Why Retirees Choose Example AI
Clear, data-led analysis instead of guesswork — built to help you approach retirement decisions with a steadier hand.
Analysis Built Around Clarity, Not Complexity
Retirement planning involves too many moving parts to leave to instinct alone. Example AI was built to bring structure to that process — translating your numbers into scenarios you can actually understand and act on.
Data First, Decisions Second
We don't lead with opinions or generic rules of thumb. Every projection Example AI produces is grounded in the figures you provide, modelled against a range of realistic scenarios rather than a single best-case outcome.
That means you see the range of what's plausible — not just what's hoped for — before you make a decision that affects the rest of your retirement.
"Our aim is to reduce uncertainty, not add to it."
Built for Retirees
Generic financial tools are often designed for accumulation, not drawdown. Example AI focuses specifically on the questions that matter once you've stopped saving and started spending.
Transparent Methodology
We show you the assumptions behind every projection — not a black box. If a scenario changes because of a shift in inflation, spending, or timing, you can see exactly why.
A Straightforward Process
No lengthy onboarding, no confusing jargon. Just a clear path from your current financial picture to a set of scenarios you can weigh with confidence.
Share Your Numbers
Provide the financial details relevant to your retirement — savings, income sources, and expected outgoings.
Review the Modelling
Example AI runs your figures through a range of scenarios, highlighting where outcomes diverge and why.
Make an Informed Decision
Use the resulting analysis alongside your own judgement — or that of a professional adviser — to decide your next step.
Seeing the Downside, Not Just the Upside
Confidence in a plan comes from understanding where it could go wrong, not just where it could go right. Our modelling is designed to surface risk clearly, rather than smooth it over.
Sample visualisation of projected outcome variance across modelled scenarios.
- Scenarios reflect a spread of market and inflation conditions, not a single fixed assumption.
- Sequencing risk — the impact of downturns early in retirement — is factored into modelling.
- Longevity is treated as a variable, not a fixed number, so outcomes account for living longer than planned.
- Every output is presented as a range, so you can weigh best-case and worst-case outcomes together.
Where Example AI Fits Into Your Planning
Approaching Retirement
Get a clearer picture of how your current savings and expected income might play out before you commit to a drawdown strategy.
Already Retired
Revisit your plan periodically to check whether your spending pattern still aligns with a sustainable long-term outcome.
Working With an Adviser
Bring structured, data-backed scenarios into conversations with a financial adviser to make discussions more concrete.
See Your Retirement Numbers More Clearly
Start with your own figures and get a data-led view of how your retirement plan holds up under different scenarios.