Every tool built around one question: what does this risk actually mean for you?
Pillar Wealtmere combines structured data, predictive modelling, and plain-language reporting so that the detail behind every recommendation is visible, not hidden behind a score.
A feature set designed for scrutiny, not just speed
Most profiling tools optimise for a quick answer. Pillar Wealtmere is built so that answer can be checked, questioned, and understood — by you, by your adviser, or by anyone reviewing the output later.
Below is a closer look at the core capabilities that make up the platform: how inputs are gathered, how the underlying model works, and how results are presented back to the people who need to act on them.
Structured questionnaires that go beyond a single checkbox
Rather than reducing risk appetite to a single multiple-choice answer, Pillar Wealtmere's profiling module walks through time horizon, liquidity needs, loss tolerance, and prior experience as separate, weighted inputs. Each answer is stored individually, so the reasoning behind a final profile can be traced back to its source.
The result is a risk classification that holds up under review, rather than one that simply looks tidy on a summary screen.
Time horizon, drawdown tolerance, income stability, prior market exposure, and stated objectives — each logged as a discrete data point feeding the overall profile.
Scenario modelling instead of a single projected outcome
Markets don't move in a straight line, and a single projected return figure tends to obscure that fact. Pillar Wealtmere runs multiple forward-looking scenarios against a given portfolio shape, surfacing a range of plausible outcomes rather than one headline number.
This is presented alongside the assumptions used to generate it, so the range can be interrogated rather than taken on faith.
Outputs are shown as ranges with stated assumptions, not as point forecasts — because point forecasts imply a certainty the underlying data doesn't support.
Every input and output is logged and retrievable
Each profiling session, scenario run, and resulting recommendation is recorded with a timestamp and the inputs that produced it. If a client or adviser wants to understand why a particular conclusion was reached six months earlier, the record is there to consult — not a reconstruction after the fact.
This matters as much for internal review as it does for client-facing conversations about past decisions.
Decisions made on a client's behalf should be explainable later, not just defensible in the moment they were made.
Reports written to be read, not just filed
Technical output is translated into summary language before it reaches a client-facing screen. The underlying figures remain available for anyone who wants to look closer, but the headline view is built to be understood on first read, without a glossary.
Advisers can adjust the level of detail shown depending on who the report is for.
A plain-language summary sits on top of the full data set, so simplicity doesn't come at the cost of accuracy.
Profiles that update as circumstances change
A risk profile taken at onboarding can go stale within a year. Pillar Wealtmere prompts periodic re-assessment and flags when a client's stated circumstances — income, horizon, objectives — may no longer match the portfolio they're currently holding.
The aim isn't to force frequent changes, but to make drift visible before it becomes a problem.
Mismatches between stated profile and current holdings are surfaced for review — the decision on what to do next stays with the adviser and client.
How the pieces fit together
Each feature described above draws from the same underlying data model. Profiling inputs feed the scenario engine; scenario outputs feed the reporting layer; monitoring compares live data back against the original profile. Nothing sits in isolation, which is what allows the audit trail to stay coherent as a client's situation evolves.
This also means the system can be reviewed as a whole rather than feature by feature — a useful property for compliance reviews, adviser training, or simply explaining a recommendation to a client who wants to see the reasoning.
Designed to sit inside an existing advisory process
Pillar Wealtmere isn't built to replace judgement — it's built to give the people exercising that judgement a clearer, better-documented starting point. The interface is deliberately plain: profiling inputs on one side, generated output on the other, with the reasoning always one click away.
Whether it's used for a single client conversation or across a book of accounts, the same structure applies: capture, model, report, monitor.
Features, in brief
Does Pillar Wealtmere replace the need for an adviser?
No. The platform is designed to support an adviser's process by organising inputs, generating scenarios, and documenting reasoning — final decisions and client relationships remain with the adviser.
Can the scenario assumptions be reviewed?
Yes. Every scenario output is shown alongside the assumptions used to generate it, so the range of outcomes can be checked rather than accepted at face value.
How often does a profile get re-checked?
The platform prompts periodic review and flags mismatches between a client's current holdings and their stated profile. The frequency and follow-up action are set by the adviser or firm using the platform.
Is the underlying data accessible, or only the summary report?
Both. Plain-language summaries sit on top of the full data set, and the full set remains accessible to anyone who needs to review it in detail.
See how these features apply to your own client base
A working session is the clearest way to understand how profiling, modelling, and reporting fit together in practice.
Request a demoCapital at risk. Pillar Wealtmere provides analytical tools to support decision-making and does not constitute financial advice. Past performance and modelled scenarios are not a guarantee of future results.