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Radlabs
A sales team at work in a bright open-plan office
AI Sales Call Analysis

Every call, coached like your best closer.

You already pay for the leads. This is the layer that stops good ones being lost on the phone — every call scored, explained, and ready to coach by the next morning.

The problem

Good leads were being lost on the phone.

Every enquiry is paid for before the phone rings. Ads, listings, referrals, hours spent chasing a reply. Then good leads die on the call. A rushed opening. A question never asked. An objection answered badly.

A serious buyer goes quiet and nobody can say why. Almost no calls are ever listened to, so nobody sees it happen. Each customer costs more to win. Money wasted before the call. Hours wasted after it.

1–3%
of calls a manual review process typically samples
Industry research on sales QA coverage
~97%
of customer conversations are never inspected at all
Industry research on sales QA coverage
8–10
calls one reviewer can realistically get through in a day
Typical manual review capacity

Coverage and capacity figures are current industry benchmarks for sales quality assurance, not a client-measured result.

Industry benchmarks

What teams report when coaching gets specific.

A rep told to build more rapport changes nothing. A rep shown the exact moment a customer went quiet changes the next call. Published benchmarks put a range on what that is worth.

25–40%
Improvement in call conversion where AI-driven coaching is used
Published industry benchmark, not a client-measured result
~29%
Lift in win rate from better coaching on discovery and qualifying
Published industry benchmark, not a client-measured result
5–15%
Lift in win rate from software that analyses sales conversations
Published industry benchmark, not a client-measured result
30–50%
Improvement in overall sales performance when these are combined
Published benchmark for overall performance, not conversion

What it is worth on your calls is a question only your calls can answer.

How it works

From a recorded call to a coaching note, by the next morning.

Nobody presses a button, and nobody picks which calls to check. Your reps make calls exactly as they do today. Every call is picked up, scored and written up on its own. The score, the evidence and the one thing to fix are waiting when the team comes in.

A scored sales call showing the total score and a per-category scorecard with the quote behind each mark

The scorecard. Every call scored across all parts, with the quote behind each mark.

01

It writes down every call, word for word

The transcript follows the conversation in the language it actually happened in. Everything else is built on that, so the coaching comes from the real call and not a rough English version of it.

02

It listens to the voice, not only the words

Tone, hesitation, urgency and frustration are read from the audio. You see the moment a customer went quiet, even when their words said everything was fine.

03

It marks every call in five parts

Opening, discovery, pitch, objection handling and close, each scored on its own. So you can tell whether deals are lost at the first question or the last one.

04

Every mark points to a timestamp

No score is given without a reason and the exact second it came from. A manager plays the clip instead of arguing about who remembers what.

05

It ends with one change, not a list of faults

Each call produces the single highest-impact fix, and the words to use instead. A rep can act on one line before the next call. Twenty criticisms change nothing.

The one change to make next time — kaizen applied to a single sales call

The one thing to change

The single change worth making next time, and the exact words to use.

A team leaderboard ranking sales reps by average score, with call counts and coaching status

Where the team stands

Every rep ranked on every call they made, so coaching goes where it is needed.

A call review showing the transcript, extra coaching tips and a checklist of commitments the rep never asked for

What was missed

The full transcript, the extra tips, and the commitments the rep never asked for.

Fewer good leads lost

The mistakes that kill a serious enquiry get found and fixed, instead of repeating unheard.

Senior time back

Reviewing stops being something a person has to ration. Managers coach instead of listening.

One standard for everyone

The whole team is coached against the same bar, not against different managers' memories.

Why this one fits

Nine things that make it work on an Indian sales floor.

Most call-analysis tools expect one language, spoken cleanly, reviewed by someone with hours to spare. Your sales floor works nothing like that.

Every call reviewed, not a sample

+

Every call is scored and explained, not the handful someone found time to hear.

Scored on selling, not on English

+

An accent or an imperfect sentence costs no marks, because reps are scored on how well they sold.

A fraction of the cost of manual review

+

Published benchmarks put manual review at roughly ₹40–60 a call, against ₹1–3 for AI scoring.

Every language your team sells in

+

Hindi, English, Odia and more, including the calls that switch language halfway through a sentence.

One view of the whole team

+

One screen shows every rep and where deals slip, at discovery, pitch or close, while the month is live.

Know who is really performing

+

Rankings built from every call, so incentives and promotions rest on evidence, not on who talks loudest.

Every rep gets their own playbook

+

Each rep opens their own scores, hears the moments behind them, and improves. No waiting for a manager.

It gets sharper the more you use it

+

It learns from every call scored and every correction your managers make, holding your standard, not a generic one.

Each manager sees their own team

+

Access follows your reporting lines: team leads see their team, heads see their region, you see everything.

The principle behind it

Kaizen for sales calls: every rep, one improvement at a time

Kaizen (改善) is Japanese for change for the better — kai, change; zen, good. English calls it continuous improvement: everyone takes part, from the boss to the newest hire, and the steps stay small and constant.

It is not old wisdom but modern management, built in post-war Japanese factories and carried worldwide by Masaaki Imai, who defined improvement as “involving everybody”. Working that way needs evidence, and that is what this platform gives you.

1234改善KAIZEN
1

Plan — the standard

The five parts every call is marked against: opening, discovery, pitch, objection handling and close.

2

Do — the rep makes the call

Nothing changes about how your team works. They sell exactly as they do today.

3

Check — scored against the bar

Every call, not a sample. Each mark cites the exact second it came from.

4

Act — one change, then round again

One change to make on the very next call. The next score is the check on whether it worked.

Score, one change, next call, scored again — plan, do, check, act, once per call instead of once per quarter.

It involves everyone

Improvement belongs to everyone, so the same evidence on every call is open to three sets of eyes.

The rep
Every rep opens their own scores without waiting for a manager, hears the moment behind each one, and leaves with one fix.
The manager
Managers coach from evidence rather than memory and can overrule any score; those corrections go back in and train the standard.
Leadership
Leadership sees every team and every rep, with access following your reporting lines so each person sees their own part.
Evidence flows upStandards flow down
Rep, manager, leadership — the same evidence seen three ways, because improvement only management does is not improvement.

See it on one of your own calls.

Bring one recorded call. We run it through the platform while you watch, and show you what it heard: the score, the reason for it, and the moment in the call that reason points to. Hindi, English, Odia, or all three in one conversation.

No preparation and no slide deck. Thirty minutes, your call, and an honest look at where the scoring holds up and where it does not.