What is an autonomous SDR?
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An autonomous SDR is an AI agent that runs the sales-development workflow on its own — sourcing leads, sending outreach, drafting replies, reacting to signals — within an envelope of rules you define, without requiring human input on every step. The "autonomous" framing is what separates it from AI writing assistants that hand you copy to paste, or sequence tools that only execute a plan you wrote.
How autonomous is "autonomous" — what does the AI decide on its own?
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Within the envelope you set: it decides which prospects to source today (against your ICP and active signals), which sender to use, when to send, how to phrase the message at send time, when to retry a sequence, and how to draft a reply. Outside the envelope — high-value replies, new campaign approvals, copy changes outside tested variants — it pauses and asks.
How is an autonomous SDR different from a regular AI SDR?
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Most "AI SDR" tools sit in the suggest mode: the AI proposes, the human acts. An autonomous SDR operates in the do mode: the AI acts within rules you defined, and the human reviews exceptions. The difference is whether your day is spent clicking send or spent on strategy and qualifying conversations.
Is letting an AI run my outbound autonomously actually safe?
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Yes — the autonomy envelope is the safety mechanism. LinkedNav enforces conservative daily caps per sender, dedicated proxies, paced sending, and personalization at send time. The agent operates inside those rails. It cannot bypass them. The risk profile is identical to operating LinkedNav directly; the agent is just the operator.
What happens if the autonomous SDR gets a reply it does not know how to handle?
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It pauses, drafts a recommended response, flags the thread in chat for your review, and waits. The agent is explicit about which replies it handled on its own and which ones it deferred to you. Over time you can expand or narrow the envelope based on what you trust it with.
Which AI model powers the autonomous SDR?
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Claude, connected to LinkedNav over the open MCP standard. LinkedNav publishes a first-class MCP server at mcp.linkednav.com that any MCP-compatible client can drive. As MCP adoption spreads (Anthropic, OpenAI, Cursor, others), the same autonomy works in those clients without extra integration.
How much human time does an autonomous SDR actually save?
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Teams running an autonomous SDR on LinkedNav typically report 10–15 minutes of daily intervention per active sender — reviewing metrics, approving nuanced replies, occasionally adjusting the envelope. That replaces 4–6 hours of manual SDR work per sender per day. The math is why the model works.
Can I dial autonomy up or down over time?
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Yes. Start with high-approval defaults (everything routes to you), build trust on what the agent handles well, expand the envelope. Most teams converge on "agent runs sourcing and replies under X complexity autonomously, approval needed for the rest" within two to three weeks.