Wealth Management
AI agents in wealth management, built as AI employees. Portfolio screening, scenarios and advisory documentation, prepared for the adviser, and every statement openly carries its origin and reliability.
The portfolios are reviewed at the agreed interval. Whatever could be reallocated or reinvested reaches the adviser as a proposal with a rationale. Preparing investment proposals for advisers automatically means preparing the decision here; the recommendation stays with the institution. Your wealth management software and your portfolio management software remain the leading systems, and the AI employee works with the data they supply.
The investor's life situation counts beyond the risk category: goals, sustainability preferences, investment horizon in the sense of MiFID II. The advisory documentation that the adviser has to record in any case is ready in draft form; it is checked, amended and approved by the adviser.
The AI employee carries out preparatory work in onboarding and account maintenance: it gathers documents for KYC and anti-money laundering checks that your anti-money laundering software works with, and it identifies which existing clients holding a securities portfolio account should be approached systematically because their situation has changed.
Partnership
In partnership with Morningstar.
There is a collaboration with Morningstar on the data side: financial data is made usable for AI roles, and from this jointly developed use cases for wealth managers have emerged, from portfolio screening to advisory documentation. Together both firms serve clients in wealth and asset management: Morningstar provides research, ratings and market data, and scoreprise.AI provides the AI roles that turn this into ongoing work. No company relies on a single data supplier, so the AI employee works across several providers, and every statement openly carries its origin and its reliability.
MiFID II suitability assessment
Suitability assessment prepared, the exception goes to the adviser.
The AI employee checks the portfolios against the investment policy and against what is known about the investor, as preparation for the decision on the suitability assessment under MiFID II. Only the cases that need a decision reach the adviser, with a proposal and a rationale. The assessment and the recommendation remain with the institution; this is not a MiFID II suitability assessment software that makes its own assessment decision.
Book a callRationale: the proposal matches the investor's investment horizon, objectives and preferences. The origin and reliability of the underlying data are shown for each position.
Automate advisory documentation
The suitability statement, drafted before the meeting.
Why a recommendation suits this investor is something the adviser must record. The AI employee drafts this rationale in advance, from the proposal, the market situation and what is known about the investor, including sustainability preferences in investment advice. Automating advisory documentation means this here: the draft is ready, the adviser checks, amends and approves it, and the document remains the institution's document.
Book a callThe limit
Rating and risk classification are deemed high-risk under the EU AI Act. That is why the division of labour is clear.
The AI employee takes on
- Screening portfolios and drafting proposals
- Calculating and flagging scenarios
- Drafting advisory documentation
- Obtaining information for KYC and anti-money-laundering checks
The following remains with your company
- The recommendation to the investor
- The investment decision
- The advisory obligation
- Every approval at the critical points
The starting point is internal and with the adviser. The AI use cases in private banking that we build therefore sit ahead of the recommendation: screening, scenarios, documentation, KYC preparation. With Ernst & Young there is a partnership as an implementation partner for the wealth and asset management market, with Morningstar a collaboration on the data side.
Your portfolio and research data in the tools your advisers already use. The answer comes from the same verified basis.
Check us before you speak to us.
Three ways to check our work in advance: the comparison of our features with the largest providers, documented cases from other companies and a check of how robust your market view is today.
Provider comparison
136 features of the portfolio review, feature by feature against the largest providers of wealth management software. The methodology is disclosed.
Best practices
How companies across various sectors have brought market and sales intelligence into their operations: for each case, the task, the sources and the output format. The collection is growing.
Maturity check
How robust is your advisers' preparation? Four stages from gut feeling to evidenced: screening per portfolio, cadence, origin per statement and documentation in line with MiFID II.
Frequently asked questions
Does the AI employee make investment decisions?
No. It provides preparatory work, assessment and reasoning. The recommendation to the investor, the investment decision and the advisory obligation remain with your company. Under the EU AI Act, rating and risk classification are considered high-risk, which is why the starting point is the adviser.
How does MiFID II come into play?
Through the investor's life situation: goals, preferences and investment horizon count beyond the predefined risk category. The reasoning for why a recommendation is suitable is ready as a draft for the advisory documentation.
How can AI support investment advice?
Before the advisory meeting: screening portfolios, calculating scenarios, drafting the suitability statement and advisory documentation, gathering KYC documents. What many look for as digital investment advice or digital wealth management is preparation for the adviser here; the recommendation to the investor is given by the adviser.
Is this a MiFID II compliant software for wealth managers?
The AI employee works within your MiFID II process: the suitability check and documentation are prepared, while the review decision and the statement remain with the institution. Whether a process is compliant is the responsibility of the institution and its compliance function; what is delivered is the origin and robustness of each statement, so that this review is possible.
What obligations does the EU AI Regulation bring for wealth managers?
Creditworthiness assessment, rating and risk classification of natural persons are considered high-risk applications with documentation, oversight and transparency obligations. For this reason the AI employee starts with the adviser and makes no classification, and every work step is logged. The institution's obligations as the operator remain in place and are gone through during scoping with your compliance function.
Where does the data come from?
From several data providers, because no company relies on a single rating or data supplier. On the data side, there is a collaboration with Morningstar. Every statement openly carries its origin and its resilience.
How does the build start?
With a first conversation and a scoping workshop, which produces a role profile with a target profile, signals, volume estimate and delivery format. The build starts with one case, validated with the responsible specialist, then scaled. The contract can be cancelled monthly.
Where does operation take place?
Entirely in the EU. Transmission is encrypted, access is role-based, every step of work is logged.