AI-Powered Solutions analysis interface for automated liquidity management

Automated capital allocation for excess liquidity in medium-sized companies

AI-Powered Solutions distributes unused working capital according to fixed, algorithmically verified entry points - based on dollar-cost averaging and predictive analytics, instead of individual manual decisions.

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Control interface view: position overview, execution intervals and risk metrics in one environment.

Initial situation

Liquidity reserves lose value when decisions are postponed

Many SMEs hold cash on hand in excess of operational needs because market fluctuations make manual entry decisions difficult. The result: capital lies idle while inflation and lost returns reduce the real value.

AI-Powered Solutions takes over the ongoing assessment of market conditions and divides investments into predictable tranches. In this way, capital is used continuously, without a single point in time deciding on the entire amount.

AI-Powered Solutions Representation of capital distribution across several tranches
How it works

Three mechanisms that balance capital use and risk against each other

Each function works on the same market data but has its own purpose within the investment strategy.

Automated DCA

Tranche based investment

Fixed amounts are invested at recurring intervals, reducing the impact of short-term price fluctuations on the average price.

Predictive risk assessment

Predictive risk assessment

Models continually reassess volatility and market environments and adjust tranche sizes before capital is tied up.

Real-time processing

Continuous data evaluation

Market and liquidity data is processed in real time, so decisions are based on current rather than outdated information.

Methodology

A comprehensible process from data to execution

Every step is documented and can be tracked in reporting to keep decisions auditable for those responsible for finance.

1

Data collection

Market, volatility and liquidity data are merged from multiple sources and checked for consistency.

2

Model optimization

Prediction models evaluate possible entry points and assign them a risk-return profile.

3

Execution strategy

Execution is staggered according to defined tranche rules, with each transaction logged.

Use cases

Application scenarios for different capital strategies

Optimization of corporate liquidity

For treasury managers who want to put funds that are not needed in the short term to work without endangering operational liquidity. Tranche sizes are based on defined liquidity thresholds.

DCA Staggered capital commitment instead of one-off investment

Long-term capital accumulation

For companies with predictable surpluses over several quarters that aim to systematically build up assets instead of evaluating individual market points in time.

Ø Course Smoothing through regular entry points

Risk minimization strategies

For financial managers who want to cushion volatility peaks by automatically adjusting position sizes instead of manually reacting to market movements.

Risk Dynamic adjustment of the tranche size
Frequently asked questions

Technical and financial queries at a glance

How is company data protected?

Connection and account data are transmitted encrypted and used exclusively to calculate the investment strategy. Access is logged and is limited to authorized users in the company.

How understandable are the algorithm decisions?

Each execution is based on documented rules for carving and risk assessment. Decisions in reporting can be traced back to the underlying market data.

Which systems can be connected?

The platform can be connected to common accounting and treasury systems. The integration takes place via structured interfaces that are configured as part of the setup.

Capital efficiency starts with a robust analysis of your liquidity data

AI-Powered Solutions calculates an initial assessment of possible tranching strategies for your company based on your key figures.