The team faced the usual trade-off: send volume and watch relevance collapse, or research each account properly and watch pipeline stall. Templated sequences drew reply rates around 1%. Real personalisation took a rep 20 to 30 minutes per prospect, so it was reserved for a handful of accounts a week. Follow-ups slipped, channels were worked in isolation, and the CRM lagged reality by days.
The AI OS runs the outbound motion as a coordinated team of agents. A research agent enriches every prospect with role, priorities, recent announcements, hiring signals and tech stack, and writes a one-page brief. A writing agent drafts a message from that brief in the firm's voice, referencing one specific, verifiable detail rather than a name token. An orchestration agent sequences the touches across email, LinkedIn and voice, switching channel on behaviour and pausing the moment a prospect engages. A reply agent classifies every response and answers routine questions within minutes; anything with intent is handed to a rep with the full thread and brief. A CRM agent logs it all. Nothing is sent without a rep's approval policy, and deliverability is monitored continuously so volume never outruns sender reputation.
Every prospect enriched from public and internal sources and summarised into a brief before a word is written.
Each message drafted from the brief and anchored to a specific, checkable detail about the person and their business.
Email, LinkedIn and voice coordinated as one sequence that adapts to how each prospect responds.
