. Conversational Intelligence already provides searchable transcripts, summaries, recurring patterns, alerts and recorded commitments. Vera adds a conversational layer and can turn those findings into drafts and actions.
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