Hire your AI Account Executive
Discovery, demos, proposals, and closing — run by a chat-driven teammate.
Your AI Account Executive runs the full sales cycle for deals that do not need a founder in the room. Discovery, tailored demo prep, proposal generation, objection handling, pricing negotiation within bounds, and closing. You step in only on the deals worth your personal attention.
What your AI Account Executive does
Workflows on autopilot
Without vs With a AI Account Executive
- —The founder runs every deal personally and becomes the bottleneck
- —Proposals take three days because templates are out of date
- —Objection responses are improvised and inconsistent
- —Deals stall because no one owns next-step discipline
- —A human AE runs $180K+ OTE plus ramp plus turnover
- ✓AE runs 80% of deals; founder focuses on the strategic 20%
- ✓Proposals ship within an hour of the ask, tailored to the deal
- ✓Objection library compounds the best responses across every rep
- ✓Weekly review surfaces slippage before it becomes lost pipeline
- ✓AI AE handles deals up to the band you authorize at a fraction of cost
A day in the life of your AI Account Executive
Tools your AI Account Executive uses
Frequently asked questions
Can an AI really close deals?
For SMB and low-mid-market motions (deals $2K-$50K ACV), yes, end-to-end. The AI AE runs the discovery, builds the tailored demo, drafts the proposal, handles common objections, and closes within approved bands. For mid-market and enterprise (deals $50K+), the pattern shifts: the AI AE runs the process and founder or a human sales leader takes the strategic moments (first meeting, pricing escalation, final close). Riley Brown and many creator-economy businesses run end-to-end AI AE; enterprise SaaS typically runs hybrid. Both models work.
How does it handle live discovery calls?
Two modes. Mode 1: asynchronous — the prospect answers discovery questions by email or a structured form, the AI AE reads the responses and produces a tailored next step. Works for self-serve and PLG motions. Mode 2: live-supported — a human (founder or part-time rep) runs the call with the AI AE pre-briefed, listening, and following up afterward. Works for traditional B2B motions. Pure AI voice on a live sales call is technically possible but most prospects can still tell and it affects close rate; most teams use async or hybrid.
What about negotiation — can AI negotiate price?
Within bounds, yes. The CEO sets the authority: discount band (e.g., up to 15% for annual prepay), term flexibility (Net 30 vs Net 45), payment terms, minimum commitment. Inside those bounds the AI AE negotiates freely. Outside those bounds it escalates to the founder with the prospect's request, the rationale, and a recommended response. Most discount requests are inside the authority; only strategic enterprise moves hit escalation. This is how a well-managed human sales org operates, with the authority explicit rather than tacit.
Does it build custom demos or run a canned one?
Custom. The AI AE reads the discovery notes, the prospect's website, their stack if public, and builds a demo environment or script that shows their use case, not a generic tour. For SaaS products with a configurable demo environment, this is automated — the AI AE provisions a demo tenant with the prospect's industry data patterns. For manual demo products, it writes the demo script and flow. The demo-to-close conversion lift from tailored demos vs generic tours is meaningful, typically 20-40%.
What does the CSM handoff look like?
When a deal closes, the AI AE generates a full handoff brief: why they bought (in their words), what outcomes they committed to, what objections almost killed the deal, what risks might surface in the first 30 days, and who the stakeholders are. The CSM (or AI CSM) walks into onboarding with full context and can immediately start delivering on the committed outcomes. Most AE-CSM handoffs at small companies are broken — AEs disengage, CSMs start cold. The AI structure forces a clean handoff every time.
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