Know what happens before it happens
Every organisation makes decisions it cannot easily take back: a price change, a new eligibility rule, an operating policy. The direct effect is usually easy to predict. The downstream effects, how thousands of people, customers or assets respond, are what produce the expensive surprises.
Policy Simulator is a what-if engine for those moments. Describe the change you are considering and it runs thousands of agent-based scenarios: simulated populations that respond to the new rule individually rather than as an average. The result is a picture of what your decision does, including the feedback loops and edge cases a spreadsheet averages away.
Answers in plain language
Simulation output is only useful if decision-makers can act on it. Policy Simulator pairs its risk and sensitivity dashboards with a written explanation of every outcome: what changed, who it affected, and which assumption the result is most sensitive to. You do not need a data science team to question the results. The trade-offs are spelled out in the language of the decision itself.
Where it is now
Policy Simulator is in active research and development. Its current test bed is an energy-policy scenario, where pricing and policy changes are simulated against operational data before anything ships.
If you have a high-stakes decision coming, we would rather show you than tell you. Request a demo and we will run the engine on a question that matters to you.