Hire your AI SDR
Inbound qualification, discovery, and SQL generation — run by chat.
Your AI Sales Development Rep turns inbound signal into qualified pipeline. Demo request, signup, content download, warm referral — the SDR responds in minutes with the right question, qualifies fit, and hands the AE a meeting with context. Your inbound stops dying in the gap between form submit and first touch.
What your AI SDR does
Workflows on autopilot
Without vs With a AI SDR
- —Demo request comes in at 3pm, first human response the next morning
- —Signup lead goes into a slack channel, gets read, gets forgotten
- —Nurture sequences are 'newsletter' with no segmentation
- —AE gets a meeting with zero context and re-runs discovery
- —Human SDR headcount runs $70-90K plus ramp plus turnover
- ✓Demo request gets a personalized response in under 5 minutes
- ✓Every signup scored on intent and worked through to conclusion
- ✓Nurture matches stage and intent, re-qualifies every 90 days
- ✓AE gets a meeting brief 24 hours before the call
- ✓AI SDR works 24/7 at a fraction of the cost with zero ramp
A day in the life of your AI SDR
Tools your AI SDR uses
Frequently asked questions
What's the real difference between an AI SDR and AI BDR?
Simplest lens: SDR works inbound (leads who raised their hand), BDR works outbound (finding new accounts). The tooling, metrics, and mental model are different. SDR success is speed-to-lead, qualification accuracy, and conversion to meeting. BDR success is account selection, reply rate, and sourced pipeline. Most solo founders start with the SDR because inbound is cheaper to work than outbound and the ROI shows faster. Once inbound saturates you add the BDR to open outbound channels. Running both is standard in mature go-to-market.
How fast can it actually respond to a lead?
Consistently under 5 minutes during business hours, often under 60 seconds. Speed-to-lead matters because Harvard Business Review research showed leads contacted within 5 minutes are 21x more likely to qualify than those contacted within 30 minutes. Most human SDR teams violate this constantly because of queue depth, lunch breaks, and time zones. The AI SDR holds the SLA without thinking about it. The net effect on pipeline is meaningful — typical early customers see 15-30% more SQLs per inbound just from responding faster.
Does it actually do discovery or just book meetings?
Real discovery. It asks 3-5 specific questions calibrated to the lead source and page context, listens to answers, and qualifies on fit, timing, and urgency. Leads that are not ready go to nurture with context so the next touch is relevant, not generic. Leads that are ready get a meeting with a brief delivered to the AE. The failure mode of cheap SDR tooling is qualifying everyone so the AE can "qualify later" — that wastes AE time. The AI SDR is designed to protect AE calendar aggressively, which raises close rates on the meetings that do happen.
What about conversational AI experiences on the website?
The AI SDR runs the backend; the front door can be a chat widget (Intercom, Drift, or similar) or a form or both. When chat is the first touch, the AI SDR handles the conversation in real time: answers the question, qualifies the visitor, books the meeting if appropriate. The shift from 'wait for form submit' to 'qualify in the moment' is one of the highest-ROI changes most early companies can make. Tycoon integrates with the common chat widgets; you pick the UX, the AI SDR handles the logic behind it.
How does it avoid disqualifying good leads?
Three defenses. First, the qualification criteria are versioned and reviewed monthly — when the CEO sees a disqualified lead that should have been an SQL, the criteria get updated. Second, the AE can override any routing decision and the SDR learns from the override. Third, non-qualified leads enter nurture rather than deletion — if the timing is wrong today, the SDR will re-qualify in 30-90 days based on behavior signals. The loop is designed so false negatives get caught and fixed rather than thrown away.
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