Frequently Asked Questions

What is a pre-mortem?

A pre-mortem assumes your decision has already failed — then works backward to find the failure points before they actually happen, so you can protect the business. Formalized by psychologist Gary Klein in 1998, it exploits prospective hindsight. Research shows that imagining an event has already occurred increases the ability to identify real risks by 30%.

How is Pre-Mortem.ai different from asking ChatGPT?

ChatGPT gives you one perspective from one prompt. Pre-Mortem.ai runs 12 independent adversarial AI personas, each with a different lens — hostile investor, bear analyst, regulatory attorney, competitor strategist, departing employee, and more. Each persona operates independently with real-time web research and is pattern-matched against 400+ documented business failures. The result is convergence analysis: when multiple independent personas flag the same risk without coordination, that risk is almost certainly real.

How much does it cost?

$449 per report — less than one hour of a McKinsey consultant's time. The full report includes 8 sections: executive summary, ranked risks with severity scoring, failure chains showing how risks cascade, a mitigation playbook (prevent/detect/fallback for each risk), historical comparables, killer questions, blind spots analysis, and greenlights.

How long does it take?

Reports are typically delivered within 30-60 minutes of submission. The engine runs autonomous web research, 12 adversarial personas in parallel, synthesis with convergence analysis, and mitigation architecture — all automatically. No human involvement, no scheduling, no meetings.

Is my submission confidential?

Yes. Every submission is protected by automatic NDA and AES-128 encryption. Reports are delivered only via email — there is no public hosting of customer reports. Nobody sees your submission but you. The engine is fully autonomous — no human reviews your submission at any point.

What decisions can I submit?

Any high-stakes business decision where the cost of being wrong is high: acquisitions, product launches, fundraises, strategic pivots, market entries, hiring decisions, partnership evaluations, or any commitment that deserves adversarial stress-testing before you execute.

Who built Pre-Mortem.ai?

Pre-Mortem.ai was built by Tyler Rushton and launched in 2026. It is the first AI engine purpose-built for adversarial pre-mortem analysis — not a chatbot, not a prompt template, but a full pipeline with autonomous research, multiple independent personas, and structured risk output.