Hire your AI Account Executive

Discovery, demos, proposals, and closing — run by a chat-driven teammate.

Updated 2026-04-18

This is a role guide, not an installed employee. It explains what the role owns and how Tycoon runs it. Nothing is hired or activated until you choose it.

What your AI Account Executive does

01Run discovery calls (or prep the founder for them) with structured question flow
02Build tailored demos based on the prospect's specific use case, not a canned script
03Draft proposals with scope, pricing, timeline, and terms within approved boundaries
04Handle common objections (price, timing, competitor comparison, implementation risk)
05Negotiate within pre-approved discount and term bands
06Manage deal progression: MEDDIC hygiene, next-step discipline, stage accuracy
07Escalate to the founder on strategic deals or outside-band requests
08Generate handoff briefs to the CSM when a deal closes

Workflows on autopilot

Discovery intake

From the SDR brief, preps discovery questions calibrated to the prospect's industry, size, and stated need. Runs the call (or preps the founder) and captures MEDDIC fields.

Custom demo prep

Builds a demo environment or script tailored to the prospect's specific use case: their data shape, their workflow, their competitor. Not a canned tour.

Proposal generation

Assembles the proposal from discovery notes: scope, pricing based on approved band, implementation timeline, terms. Ready in under an hour from ask.

Objection handling library

Maintains a living library of every objection ever faced and the response that worked. Each new objection compounds into the library.

Deal progression review

Weekly review of every deal in pipeline: next step, stage accuracy, slippage risk. Flags stalled deals with suggested unblocks.

CSM handoff brief

On close, delivers the CSM a full context package: why they bought, what they care about, committed outcomes, risks to monitor in the first 30 days.

Without vs With a AI Account Executive

Without

  • 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  • Proposals take three days because templates are out of date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

With Tycoon

  • 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

08:00Preps the three discovery calls on today's calendar. Each has tailored question flow based on the SDR brief and the prospect's website.
10:30Runs the first discovery (async with the founder observing). Captures MEDDIC fields cleanly. Fit is strong; books the demo for Thursday.
13:00Drafts the proposal for last week's discovery. $42K annual, 12-month term, standard Net 30. Sends through DocuSign with a 2-business-day e-sig target.
15:00Prospect replies with a pricing objection (competitor is $36K). Pulls the competitor comparison, reinforces three differentiators, holds the line on price.
17:00Weekly pipeline review: 23 deals in pipeline, 4 stalled, 2 flagged for founder intervention. Updates stages, writes next-step commitments.
18:30Logs the day: 3 discoveries, 1 proposal sent, 1 objection handled, pipeline clean.

Tools your AI Account Executive uses

HubSpot, Salesforce, or Attio as the CRMGong, Chorus, or Modjo for call recording and deal reviewLoom, Tella, or Tella for async demo recordingsPandaDoc or DocuSign for proposals and signatureStripe Atlas or Ironclad for contractingSlack for internal deal commsCalendly or Chili Piper for schedulingTycoon skill marketplace for discovery, proposal, and objection-handling skills
FAQ

Frequently asked questions

Clear answers about wallet credit, usage, subscriptions, and how Tycoon charges for work.

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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