ai tagging

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Incoming replies get read by AI and tagged into categories you've defined yourself — each with its own name, description, color, and a positive-or-negative flag. Configure the AI agent with your company's domain, a tone, and custom instructions, and those tags then feed directly into CRM boards and can trigger Slack alerts.

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Marcus Chen
marcus@notion.comSaaS VP Outreach
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You<alex@yourcompany.com>
Yesterday, 9:14 AM
Hi Marcus, noticed Notion is pushing harder on outbound lately. We built Sendbox around the deliverability problem specifically — every account gets its own IP, real warmup, and zero shared reputation with other senders. Worth a quick look?
MC
Marcus Chen<marcus@notion.com>
2m ago
This looks really interesting, can we hop on a quick call this week?
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ai features

AI sorts the inbox before you even open it

Custom tags

Define tags with a name, description, color, and positive/negative flag, classifying replies into categories that actually matter to your business.

Configurable AI agents

Set your company domain, tone, and custom instructions, and the agent classifies replies using that context.

CRM tag boards

Tags automatically generate boards in the CRM, sorting leads by AI classification without manual work.

Slack notifications on positive tags

Positive tags trigger a Slack alert, so closers hear about interested leads the moment they come in.

automation

Skip manually sorting every reply

Set up your tags

Create tags with a name, description, color, and isPositive flag — think "Interested" (positive), "Not Now" (negative), "Out of Office" (negative).

Configure the agent

Set your company domain, pick a tone — professional, casual, or friendly — and add any custom instructions. The agent factors this in when it classifies replies.

Tags trigger what happens next

Tagged replies show up on their matching AI tag board in the CRM, positive tags can trigger a Slack alert, and the pipeline organizes itself.

Surfacing interested leads first

Positive replies get tagged automatically, land on the CRM's AI tag boards, and trigger a Slack notification so closers can act right away.

Classifying replies your way

Define tags that match how your team actually thinks about replies — "Budget Question," "Referral," "Competitor Mention," whatever fits.

Cutting out manual sorting

Stop reading every single reply to figure out what it means — AI classifies as they arrive, and you review the edge cases.

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specialized ai

Built around cold email, not generic text classification

Custom tags backed by AI agents you configure yourself

Most tools stop at basic positive/negative labels. Sendbox lets you define custom tags with your own descriptions and colors, then configure AI agents with your company's context, tone, and instructions — with tags feeding straight into CRM boards and Slack notifications.

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Tags that actually move your pipeline

Tags aren't just labels — each one you create carries a name, description, color, and a positive/negative flag. Positive tags trigger Slack alerts, and every tag generates its own board in the CRM where leads sort themselves by classification.

AI agents that know your business

Configure the agent with your company domain, a tone (professional, casual, or friendly), and custom instructions. That context shapes how it reads and classifies incoming replies, keeping tags relevant to your specific business.

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Yes — create tags with a name, description, color, and positive/negative flag, like "Interested" (positive), "Objection" (negative), or "Referral" (positive). The AI agent uses these definitions when it classifies replies.

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