For advisors and planners
AI-Driven Assessment for Financial Advisors
An AI-driven assessment for financial advisors is a structured client questionnaire where AI drafts the questions and writes the report from the answers. You pick your specialization - tax planning, investment advisory, wealth management - the AI writes the questions in that language, your client answers through their own login, and a full report is drafted for you to review and approve before they see it.
- No bank or brokerage connection
- Not a suitability or KYC questionnaire
- You approve every report
- Hosted, white-label or source code
Ships configured for
- 01
Investment Advisory
- 02
Wealth Management
- 03
Financial Analysis
- 04
Tax Planning
- 05
Risk Management
- Client discovery
- Money behaviour
- Cash-flow questions
- Risk conversations
- Progress check-ins
- AI-drafted questions
- Your review queue
- Advisor note
- Branded PDF
- Client Groups
- Session booking
Client discovery is the same conversation every time. Where does the money go each month. What is left over. What is already invested and why. What happened the last time markets fell. What do they want the money to do.
You know the questions. That was never the problem. The problem is that asking them takes an hour, the answers arrive as notes, and turning those notes into something the client can read takes an evening for every new client, forever.
The change
What AI-driven assessment changes
Two specific jobs, and neither of them is the advice. The AI drafts the questions for the specialization you work in, and it drafts the report once the client has answered. Everything in between - what to ask about, what the numbers mean, what the client should do - stays with you.
The practical effect is that discovery stops being an interrogation. The client answers in their own time, one question at a time, saving and coming back if they need to. Which, for questions about money, matters more than it sounds: people give more honest answers about overspending when there is nobody sitting across the table watching them answer.
You arrive at the first meeting having already read the report. The hour goes on the conversation instead of the data collection.
The difference
Spending, saving and the reasons behind both
Two clients with identical income and identical outgoings need completely different plans, and the difference is behavioural. One overspends in the month after a bonus; one cannot bring themselves to invest a cash pile that has been losing to inflation for four years; one sold everything in March 2020 and has been in cash since.
A bank feed will not tell you any of that. It shows you that a transaction happened, not what the person was thinking when it happened. An assessment can ask directly about the months that go wrong rather than the average month, about what they did last time markets fell rather than how they rate their risk appetite out of ten.
Why it matters
That is the part of discovery worth automating the drafting of, because it is the part that changes the plan.
Coverage
Which finance specializations does it cover?
| Specialization | What an assessment in this area tends to ask about |
|---|---|
| Investment Advisory | Existing holdings and why they were chosen, what happened in the last downturn, time horizon, and the gap between stated and demonstrated risk appetite |
| Wealth Management | Whole-picture position, family and succession intentions, liquidity needs, and what the money is ultimately for |
| Financial Analysis | Income stability, monthly outgoings, where the surplus goes, and which months break the pattern |
| Tax Planning | Allowances used and unused, structure of income, timing decisions, and what the client currently does not know they are paying |
| Risk Management | Protection already in place, dependants, worst-case exposure, and the events the client has never priced |
Those five ship configured. If your practice sits somewhere else - retirement transition, business exit planning, divorce finance, first-time investors - you define your own specialization and the AI drafts against that instead.
The build
How to build a client discovery assessment in Scorvia
- 01
Pick your specialization
Set your industry and the specialization inside it. Investment Advisory, Wealth Management, Financial Analysis, Tax Planning and Risk Management ship configured, or you define your own.
- 02
Let the AI draft the questions
The AI writes a first-draft question set in the vocabulary of that specialization, including the behavioural questions about spending and risk that a document template usually leaves out.
- 03
Make it yours
Keep what fits, rewrite what nearly fits, add your own multiple-choice, true/false or open-text questions, and branch the set so clients only answer what applies to them.
- 04
Send it to the client
The client gets their own login and answers one question at a time, with progress saved so they can stop and come back.
- 05
Review, add your note, approve
The report is drafted when you open it. Rework any section, add your advisor note above the AI's work, preview the client-facing version, and approve. Nothing reaches the client until you do.
- 06
Reassign it later to track progress
Send the same assessment again on a monthly or quarterly cadence. Because the questions are identical, the answers are directly comparable.
The report
What the report gives you
It is written before you open it. Five sections - executive summary, key findings, strength areas, improvement areas and recommendations - with scores and charts alongside, and it lands in your review queue, not your client's inbox.
From there it is yours. Rework a single section without touching the other four. Roll back if a rewrite came out worse. Add a coach note that sits above the AI's work in your own words, which on a finance report is where your judgement goes. Then preview the client-facing version, written in the second person, and approve it. Reports carry your logo and profile details and download as PDF.
The recommendations section is where goals get written down: the monthly savings target, the quarterly review point, the annual allowance to use before it expires. You write them or you edit them, and then you agree them in the session your client books straight from the report page.
What is in the draft
- 01
Executive summary
- 02
Key findings
- 03
Strength areas
- 04
Improvement areas
- 05
Recommendations
After the first report
How do you track progress after the first report?
Two mechanisms, and they do different jobs.
Reassign the same assessment on a cadence.
Monthly, quarterly, or whatever the engagement calls for. Because the questions are identical each time, the answers are directly comparable, which is the only way to show a client that the thing they were worst at in January has moved. Keep the check-in set short and do not rewrite it, or you lose the comparison.
Use post-session feedback surveys.
Star questions with branching, giving you the average rating, the full distribution and comments split into positive and critical. This tells you how the sessions are landing, which is a different question from whether the client's finances are improving. Both are worth knowing.
If you are running a cohort - of a workplace financial wellbeing program, a group of new investors - Client Groups assign one assessment to a named set of people at once and return an individually drafted report for each person, not one merged average.
Straight answers
What this is not
Not account aggregation.
No bank or brokerage connection, no live balances, no transaction feed. Clients answer questions; that is the input.
Not a suitability or KYC questionnaire.
There is no validated risk-scoring model and no regulatory alignment. Keep running your compliance process exactly as it is.
Not advice.
The AI drafts; every recommendation is written or approved by you before it reaches anyone.
Not a budgeting app.
There is no savings tracker and no spending dashboard. Goals are written into the report and agreed in the session - the diagnosis, not the daily ledger.
No public or anonymous links.
Clients are invited and answer under a login, which is right for a paid engagement and wrong for a lead-capture quiz.
The comparison
Compared with how most advisors run discovery
| What changes | A questionnaire document | A form tool | Scorvia |
|---|---|---|---|
| Who writes the questions | You, once, then edit forever | You | AI drafts for your specialization, or you write them |
| Client experience | A PDF to fill in | A form link | Own login, saved progress, report history |
| Who writes the report | You, every time | You, from an export | AI drafts, you rework and approve |
| Behavioural questions | If you thought to add them | If you thought to add them | Drafted into the set by default |
| Comparing month to month | Manual | Manual | Reassign the same set, compare in one place |
| Your time per client | An evening | An evening | Review time |
Ownership
Your questions and your client data stay yours
Worth being specific about, because most AI tools are not. No model is trained on your content.
The questions you write, the assessments you build and the reports you approve belong to your practice, and client records are private to your account - never shared between accounts, never sold on. The only thing the system remembers is which suggestions you kept and which you dismissed, so future drafts read more like your own writing.
Deployment
Under your own brand
Scorvia is sold hosted, white-label, and with source code available. Advice firms and financial education businesses generally take one of the latter two, because the assessment carries their name and because that is where deployment into an existing environment is handled. Built by Fly IT Solution.
- Hosted
- White-label
- Source code
Questions
Common questions
Last updated . Reviewed by Ankush Tarika, Financial Planner.