AIAgents_Sales — Hand Over the Pipeline, Keep the Judgment
Your competitors are deploying AI SDRs.
About this simulation
Executive simulation on the jagged frontier of AI capability, built on Dell'Acqua et al. (2023) and the centaur/cyborg framework. Participants run Atlas Advisory Partners, a Philadelphia advisory firm ($68M revenue, 65% fixed-fee), across four quarters.
Quarters 1–3: allocate six delivery task families across Human, AI-solo, Centaur or Cyborg modes with tiered verification (none / spot-check / full review), using a scarce probe budget to map true AI capability — which does not follow perceived task difficulty.
A capacity crunch forces heavy delegation; a mid-game model upgrade silently moves the frontier (five tasks improve, one regresses), making the delegation map decay. Quarter 4: design a five-step multi-agent compliance pipeline where per-step error rates compound (92% per step ≈ one error every three cycles) and place the human escalation gate.
Scoring blends delivery efficiency (40%), client trust (35%) and frontier-map accuracy (25%), rewarding empirical probing, verification matched to blast radius, re-mapping cadence after upgrades, and deliberate human checkpoints in agent chains. Deterministic model — no unseeded randomness feeds the grade.
Teaching core: difficulty is not frontier position; fluency is not accuracy; verification is portfolio economics; the map has a shelf life. EN/ES.
Who it is for
An advanced simulation for participants used to working with the main frameworks and trade-offs of the subject, designed for executive education and experienced professionals.
How a session runs
- The instructor creates a session from the Eureka dashboard and invites the participants.
- Participants play 4 rounds. In each one they submit their decisions and the simulation calculates the results.
- The instructor follows each participant's progress and results from the dashboard, and uses the class results for the debrief.