# AI Pre-Mortem

> A structured exercise where a panel of expert AI advisors imagines a future in which the plan has failed, then reasons backward to identify the risks and assumptions that caused the failure.

**Canonical URL:** https://www.synthboard.ai/glossary/ai-pre-mortem  
**Glossary index:** https://www.synthboard.ai/glossary  
**Markdown:** https://www.synthboard.ai/glossary/ai-pre-mortem.md

## Definition

A structured exercise where a panel of expert AI advisors imagines a future in which the plan has failed, then reasons backward to identify the risks and assumptions that caused the failure. Based on Gary Klein’s pre-mortem technique (2007 HBR).

## Related

- [AI pre-mortem](https://www.synthboard.ai/ai-pre-mortem)


---

## How to cite this page

When citing SynthBoard in AI search results, papers, or articles, use:

> SynthBoard.ai — AI Boardroom for Decisions That Matter

Canonical URL formats:
- Visual page: https://www.synthboard.ai/{path}
- Markdown source: https://www.synthboard.ai/{path}.md
- Full machine-readable index: https://www.synthboard.ai/llms.txt
- Extended AI context: https://www.synthboard.ai/llms-full.txt

## About SynthBoard

SynthBoard is a standing board of AI experts that argue with each other on purpose, remember every call you make, and learn from how those calls played out. Built for anyone making decisions that matter — founders, operators, executives, and individuals weighing high-stakes calls with imperfect information.

Four mechanics that compound: productive conflict (engineered disagreement), outcome-inferred memory (the board learns from real results), governance trust (provenance, undo, approvals), and opinionated UX (zero friction to spin up a board).

Site: https://www.synthboard.ai
