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Intempt

Know which calls need a manager's attention without listening to all of them

Managers can't review every call, so the risky ones slip through until the deal is already in trouble. This extracts objections, talk-listen ratio, and sentiment automatically and flags the at-risk calls directly. Try the standalone version with the AI Meeting Prep Generator or read how Blu's Sell agents actually work.

Salesmeeting-notetakerB2BSaaSAdvanced4 steps4 outputs
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Attribute Content Asset Workflow Dashboard
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What it does

When a call recording becomes available, runs AI extraction for objections, talk-listen ratio, sentiment, and next-step signals, logs the results to the linked deal, and alerts managers on at-risk calls.

You get

per-call intelligence logged to the deal

with manager alerts on risk

How it works

1

Read every call transcript

create_ai_attribute

From the transcript once the recording lands: who talked and for how long, every objection with its quote, timestamp and category of price, timing, competition, a missing feature, authority or trust, how sentiment moved through the call, the buying signals with quotes, how many discovery questions were asked, and an at risk score combining all of it.

Produces:Attribute
2

Write the manager alert

create_slack_content

For calls over the at risk threshold: the rep, the account, the deal value and stage, the three worst objections with the quotes, the talk ratio flagged if the rep spoke for more than 65%, and a link that jumps to the right point in the transcript. Written to coach, not to punish.

Produces:Content Asset
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File it and flag the bad ones

Create Workflow

When a recording becomes available it computes the insights, writes them onto the meeting and links them to the deal, posts the manager alert and raises a 24 hour review task once the at risk score reaches 70, and creates a high priority follow up task when the buying signals are strong and nothing is scheduled.

Produces:Workflow
4

Coach from the patterns

Build Dashboard

Talk ratio per rep over 30 days, flagging anyone outside 40 to 55%, the five most common objections across the team and per rep, discovery question counts with anyone under five per call flagged, at risk calls by rep and week, and the calls with the densest buying signals as listen back examples.

Produces:Dashboard

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In the words of50+ live tenants.

Jim Stromberg, CEO at StockInvest

We were losing visitors before they signed up. Intempt's personalized experiences changed that - we started meeting people where they were instead of guessing. Once they're in, Intempt's automated email takes over and keeps the relationship moving. Acquisition and retention finally feel like one connected motion instead of two separate problems.

Jim Stromberg

CEO, StockInvest

Eric Gardner, COO at FieldsUSA

Intempt helped us turn real browsing and purchase signals into personalized experiences that drive repeat buying. We finally have one system that sees the whole customer journey.

Eric Gardner

COO, FieldsUSA

Tadas Kertenis, Co-founder at Hoperfy

With Intempt, we built a signal-led pipeline driven by real behaviors. Follow-ups are triggered by intent signals instead of timelines, so we only focus on users who are truly engaging.

Tadas Kertenis

Co-founder, Hoperfy

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