Kai, the Introzy AI

What is an AI PRM?

An AI PRM is partner relationship management where an AI agent does the admin. It captures referrals from the channels they actually arrive in, watches the pipeline for deals going quiet, drafts the follow-ups, and keeps attribution and commission math honest. The human stays in charge: the agent brings recommendations with reasoning attached, and nothing customer-facing happens without approval. In Introzy, that agent is Kai.

AI-native, not AI-flavored

Most partner software added AI the easy way: a chatbot in the corner, a summarize button on the record. You still log in, still find the work, still do the work. The software waits for you.

An AI-native PRM inverts the relationship. The agent watches the referral pipeline continuously and brings the work to you: this deal stalled, this intro is unassigned, this commission is calculated on money you have not collected yet. Your job shifts from doing the admin to approving the judgment calls.

What an AI partner manager does all day

Captures referrals where they arrive

Forward an email, mention @Kai in Slack, or use the mobile app. Kai reads the thread, matches or creates the records, and the introduction is tracked before anyone opens a form.

Watches the pipeline so you do not have to

Stalled deals, intros sitting unassigned, meetings with no notes logged, contacts in threads that never made it into the system. Kai finds them and queues the fix.

Drafts the follow-up in your voice

Kai writes the nudge from your connected inbox context and holds it for approval. You read, edit if you want, and send. The partner hears from you, not from a bot.

Keeps attribution honest

Missing introducers on deals, commissions calculated on booked revenue when only part has been collected. Kai flags the discrepancy with the numbers attached.

The trust model: recommend, approve, log

Partner relationships run on trust, so an agent touching them has to earn it. Kai is built around a simple contract: it recommends with its reasoning shown, you approve anything a partner or customer would see, and everything it does is logged. Autonomy is something you extend one automation at a time, not a default you hope goes well.

Every recommendation carries a confidence score computed from signal density (email volume, activity recency, stage age), plus the reasoning and evidence behind it
Kai reads only the channels you connect, and every workspace’s data stays isolated to that workspace
Customer-facing actions wait for your approval, always
Automations you enable run on their own, with full logging
Dismiss anything; Kai gets out of the way

The AI-native stack: AI CRM for customers, AI PRM for partners

The same shift is happening one layer down. AI-native CRMs like Zero use agents to keep customer records current, so nobody logs in to do data entry. We run our own go-to-market on Zero, and the pairing is the point: agents maintain the customer system of record, Kai maintains the partner side, and sync keeps the two honest. Neither system waits for a human to type.

See the Zero integration · CRM vs PRM, explained

See Kai up close

Deal intelligence

How Kai reads your pipeline, scores what matters, and recommends the next move.

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Intake anywhere

Referral capture from email, Slack, and mobile, without a form in sight.

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Automation

The actions Kai can take, the approval model, and the log that keeps receipts.

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Questions

Common questions

Partner relationship management software where an AI agent does the administrative work: capturing referrals from email and Slack, spotting stalled deals, drafting follow-ups, and flagging commission discrepancies. The human stays in charge; the agent brings recommendations with reasoning, and nothing customer-facing happens without approval.

Meet the agent your referral program has been missing

Kai is included with Introzy. Track introductions, let the agent chase the admin, and approve the judgment calls.