Kai studies the company and the person, writes outreach grounded in what it actually learned, then runs the sequence through your inboxes. You stay in control of conversations and decisions.
Kai sits between your contact list and your inboxes. Every contact gets the same treatment a careful rep would give them, just at the pace and volume software can sustain.
For each new contact, Kai crawls the company website, scans recent news, and reads the person's LinkedIn. Claude distills a one paragraph brief on each so the outreach has something specific to lean on.
Kai drafts the full sequence: three emails, a LinkedIn opener, a LinkedIn follow up, and a call brief for the rep. Every message references something Kai actually learned about the prospect.
Kai injects the sequence into Lemlist, where it runs across warmed up rep inboxes. Replies route automatically: positive leads land in your CRM with full context, off topic replies pause the sequence, hard nos suppress.
Different outreach motions need different shapes. Kai runs three of them, side by side, sharing the same research, writing, and reply logic underneath.
Time-boxed campaigns from a list you bring.
You upload a CSV, paste contacts manually, or pull an existing Lemlist campaign in by ID. Kai picks them up, researches each one, writes the sequence, and runs it. Finite. Has a start and an end.
Account based outreach with waves and learning.
Point Kai at a single target account. Kai pulls the company info, writes a brief, discovers the buying committee through Lemlist's database, scores candidates against your persona focus, and runs outreach in waves. Each wave learns from the one before it.
Always on sourcing that paces itself.
Give Kai a vertical and an ICP brief. Kai sources new contacts continuously in the background, scores them against your persona focus, and queues survivors for your review. Never stops. Never floods the queue.
The boring research, the tailored writing, the patient sequencing. The parts of BDR work that take real time but reward repetition.
Every contact gets a fresh research pass before the first email. Company snapshot, news mentions, and a persona read. Cached at the account level so it scales.
Three emails, two LinkedIn messages, and a call brief per contact. Each message opens with a specific observation, not a templated hook.
Point Kai at a target account, like a company you would love to land. Kai discovers the buying committee, runs the outreach in waves, and learns from engagement at the account level.
Every reply gets read and sorted. Interested leads route to your CRM with the full research brief attached. Out of office reschedules. Hard nos suppress for twelve months.
Every Monday Kai pulls the prior week, compares variants, and proposes adjustments to ICP, opening hooks, or sequence pacing. You approve the ones that make sense.
Give Kai a vertical and an ICP brief, and it sources new contacts continuously. Pauses itself when your approval queue gets full so the human side is never buried.
Every Monday morning Kai reads its own week. Which subjects opened, which hooks earned replies, which personas converted. It compares variants, isolates what worked, and proposes specific changes you can approve in a single tap.
The grindy parts. Research, writing, sequencing, routing, learning. Kai runs the full motion from "new contact added" to "interested reply lands in your CRM."
Kai does not call, close, or decide. Conversations stay with your team. Strategy stays with you. Kai handles the volume so your reps can spend their time on the meetings that matter.
Every piece of intelligence in Kai, the research distillation, the sequence writing, the reply classification, the weekly self review, runs through Anthropic's Claude. The same model that powers Anthropic's own products. Claude was chosen for one specific reason: its writing reads like a thoughtful person, not a template engine.
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