Agents for revenue teams.

Claude and ChatGPT wait for you to ask. Taizen doesn't. Our agents trigger on events: a call ends, a deal is marked lost, a competitor changes their pricing page. They already hold your CRM records, call history, and past buyer interviews as context, and they deliver the result into Slack, your CRM, or a rep's inbox without anyone opening a chat window. We run on frontier models, including Claude, so the reasoning quality is the same. What we add is the trigger, the context, the workflow, and the delivery.

You can prompt ChatGPT to write a battlecard. You can't prompt it to notice a competitor moved on Tuesday, rewrite the objection section, and have four reps drilled on it by Friday. And if you're wondering whether you could assemble this yourself with a few MCP connectors: some of it, yes. What you'd be building is the part that isn't the model, which is scheduling, approval gates, a voice stack that handles interruptions, consistent scoring with evidence, and an audit trail.

A concrete example. CRM Agent runs whenever a deal moves, after a call, a meeting or an email thread: it writes the deal fields, logs next steps, updates the close date with the reason from the conversation, and flags anything that contradicts what the rep said last week. Meeting Prep runs at 7:00 on weekdays, scans the calendar for external meetings, pulls email and call history plus company research, and delivers a brief. Each agent has a trigger, a set of steps and a destination.

You can build your own by describing what you want in plain language, or start from a template. Templates are organized by team, so Sales, Enablement, RevOps, PMM, and Competitive Intelligence each have a set built for their own work.

Only if you want it to. Every agent output can route through an approval queue before it goes anywhere, and you decide which agents run unattended and which need a person. Most teams start with everything gated and open up the low-risk ones once they trust the output. Every run is logged with its inputs, steps, and output, so when an agent gets something wrong you can see what it saw and why.

Gong records what was said and Clari forecasts what might close. Taizen acts on it: writes the CRM fields, books the interview, updates the battlecard and drills the rep. Most teams keep Gong and pipe the call data straight into Taizen.

No. It runs the operational work: interviews, transcripts, battlecard maintenance, CRM hygiene, and coaching prep. Your PMM and RevOps leads keep the parts that need judgment, which is positioning, narrative, and deciding what to do about a competitor. In practice the strategic part of the role gets more room, not less.

SOC 2 Type II and ISO 27001 certified. Your data stays in your own region and isn't used to train models. All data is encrypted in transit and at rest; you can delete any interview at any time, and deletions cascade to all derived artifacts: battlecards, roleplays, and coaching notes.

Dozens of tools across call recording, CRM, sales engagement and workspace apps, plus any MCP server. For anything else, the integration builder agent connects any data source you describe. Connections use OAuth and take a few minutes, and most teams have their first agent live the same day.

An AI judge scores against a rubric you control, and every rating has to cite the exact moment in the transcript it came from, so you can check its reasoning rather than take a number on faith. It's built to be strict: sessions fail, and a failing score with evidence is more useful to a manager than a generous one. Eight frameworks ship in the box, including MEDDPICC, Challenger, and SPIN, and you can describe your own.

Both, on the same rubric. That's the point. Practice scores and real-call scores sit side by side, so you can see whether the drilling changed how the rep actually sells rather than just how they perform in a mock.

Training plans, rather than an open library nobody opens. A plan is a sequence of scenarios escalating from a friendly buyer to a hostile one, with a passing score required at each stage before the next unlocks, and a certification step at the end. Managers see who has passed what, so it becomes part of ramp rather than an optional tool.

The agent reaches out by email or LinkedIn in your tone, books a short call, and runs the interview by voice, asking follow-ups and probing past the first answer for the real reason rather than the polite one. Buyers are often more candid with it than with the salesperson who just lost the deal, because there's nothing to manage. It says it's an AI in its first sentence, every time. Some buyers prefer to answer in writing and the agent handles that instead, and if someone wants a human, your team can take over at any point.

Yes, and this is the part most teams don't expect to matter. Taizen interviews the rep who lost the deal alongside the buyer, then puts the two accounts next to each other. The gap between what your rep believes lost the deal and what the buyer says lost it is usually the most useful output of the whole program, and it's something a CRM loss-reason dropdown can never surface. We interview won deals too, which tells you which part of the pitch actually landed.

Yes. Alongside the buyer and your own rep, Taizen interviews sellers who used to carry a competitor's product: how they were trained to position against you, which objections they were told to expect, where they were coached to say you were weak, and what made their deals slip. It's the same voice interview, and it lands in the same places, which is the battlecard, a roleplay drill, and the competitive brief. We ask only about their own experience of selling and positioning, and we don't ask anyone for confidential material from a former employer.

Traditional programs run quarterly, cost a project fee, and end with a slide deck. Taizen runs continuously and ends with something a rep can use: a refreshed battlecard, a roleplay drill built from that buyer's actual objections, and a coaching note for the person who lost the deal.

Klue and Crayon are a different thing again. They watch competitors from the outside, meaning their website, pricing, and reviews. We start inside your own deals, with what the buyer who chose them actually told us. Competitor monitoring tells you what changed. A buyer interview tells you why it cost you the deal.

It runs on a schedule against a watchlist of your named competitors. It reads your recorded calls for every time a competitor comes up, and it tracks the public surface that moves deals: pricing and packaging pages, website and messaging changes, news, LinkedIn, and job postings. Every run diffs against the last one, so what lands is what changed since you last looked rather than a re-listing of everything. Hiring gets called out as its own signal, because a cluster of GTM roles or a new location tells you where a competitor is investing before they announce it.

Three places, and two of them most tools don't have. The first is your own calls: every time a competitor comes up on a recorded call, who raised it, what they compared and which objection followed. The second is what people told us directly: buyers who evaluated you and chose someone else, your own reps who lost those deals, and sellers who used to carry the competitor's product. The third is monitoring competitors from the outside, the same public surface everyone can see. Public monitoring tells you what a competitor changed. Calls and interviews tell you why it cost you a deal, which objection actually landed, and what their reps are coached to say about you.