Taizen

Taizen documentation

AI agents that run your deal admin, coach your reps, and interview the buyers you lost.

Taizen deploys AI agents into your revenue org. They trigger on things that happen — a call ends, a deal is marked lost, a competitor changes their pricing page — hold your CRM records and call history as context, and deliver the result into Slack, your CRM, or a rep's inbox.

Nobody has to open a chat window for the work to get done.

The three products

All three feed the same place. A buyer interview becomes a battlecard update, a roleplay drill built from that buyer's real objections, and a coaching note for the rep who lost the deal.

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How the pieces fit

Everything in Taizen reads from the same layer: your calls, your CRM records, your documents, and your interviews. That is what makes an agent's output specific to your deals rather than generic.

  1. Connect your sources. A call source (Gong, Fireflies, Genesys Cloud) and a CRM (Salesforce, HubSpot). Calls arrive with transcripts; deals arrive with fields and stages.
  2. Agents act on them. After a call ends, on a schedule, or when something changes upstream.
  3. Scoring turns calls into numbers. One rubric across practice roleplays and real calls, with every rating citing the moment in the transcript it came from.
  4. Training closes the loop. Plans escalate from a friendly buyer to a hostile one, with a passing score required before the next stage unlocks.

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