Scenarios Reviews 1

TrustScore 3.5 out of 5

3.7

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Company details

  1. Software Company

Written by the company

Scenarios is an AI-powered financial planning platform for the UK market, helping individuals understand their financial future across hundreds of possible outcomes. The platform combines advanced simulation, UK tax modelling, side-by-side strategy testing and AI explanations, allowing users to model pensions, ISAs, cash, property and retirement income in one place. Built around a comprehensive modelling engine, Scenarios helps users compare strategies, stress-test assumptions and explore accumulation and decumulation planning. AI-powered explanations make complex outputs easier to understand, helping users see the trade-offs, uncertainty and long-term impact behind major financial decisions.


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3.7

Average

TrustScore 3.5 out of 5

1 review

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Rated 5 out of 5 stars

Detailed, straightforward, informative. Plus great support

Having spent days creating a pension forecast in Excel, I came across Scenarios. It took 10 minutes to add my numbers in, and 5 minutes to "play around" with them in Scenarios, and by then I had far more confidence in the numbers than my homemade spreadsheet gave me. I just wish I had known about Scenarios sooner!

Now that I have everything in Scenarios, it is easy to experiment with different drawdown structures and run "what if" scenarios simply by adjusting one of the several intuitive sliders.

The graphs makes it all quick and easy to understand.

I am very pleased that I paid the modest fee for a year to make full use of the software, and I expect that even when I do retire I will keep subscribing to let Scenarios help ensure I make the right decisions year-by-year for withdrawals.

May 21, 2026
Unprompted review
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Reply from Scenarios

Thanks so much Tomas — really appreciate you taking the time to leave such detailed feedback.

We built Scenarios specifically to help people move beyond static spreadsheets and feel more confident experimenting with different retirement outcomes and withdrawal approaches.

Glad you found the graphs and scenario testing useful, and thank you again for the support.

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