Most planning arguments are really arguments about assumptions buried inside spreadsheet cells. The scenario modelling AI agent from Nestack Agent Care lifts those assumptions out, gives each one an owner and a date, and ranks the few that actually move the answer before anyone debates the central case.

What the agent does:
- Names every assumption inside a case and carries its owner and the date it was set whenever it changes.
- Opens a range of cases without labelling any of them expected, because a case is not a forecast.
- Ranks the drivers that move the answer most after each sensitivity run, and never flexes two correlated drivers as if the other stood still.
- Marks a case stale when an input goes stale, and keeps version, provenance and a purpose note attached so a model reopened a year later still makes sense. It works from budget models, driver files, actuals extracts or the planning system itself.

Where people stay in charge: a named owner sets the value of each assumption, and finance and the people accountable for it choose the plan. Write actions run only inside the approval boundaries agreed during implementation, and each analyst correction is counted in the agent's evaluation.

Read the full page: Scenario Modelling AI Agent by Nestack Agent Care. More managed AI agents for strategy teams at nestackagents.com.