Recommendation Engine · Coming soon

    The next best action for every client conversation

    Real-time in the advisor’s workflow, based on the client’s actual need, with the licensed human always deciding.

    Real-time
    recommendations during meetings
    AI analysis
    of the client profile
    Your workflow
    no changes required

    The problem

    Why current advisory practices fall short

    Advisors cannot know every product

    The financial product portfolio is vast and keeps growing. A single advisor can hold only a fraction in mind.

    Preparing recommendations takes time

    Manual analysis of client needs, browsing product sheets and drafting a proposal takes hours instead of minutes.

    Untapped potential

    Without data-driven recommendations, part of the product portfolio is systematically underutilised.

    How it works

    How it works

    1

    Enter the client profile

    Age, goals, risk profile, existing products. The system saves the profile instantly.

    2

    AI analyses and matches

    The engine compares the client profile against the entire product portfolio and identifies the best matches.

    3

    Receive concrete recommendations

    A ranked list of products with justification for each suggestion, ready to present to the client.

    Illustration only. Not a real client, not real products, not advice.
    Sample profile: age 45, conservative risk appetite
    Conservative bond fund
    Low risk, stable return, matches a conservative risk profile.
    92% match
    Instant-access savings account
    Liquid reserve with above-inflation interest.
    84% match
    Term life cover
    Covers a protection gap for dependants.
    71% match

    What you get

    What you get

    Real-time recommendations

    Results instantly, during the client meeting.

    Compliance-ready

    The engine respects regulatory constraints automatically.

    Connected to your products

    The engine works with your current product portfolio. No generic recommendations.

    Performance analytics

    Track which recommendations lead to closed deals.

    Be among the first

    Recommendation Engine is in development — sign up and get access to the beta version first.

    or write to jan.kluz@emable.ai