AI Sales Copilot vs Conversation Intelligence: Buyer's Guide

In short

Four categories get lumped together as "AI for sales calls": conversation intelligence, AI notetakers, coaching and enablement platforms, and real-time copilots. They act at different times and fix different problems.
Start from the problem, not the category: managers cannot see calls, reps lose evenings to notes, new hires ramp slowly, or reps freeze at the moment that matters.
Ask every vendor the same questions: when it acts, how fast it really is, what it detects, who approves CRM writes, and what data it keeps.
Test on your own calls before you commit. A claim about your pipeline should be checked against your pipeline.

Two years ago "AI for sales calls" mostly meant call recording with a transcript. Today it covers at least four different kinds of product, sold under overlapping names, and a buyer comparing demos can easily end up comparing things that are not alternatives to each other. This guide separates them, matches each to the problem it actually solves, and gives you a list of questions to put to any vendor, including us.

The four categories

Category	When it acts	Typical output	Best at	Cannot do
Conversation intelligence	After the call	Recordings, transcripts, deal and rep analytics	Giving managers visibility and a searchable library of calls	Help a rep during the call
AI meeting notetaker	During and after	Summaries and action items, often through a bot that joins the meeting	Saving time on notes	Coach, qualify or suggest what to say
Coaching and enablement platform	Between calls	Training content, scorecards, playbook libraries	Onboarding and skill programmes	Intervene in a live conversation
Real-time AI copilot	During the call	One suggestion at a time, then a post-call report	Objection handling and qualification at the moment they happen	Replace review, training or analytics at team scale

Many notetakers join as a visible participant; some capture audio locally. Conversation-intelligence products vary in how they capture a call too, so ask rather than assume.

Which problem do you have?

"Managers cannot see what is happening on calls." That is a visibility problem. Conversation intelligence is built for it.
"Reps spend their evenings writing notes." A notetaker, or any tool that drafts a summary and next steps for the rep, helps here.
"New hires take too long to ramp." That is an enablement problem: content, practice and scorecards.
"Reps freeze on objections or forget to qualify." Nothing that arrives after the call can help with this, because the failure happens during it. This is the problem a real-time copilot exists for.

Most teams have more than one of these. The common mistake is buying the category that fits an existing budget line rather than the problem that is costing deals. Why timing is the whole difference.

Twelve questions to ask any vendor

When does it act: during the call, or after it?
If it says "real time", what is the measured latency, on what data, at the median and the 95th percentile? (We publish ours: p50 84ms and p95 800ms against a 1.3-second budget.)
Does it join the call as a participant? What does the prospect see?
What does it actually detect? Ask for the complete list, not a demonstration of three examples.
Where do suggestions come from: a generic model, or your own playbooks, objections and proof?
Who approves what is written to your CRM? Can anything be written without a human pressing a button?
What is retained? Raw audio, transcripts, for how long, and can you delete and export it yourself?
Is your data used to train models, the vendor's or anyone else's?
Does it analyse video, or build personality profiles of your prospects? Do you want it to?
Which CRMs does it really support: reading contacts, logging a call, moving a stage? Ask per CRM; the answers differ.
Can you test it on your own calls before paying, and what does the test cost?
What does it refuse to do? A vendor that cannot name its limits has probably not tested them.

Our answers are public. Latency and detection are in the engineering account, data handling is on Security and Privacy, and the trial is explained on Pricing. Short version: no bot, no video, no raw audio retained, nothing written to a CRM without a person pressing the button, and no use of your conversations to train models.

Where Crack Sales fits, and where it does not

Crack Sales is a live copilot with a post-call report and human-approved CRM logging. A native desktop app reads system audio on the rep's machine, shows one suggestion at a time grounded in your Sales Brain, and afterwards drafts a summary, next steps and qualification data for a person to approve.

It is not a company-wide library of recorded calls for managers to search at scale, and it is not a training platform. If that is your main need, start with conversation intelligence or enablement software, and consider a copilot as an addition. Because Crack Sales adds no participant to the meeting, it does not change the call itself.

When you do not need a copilot

Be honest about this one. If you sell a simple, low-value product in short, repetitive calls, or your reps are already strong and rarely face new objections, a live suggestion may be more distraction than help. A solo seller with a handful of calls a week often gets more from a good notetaker. A copilot earns its place where the words in a live conversation decide the outcome and reps face a varied set of objections and competitors.

What to check beyond the feature list

Adoption. Reps will ignore a tool that talks too much. Ask how many suggestions a typical call produces and whether a rep can read one while the buyer is still speaking. Crack Sales shows one line at a time and replaces it in place for exactly that reason.
Setup effort. A copilot is only as good as what it knows about your company. Ask who builds the playbooks and objections it speaks from, how long that takes, and who keeps it current. Ours is built with you on a call, and rewritten weekly from the questions your reps could not answer.
Data and exit. Ask what happens to your data if you stop: can you export it, can you delete it, and is anything kept afterwards?
Failure behaviour. Ask what the tool does when it is unsure. Staying quiet is a feature. A confident wrong suggestion in a live negotiation is worse than no suggestion.

A sensible shape for a trial

Whichever product you test, structure the trial so it can fail. A shape that works for most teams over about three weeks:

Week one: set up and calibrate. Load your real playbooks, objections and proof. Run a few calls and check that what the tool says is something your best rep would stand behind.
Week two: run it on live pipeline, with the reps who will actually use it, and keep notes on the moments it helped and the moments it was wrong or noisy.
Week three: review against the numbers you picked in advance, from the call records, and decide.

Crack Sales' free 21-day trial is long enough to run something like that, on your own calls. It starts after a 15-minute intro call where we build the Sales Brain with you. The details are on the pricing page.

How to evaluate one properly

Run it on real calls, not a scripted demonstration. Decide before you start what you will look at, and keep it to things you can both see in the call records: must-answer coverage, objections handled versus dropped, talk ratio and question rate. Be wary of any vendor who promises an attributable lift in win rate: a tool cannot run a counterfactual on a deal that has already closed. We deliberately do not claim it, and we review progress against those metrics instead.

If you would like to run that test, Book a demo for a 15-minute intro call. A free 21-day trial on your own calls starts after it.

Frequently asked questions

What is an AI sales copilot?

A tool that listens to a live sales conversation and suggests what to say or ask while the call is still happening, usually one prompt at a time. It differs from conversation intelligence, which analyses calls afterwards. Crack Sales is a real-time copilot: a desktop app reads system audio, shows one suggestion at a time, and afterwards drafts a summary for a person to approve.

Is a sales copilot the same as conversation intelligence?

No. Conversation intelligence records, transcribes and analyses calls after they end, mainly for managers. A copilot acts during the call, for the rep. They solve different problems, and some teams use both.

Do AI sales copilots join the meeting as a bot?

Some do and some do not. Crack Sales does not: it runs as a native desktop app that captures system audio on the rep's own machine, so nothing joins the meeting and call quality is untouched. That does not remove the rep's responsibility to tell participants the call is being transcribed; see our guide to consent.

Try it on your own calls

A free 21-day trial on your own sales calls starts after a 15-minute intro call. Book a demo or read how the trial works.

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