Personalize Outreach at Scale
Generate contextual, account-specific messaging that resonates with prospects without the manual effort of one-by-one personalization.

Mass personalization — "Hi {first_name}, I noticed {company} is in {industry}" — has become so common that buyers filter it automatically. Real personalization requires real context: understanding what this specific company is doing right now, why your product is relevant to their current situation, and what would make them want to reply.
Doing that for every account, at the volume needed to run effective outbound, is impossible without AI. With agents, it's the default.
What Genuine Personalization Looks Like
A genuine personalized message has three components that aren't templates:
A specific, current trigger: Something that happened recently that makes your outreach timely and relevant. Not "I see you're in SaaS" — "I saw you posted the new head of sales role last week" or "Congratulations on the Series B you announced."
A real connection to their situation: Not "we help companies like yours" — "teams scaling from 20 to 60 reps typically hit three specific friction points in their outbound motion, and that's exactly the window we're built for."
A clear, low-friction next step: Not "let me know if you'd like to connect" — "would a 20-minute call this week be useful to explore if there's a fit?"
The difference is specificity. Specific messages feel personal because they are.
How the Outreach Agent Works
The outreach agent takes the account data, signal context, and your messaging framework as inputs. For each target account, it:
1. Identifies the most relevant signal from the account's recent activity 2. Matches that signal to the relevant product value proposition 3. Drafts a message that connects the signal to the proposition in a natural, direct way 4. Stages the draft for rep review before sending
Reps see the draft, the signal it was built on, and can approve, edit, or reject. They're not writing from scratch — they're editing from a substantive draft.
The Scale Advantage
A rep who manually researches and writes 10 personalized messages a day is doing excellent work by most standards. An agent can prepare 100+ substantive drafts per day, each grounded in real account context. Reps spend their time reviewing, editing, and sending — not researching.
The volume goes up. The quality stays high. The reply rates follow.
Ready to deploy this workflow?
Talk to our team about setting up AI agents for your pipeline.
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