What is scenario planning AI?

Scenario planning AI helps teams rehearse possible futures, stakeholder reactions, risks, and decision branches before committing to a plan.

How does MiroFish support scenario planning?

MiroFish combines seed context, graph structure, simulated agents, and reports so teams can compare branches and assumptions.

When should I use scenario planning AI?

Use it before public launches, pricing changes, market moves, policy announcements, product decisions, or strategy choices with uncertain reactions.

Scenario planning AI

Scenario planning AI for decisions that may split into several futures.

MiroFish helps teams turn a strategic question into evidence, simulated perspectives, scenario branches, and a report that makes the next test easier to choose.

Open a planning workspace See AI scenario simulator

Plan for reactions, not just facts

Strategic plans often fail because people respond differently than expected. Customers, competitors, internal teams, media, regulators, and partners may interpret the same decision in different ways.

MiroFish gives those perspectives room to disagree. The output helps the team decide which branch is most important to test and which assumption is most dangerous.

A simple scenario planning workflow

Frame the choice

Define the decision, time horizon, actors, and what would make the plan succeed or fail.

Ground the simulation

Add seed material so the scenario uses your real context, not a generic business prompt.

Compare branches

Review likely reactions, rerun with one changed assumption, and choose the next evidence-gathering step.

What a useful planning report includes

A useful report should show stakeholder reactions, branch triggers, key assumptions, disagreement between simulated agents, and the next real-world tests. It should make the team more honest about uncertainty instead of pretending uncertainty is gone.

Updated: 2026-06-23.