Kunewerk AI analysis interface for visualizing capital flows and market entry points
Liquidity optimization · AI-supported

Working capital is invested automatically instead of sitting there without interest.

Kunewerk AI analyzes market data in real time, determines entry points using an AI-optimized dollar-cost averaging model, and executes allocations automatically — within your company's predefined risk limits.

Initial situation

Unused capital loses real value every month.

Many GmbH and UG accounts hold liquidity reserves that exceed the operational minimum. Without a structured process, this capital remains in current money or business accounts while market entries are checked manually and irregularly.

  • 01
    Interest-free reservesExcess liquidity is held in accounts with little or no interest, often for months.
  • 02
    Manual market timingEntry decisions are based on individual observations instead of continuous data evaluation.
  • 03
    Limited monitoring capacityManagement rarely has the time to observe markets on a daily basis and continually adjust positions.
  • 04
    Unstructured decision makingIndividual decisions under time pressure more often lead to suboptimal entry times than rule-based processes.

Illustrative comparison — capital utilization over 12 months

Unchanged 18%
Invested manually 46%
AI optimized 74%

Values serve to illustrate capital utilization and do not represent a guaranteed return.

Methodology

DCA automation with ongoing entry point assessment.

Instead of a single one-off decision, the system distributes allocations over defined intervals and adjusts timing and volume based on ongoing market data analysis.

Step 1

Establish liquidity framework

Companies define minimum reserves, time horizons and maximum risk exposure before activation.

Step 2

Market and data analysis

The model continuously evaluates price, volatility and volume data.

Step 3

Entry point scoring

Intervals are prioritized based on market conditions rather than rigidly allocating based on calendar days.

Step 4

Automated execution

Assignments are made within the defined risk limits, logged and traceable.

Why rule-based DCA instead of a one-time investment

One-off entries depend on the time chosen. Distributed allocations over multiple intervals reduce this dependency by spreading capital across different market phases. The AI ​​component slightly shifts volume within the interval towards more favorable rated entry windows without changing the overall risk of the schedule.

Components used

Predictive models Risk-adjusted allocation Real-time data analysis Rules-based execution
Range of functions

Predictive analytics and risk parameters in detail.

The following overview shows central functional areas and the underlying parameters with which the system works.

Function Description Parameters
Entry point scoring Evaluate market phases to prioritize allocation windows within the DCA plan. Continuously active
Volatility analysis Ongoing evaluation of price fluctuations to adjust the position size per interval. Real time
Risk limit control Maximum exposure per asset class is limited according to company specifications. Configurable
Reserve protection limit The defined minimum level of liquid assets remains unaffected by allocations. Permanently deposited
Logging Each automated execution is documented with a time stamp and justification. Audit-proof
Scenario simulation Historical data sets are used to simulate alternative allocation paths before activation. On request
Use cases

Three typical application scenarios for corporations.

The following scenarios show examples of how companies can structure different liquidity reserves. Information is based on simulations, not guaranteed results.

Reserve management

Free reserves above the operating minimum reserve are allocated gradually over 12 months.

interval14 days
horizon12 months

Simulated effect: more even capital utilization compared to a one-time entry.

Build up tax provisions

Funds earmarked for tax payments are conservatively allocated until they are due.

Risk profileLow
Reserve limitFix

Simulated effect: predictable availability on the due date.

Optimize liquidity buffers

Part of the liquidity buffer is allocated in phases of more favorable valuation according to the scoring model.

intervalVariable
ScoringActive

Simulated effect: reduced time dependency of the entrances.

About Kunewerk AI

An analysis process, not an individual decision.

Kunewerk AI was developed for companies that want to use operational liquidity in a structured manner without having to monitor the market on a daily basis. The system combines rules-based dollar-cost averaging with a modeling component that prioritizes entry windows based on ongoing data analysis.

Decisions remain comprehensible: every assignment is logged, every risk limit can be configured and viewed by the company.

More about the company
Kunewerk AI team developing the analysis and decision models
Transparency

Questions about security, data and model logic.

Company data is used exclusively for configuring and executing the liquidity strategy. Access rights are restricted based on roles and transmissions are encrypted. No data will be passed on to third parties for advertising purposes.

How does the model make decisions about entry points?

Scoring is based on ongoing evaluation of price and volatility data within the interval specified by the company. It does not move volume outside of defined risk limits, but simply prioritizes timing within a window.

What happens to the minimum reserve?

The set reserve protection limit is completely excluded from automated allocations and is checked before each execution.

How is company data stored?

Data is stored encrypted and processed exclusively for the functionality of the platform. Access logs are clearly documented.

Can the strategy be paused at any time?

Yes. Automated assignments can be paused or adjusted by the company at any time without affecting assignments that have already been carried out.

Is there a guarantee of returns?

No. The platform optimizes the capital allocation process, but does not make any predictions about future market developments. Investing involves risks, including loss of capital.

Next step

Use liquidity in a structured manner instead of leaving it unchanged.

Arrange a system demo or activate your account directly to set reserve, risk limits and time horizon.

Note: Kunewerk AI provides automated capital allocation software and does not provide individual investment, tax or legal advice. Investing involves risks, including loss of capital invested. Past simulations do not allow any conclusions to be drawn about future results.