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Intempt

Turn every demo call into structured data three teams can use

A demo call generates product feedback, sales coaching material, and deal-progression signal, but only if someone actually extracts it. This customizes the AI summary to pull features shown, questions asked, objections raised, and technical concerns flagged, feeding all three uses at once.

Salesmeeting-notetakerB2BSaaSStandard3 steps3 outputs
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Meeting Type Meeting Summary Dashboard
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What it does

Customizes how the AI summarizes demo calls to extract features shown, questions asked, objections raised, technical concerns, and the proposed follow-up, feeding product feedback, sales coaching, and deal-stage progression in parallel.

You get

a structured demo-call summary template

How it works

1

Confirm Demo Meeting Type

get_meeting_type

Retrieve the Demo meeting type from the meeting taxonomy. Confirm it exists with notetaker autojoin enabled. If absent, halt and direct the user to /meeting-types-taxonomy.

Produces:Meeting Type
2

Set Demo Summary Recipe

set_meeting_summary_recipe

Configure the AI summary recipe for the Demo meeting type. Extract structured fields: (1) Features Demoed — list of product features shown, with engagement signal per feature (attendee asked questions / silent / pushed back); (2) Questions Asked — list of attendee questions with category (capability, integration, pricing, security, onboarding, other); (3) Objections — list of objections raised verbatim, with category (price/timing/competition/feature-gap/authority/trust) and resolution status (handled/parked/unresolved); (4) Technical Concerns — specific technical questions or blockers (integrations needed, data residency, SSO, compliance); (5) Decision-Maker Signal — was a decision-maker on the call, were they engaged; (6) Follow-up Requested — what attendee asked for (case study, trial, technical demo, custom proposal, references); (7) Next Step — what was agreed. Use 'not_discussed' for missing fields rather than guessing.

Produces:Meeting Summary
3

Build Demo Insights Dashboard

Build Dashboard

Compose a demo insights dashboard reading from structured summaries: top 10 features by demo frequency (which features sell themselves vs. need more pitch); top 10 objections by frequency (objection-handling content priorities); decision-maker attendance rate (low % = multi-threading problem); follow-up-requested distribution (what does the market actually want); and most-asked technical concern categories (product / engineering input). Group by rep and time period.

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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