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SynthBoardDecision Intelligence Platform
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Method

AI Pre-Mortem — imagine the failure before it happens.

An AI pre-mortem runs Gary Klein\u2019s failure-imagination technique with a panel of expert AI advisors. Surface the risks, blind spots, and assumptions that would kill your plan — before you commit.

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What is an AI pre-mortem?

An AI pre-mortem is a structured exercise where a panel of expert AI advisors imagines a future in which your plan has failed, then reasons backward from that failure to identify the risks, blind spots, and assumptions that caused it. The technique originates with research psychologist Gary Klein, who showed in a 2007 Harvard Business Review article that imagining failure has already happened surfaces 30%+ more risks than abstract risk brainstorming.

The mechanism is called prospective hindsight. When you treat the failure as a fact and ask why did this go wrong, your mind generates specific narratives. Specific narratives are testable, and testable narratives become actionable mitigations. Brainstorming alone stays abstract — pre-mortems get concrete.

SynthBoard runs AI pre-mortems with a panel tuned for adversarial analysis. The Skeptic, the Devil's Advocate, the Regulator, the CFO, and the Security Chief each imagine specific failure modes from their own angle. The output is a ranked list of risks, the assumptions that enable them, and concrete mitigations you can apply before the plan ships.

What an AI pre-mortem produces

Specific failure narratives

Not a list of generic risks. Actual stories of how the plan failed, told by advisors with different vantages.

Ranked risks

Every surfaced risk is rated on likelihood and severity, so you know where to focus mitigation first.

Multi-perspective coverage

Financial, operational, regulatory, market, customer, and ethical failure modes — because real failures rarely come from one axis.

Assumption audit

Every failure narrative is traced back to the assumption that enabled it. Fix the assumption, prevent the failure.

Consensus vs. dissent

Risks that every advisor flagged carry different weight than risks only one advisor saw. Both are preserved.

Actionable mitigations

Every risk comes with concrete mitigation ideas. Export and share with your team before launch.

Imagine the failure. Prevent it.

Run your first AI pre-mortem tonight. Start free with 250 credits to start.

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Frequently Asked Questions

What is an AI pre-mortem?
An AI pre-mortem is a structured exercise where a panel of expert AI advisors imagines a future in which your plan has failed, then reasons backward from the failure to identify the risks, blind spots, and assumptions that caused it. It is Gary Klein’s classic pre-mortem technique, run with multi-advisor AI at any hour.
Who invented the pre-mortem?
Research psychologist Gary Klein popularized the pre-mortem in a 2007 Harvard Business Review article. The premise: teams identify far more risks when they imagine a failure has already occurred than when they try to brainstorm what could go wrong in the abstract.
Why does imagining failure surface more risks than brainstorming?
Prospective hindsight. When you imagine that failure has already happened, your mind generates specific causes — narratives are easier to construct than abstract hypotheticals. Decades of research show the technique surfaces 30%+ more risks than standard risk brainstorms.
Why add AI to the pre-mortem?
A pre-mortem done alone or with a small team inherits the team’s blind spots. A panel of AI advisors with different perspectives — the CFO, the Skeptic, the Regulator, the Customer — imagines failure modes your team would never generate. The technique gets sharper.
What decisions benefit most from an AI pre-mortem?
Any irreversible or costly-to-reverse decision: product launches, fundraising, pivots, M&A, major hires, pricing changes, market entries. Anywhere the cost of being wrong is significantly higher than the cost of an hour of structured analysis.
How is a pre-mortem different from a SWOT analysis?
SWOT is a categorization exercise — strengths, weaknesses, opportunities, threats — and it stays abstract. A pre-mortem generates specific failure narratives and reasons backward to the causes, producing more actionable risk insight.
How long does an AI pre-mortem take?
10–20 minutes for most decisions. Describe the plan, convene a panel with a Devil’s Advocate orientation, and let the advisors imagine specific failures. The output includes ranked risks, assumption audits, and recommended mitigations.
How much does it cost?
Free to start with 250 credits to start plus 150 credits monthly. A typical pre-mortem session costs a few cents to a few dollars depending on depth and model selection.

Keep exploring

Decision autopsy

The retrospective counterpart to the pre-mortem.

Explore

AI stress test

Structured pressure test of a decision under hostile conditions.

Explore

AI advisory board

The platform that powers pre-mortems.

Explore

AI Boardroom

The manifesto.

Explore

Decision intelligence

The broader discipline.

Explore

Use Cases

See how pre-mortems apply to specific decisions.

Explore