The Intersection

AI SDR / AI BDR

An AI SDR is an autonomous agent that runs outbound prospecting work traditionally handled by a sales development or business development representative.

AI SDR (or AI BDR) is the first category of GTM agent to reach production at scale. The job is classical. Find relevant accounts. Identify the right contact. Draft an outbound message. Handle the reply. Book the meeting. The agent version replaces some or all of that work with a software loop running against CRM, enrichment, and email tools.

The first wave of AI SDRs shipped in 2023 and 2024. These were thinly-personalized template engines that pulled a LinkedIn bio, swapped in a tokenized sentence, and fired at volume. Buyers noticed. Deliverability collapsed. A backlash followed. Several well-funded AI SDR companies saw retention fall off a cliff because the output was indistinguishable from spam.

The second wave is different. These agents are grounded in real customer signal. They cite the sales call, the support ticket, or the public post that justifies the reach-out. The personalization is not a swapped token. It is a reason the buyer should care, pulled from evidence the agent can show on request.

The Amdahl view

The AI SDRs that win in 2026 and beyond are the ones grounded in a customer intelligence layer. Generic template SDRs have hit their ceiling and are taking their buyers' patience with them. Any company selling AI SDRs that cannot show where the personalization came from is selling the losing architecture. The question to ask every vendor is simple. Show me the source of the claim in the first line of the email. If the answer is a language model guess, the product is already obsolete.

See customer intelligence running on your own customer conversations.