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Intempt

Let AI move fast without losing human judgment on the big calls

AI-suggested actions are only safe to automate up to a point. This pauses the high-stakes ones - an email to a high-ARR account, a mass update, a large segment send - for a one-tap Slack approval before anything fires.

Salesworkflow-builderB2BSaaSAdvanced9 steps2 outputs
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Workflow Step
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What it does

Routes high-value AI-suggested actions (auto-email to high-ARR accounts, mass account updates, large segment sends, AI-classified routing decisions) to a Slack-based approval step before execution.

You get

a human-in-the-loop approval queue for high-stakes AI actions

How it works

1

Gate the risky AI actions

Create Workflow

Sits in front of the high stakes actions an AI workflow wants to take. You set what needs approval: an ARR cutoff, a segment size, the kind of action, or how confident the AI was.

Produces:Workflow
2

Let other workflows queue one

configure_webhook_step

A webhook other workflows call to submit an action. It carries the kind of action, a one line summary, the full payload, which workflow asked, and why this one needs approval.

Produces:Step
3

Send it to the right approver

configure_workflow_multi_split_step

Emails go to marketing, record updates to RevOps, lead routing to a sales manager, and other decisions by type. The wrong approver is what turns this into a bottleneck.

Produces:Step
4

Ask in Slack

configure_slack_step

An interactive message in the approver's channel with the summary, the workflow that asked, why it needs approval, a preview such as the subject line and first 200 characters, and approve or reject buttons.

Produces:Step
5

Wait for an answer

configure_workflow_wait_until_step

Execution pauses until someone responds, four hours by default. Shorten it for a big send, stretch it for routine updates. Silence counts as a rejection and posts a notice.

Produces:Step
6

Act on the decision

configure_workflow_branch_step

Approved runs the action. Rejected archives it with the reason, tells the originating workflow to stop, and posts the reasoning to the governance channel. A timeout behaves like a rejection and is logged as one.

Produces:Step
7

Tell the workflow to proceed

configure_webhook_step

A webhook back to the workflow that asked, carrying the approver, the timestamp and any comment, all written to the audit trail so every AI action is traceable.

Produces:Step
8

Log what humans reject

configure_update_attribute_step

Every rejection and its reason goes into a structured log, which over time shows which AI behaviours need tighter prompts or guardrails.

Produces:Step
9

Publish and watch the queue

publish_workflow

Validated and published, with approvals per week, the approval rate against an 80% target, the median time to a decision inside business hours against 30 minutes, and the timeout rate, which points at the wrong approver or a dead channel.

Produces:Workflow

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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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