Czy środki są bezpieczne w przypadku awarii systemu?

Kapitał pozostaje na rachunku zgodnym z obowiązującymi standardami przechowywania środków klienta. Dywersyfikacja portfela oraz algorytmy zabezpieczające działają jako warstwa dodatkowa, niezależna od infrastruktury przechowującej same środki.

Na jakiej podstawie AI podejmuje decyzje?

Decyzje wynikają z modeli predykcyjnych trenowanych na danych historycznych oraz z bieżącej analizy w czasie rzeczywistym. Każda reakcja systemu jest logowana wraz z parametrami, które ją wywołały, co pozwala na późniejszą weryfikację.

Jaki nakład czasu jest wymagany po stronie użytkownika?

Konfiguracja profilu ryzyka wymaga jednorazowej rozmowy i ustalenia parametrów. Po tym etapie system działa autonomicznie, a rola użytkownika ogranicza się do okresowego przeglądu raportów, nie do codziennego nadzoru.

mBank eKonto - risk analysis panel supported by artificial intelligence

AI platform for capital risk management

24/7 capital protection thanks to autonomous algorithmic optimization

mBank eKonto monitors markets and responds to changes in real time, without the need for daily supervision. The system works in the background while your attention is occupied with family and professional responsibilities.

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24/7 Continuous market monitoring

<1s The algorithm's response time to changing conditions

Methodology

Three technical layers behind capital protection

The mBank eKonto system is not based on one rule, but on three independent mechanisms operating in parallel. Each of them is responsible for a different stage of the decision-making process.

Predictive models

The algorithm analyzes historical and current data to estimate likely scenarios of asset value changes. It does not predict the future with certainty - it determines the distribution of risk on the basis of which decisions are made.

Real-time analysis

Incoming market data is processed without delay. If conditions deviate from the assumed risk corridor, the system records it immediately - regardless of the time or day of the week.

Automatic execution

The detected deviation initiates a protective action without human intervention. The decision is implemented immediately, eliminating the delay resulting from the need for a manual response.

Statics versus dynamics

Emotions versus data logic

Traditional approach	mBank eKonto approach
The decision is made manually, often under the influence of emotions	Model-based decision, not influenced by market sentiment
The reaction depends on the investor's availability	Response independent of time and location
Static allocation updated rarely	Dynamic allocation updated continuously

hours of daily supervision required from your side once you have set up your risk profile.

mBank eKonto - Data-Driven Decision Making Framework

Data transparency

Analytical modules working in parallel

Instead of one closed algorithm, the system consists of independent components. Each of them is responsible for a narrow scope of analysis, which makes it easier to verify and reduce the error of one model.

Sentiment

Market sentiment analysis

The model processes data from multiple information sources to assess the prevalence of buyer or seller sentiment in a given market segment.

Security

Volatility Shield

When volatility exceeds a set threshold, the module limits the portfolio's exposure before the fluctuations translate into permanent capital loss.

Structure

Diversification engine

The allocation is spread across asset classes with low correlation, reducing the impact of a single market event on the entire portfolio.

Practical scenario

The market changes direction when you pick up your child from school

In the evening, outside business hours, there is a sudden increase in volatility in one of the markets. The investor does not have access to the quotations - he is busy with family obligations and does not plan to check the market until the next day.

The volatility shield module records the deviation from the defined risk corridor and initiates exposure reduction according to a pre-defined profile. The decision is made without waiting for manual confirmation.

The next day, the investor receives a record of the event: what happened, what reaction was taken and what its parameters were. Surveillance takes place after the fact, not during the event.

Technical questions

Security and operational logic issues

Are the funds safe in the event of a system failure?

The capital remains in an account that complies with applicable client funds custody standards. Portfolio diversification and security algorithms act as an additional layer, independent of the infrastructure storing the funds themselves.

On what basis does AI make decisions?

Decisions result from predictive models trained on historical data and current real-time analysis. Each system reaction is logged along with the parameters that triggered it, which allows for later verification.

How much time is required on the user's side?

Configuring the risk profile requires a one-time conversation and setting parameters. After this stage, the system operates autonomously and the user's role is limited to periodic review of reports, not to daily supervision.

Next step

Start protecting your capital

The initial interview lasts approximately 20 minutes and is used to determine the risk profile appropriate to your situation. It does not require prior technical preparation.

Schedule an introductory conversation Go to technical documentation