Agentic Cash Forecasting for corporate groups: centrally manage liquidity with AI

Agentic Cash Forecasting for corporate groups: centrally manage liquidity with AI

Agentic Cash Forecasting for corporate groups: centrally manage liquidity with AI

From isolated units to genuine group-wide control



In many corporate groups, liquidity planning develops in a decentralised way. Each company prepares its own cash flow forecast, uses its own systems and works with individual assumptions. The group level then consolidates the results. This process is time-consuming, prone to errors and often delayed.

As complexity increases, the problem grows exponentially. The more local entities there are, the greater the data silos, coordination effort and transparency gaps become.

Flow was developed precisely for this environment.


Agentic Cash Forecasting with Flow means more than just a better forecast. It means group-wide, coordinated liquidity management across all companies.



The reality in multi-entity structures


In traditional setups, each local entity works with its own systems, its own data sources and its own processes. The local finance team knows its business, its stakeholders and its operational specifics. At the same time, this creates a fragmented information landscape at group level.


The central problem lies in the lack of transparency at group level regarding the underlying assumptions in local planning. As a rule, the central unit receives only the aggregated results, without insight into how they were derived or the assumptions on which they are based.


This makes it almost impossible to assess the quality of the planning in a sound way or to understand and classify the key drivers, risks and potential opportunities.


Other typical challenges in corporate groups with many companies are:

  • Data silos between ERP systems, banks and local tools

  • Time-consuming consolidation at group level (via TMS or planning software)

  • Delayed cash flow forecast updates

  • Different interpretations of policies

  • Lack of transparency over group-wide liquidity reserves


Often, the forecast is updated only irregularly. In dynamic environments, it is already out of date by the time it is consolidated. At the same time, tied-up liquidity in individual subsidiaries remains undiscovered, while other entities require external financing.


The result is a reactive treasury that responds to variances instead of actively managing liquidity.



How Flow operates across groups


Flow is not limited to a single company. The architecture is designed to natively reflect multi-entity structures.

Flow works at the level of each individual company, integrates local systems and takes account of specific business models, data structures and stakeholders. At the same time, it aggregates and harmonises all information at group level.

This creates a unified, consistent cash flow view across all units, as well as full transparency over the local business and the key planning assumptions.

Flow collects data automatically from ERP systems, bank interfaces and other sources. Each local entity retains its operational logic, but group-wide management takes place centrally, in a structured manner and in real time.

The benefits do not occur in isolation. They multiply across all companies.



From data silos to consolidated control


Without a group-wide architecture, typical efficiency losses arise.

Local entities create forecasts in their own central planning sheets in Excel. The group then consolidates them in a TMS. Each company requires personnel resources for cash flow planning. Forecasts are updated with a delay. Variances are analysed retrospectively.


With Flow, this process changes fundamentally.

Flow updates the forecast in real time across all companies. Changes in one entity become visible immediately. Contradictions between bank data and ERP information are automatically detected. Liquidity surpluses in one company can be identified and optimised internally within the group.

This turns isolated planning into active, group-wide management.




Real-time transparency instead of flying blind


In complex groups with twenty or more local entities, central treasury often loses sight of the bigger picture. Decisions are based on aggregated reports with a time lag.


Flow creates real-time transparency. If liquidity is unexpectedly tied up in a subsidiary, this becomes visible. If external financing could be avoided, Flow identifies intra-group offsetting opportunities. If forecast assumptions diverge, inconsistencies are flagged.

The group no longer acts reactively, but proactively.

Such effects scale with every additional entity.



Economies of scale in large corporate groups


The larger the corporate group, the stronger the group-wide logic becomes.

In structures with more than fifty local companies, coordination effort rises disproportionately. At the same time, the potential for internal optimisation grows.

Flow scales with this complexity.

Instead of tying up personnel resources per company for manual forecast processes, Flow automates data collection, consolidation and validation. Treasury staff can focus on strategic decisions, not on data preparation.

The effects multiply across all units:

  • Less manual coordination effort

  • Faster forecast updates

  • Better identification of intra-group liquidity

  • Reduction in external financing costs

  • Greater governance transparency


The added value does not arise in a single entity. It arises through group-wide connectivity.



From local planning to strategic group management


Flow does not replace local expertise. Each company retains its business model, its processes and its responsibilities. Flow integrates this reality and combines it into structured overall management.

The cash flow forecast is not only consolidated, but actively managed. Decisions at group level are based on consistent, up-to-date and traceable data.

This creates a new level of control.

What were once isolated units become a coordinated liquidity network.



Group-wide intelligence as a competitive advantage


In volatile markets, liquidity is strategic. Those with group-wide transparency can respond more quickly, allocate capital more efficiently and identify risks earlier.

Agentic Cash Forecasting with Flow means that the group no longer operates in the dark. It operates with a structured overview across all units.

Flow does not think only locally. Flow operates across the entire group. And that is precisely the difference between isolated planning and genuine, strategic liquidity management.



See in a short demo how a digital treasury employee works:




Photo by Kanhaiya Sharma on Unsplash


From isolated units to genuine group-wide control



In many corporate groups, liquidity planning develops in a decentralised way. Each company prepares its own cash flow forecast, uses its own systems and works with individual assumptions. The group level then consolidates the results. This process is time-consuming, prone to errors and often delayed.

As complexity increases, the problem grows exponentially. The more local entities there are, the greater the data silos, coordination effort and transparency gaps become.

Flow was developed precisely for this environment.


Agentic Cash Forecasting with Flow means more than just a better forecast. It means group-wide, coordinated liquidity management across all companies.



The reality in multi-entity structures


In traditional setups, each local entity works with its own systems, its own data sources and its own processes. The local finance team knows its business, its stakeholders and its operational specifics. At the same time, this creates a fragmented information landscape at group level.


The central problem lies in the lack of transparency at group level regarding the underlying assumptions in local planning. As a rule, the central unit receives only the aggregated results, without insight into how they were derived or the assumptions on which they are based.


This makes it almost impossible to assess the quality of the planning in a sound way or to understand and classify the key drivers, risks and potential opportunities.


Other typical challenges in corporate groups with many companies are:

  • Data silos between ERP systems, banks and local tools

  • Time-consuming consolidation at group level (via TMS or planning software)

  • Delayed cash flow forecast updates

  • Different interpretations of policies

  • Lack of transparency over group-wide liquidity reserves


Often, the forecast is updated only irregularly. In dynamic environments, it is already out of date by the time it is consolidated. At the same time, tied-up liquidity in individual subsidiaries remains undiscovered, while other entities require external financing.


The result is a reactive treasury that responds to variances instead of actively managing liquidity.



How Flow operates across groups


Flow is not limited to a single company. The architecture is designed to natively reflect multi-entity structures.

Flow works at the level of each individual company, integrates local systems and takes account of specific business models, data structures and stakeholders. At the same time, it aggregates and harmonises all information at group level.

This creates a unified, consistent cash flow view across all units, as well as full transparency over the local business and the key planning assumptions.

Flow collects data automatically from ERP systems, bank interfaces and other sources. Each local entity retains its operational logic, but group-wide management takes place centrally, in a structured manner and in real time.

The benefits do not occur in isolation. They multiply across all companies.



From data silos to consolidated control


Without a group-wide architecture, typical efficiency losses arise.

Local entities create forecasts in their own central planning sheets in Excel. The group then consolidates them in a TMS. Each company requires personnel resources for cash flow planning. Forecasts are updated with a delay. Variances are analysed retrospectively.


With Flow, this process changes fundamentally.

Flow updates the forecast in real time across all companies. Changes in one entity become visible immediately. Contradictions between bank data and ERP information are automatically detected. Liquidity surpluses in one company can be identified and optimised internally within the group.

This turns isolated planning into active, group-wide management.




Real-time transparency instead of flying blind


In complex groups with twenty or more local entities, central treasury often loses sight of the bigger picture. Decisions are based on aggregated reports with a time lag.


Flow creates real-time transparency. If liquidity is unexpectedly tied up in a subsidiary, this becomes visible. If external financing could be avoided, Flow identifies intra-group offsetting opportunities. If forecast assumptions diverge, inconsistencies are flagged.

The group no longer acts reactively, but proactively.

Such effects scale with every additional entity.



Economies of scale in large corporate groups


The larger the corporate group, the stronger the group-wide logic becomes.

In structures with more than fifty local companies, coordination effort rises disproportionately. At the same time, the potential for internal optimisation grows.

Flow scales with this complexity.

Instead of tying up personnel resources per company for manual forecast processes, Flow automates data collection, consolidation and validation. Treasury staff can focus on strategic decisions, not on data preparation.

The effects multiply across all units:

  • Less manual coordination effort

  • Faster forecast updates

  • Better identification of intra-group liquidity

  • Reduction in external financing costs

  • Greater governance transparency


The added value does not arise in a single entity. It arises through group-wide connectivity.



From local planning to strategic group management


Flow does not replace local expertise. Each company retains its business model, its processes and its responsibilities. Flow integrates this reality and combines it into structured overall management.

The cash flow forecast is not only consolidated, but actively managed. Decisions at group level are based on consistent, up-to-date and traceable data.

This creates a new level of control.

What were once isolated units become a coordinated liquidity network.



Group-wide intelligence as a competitive advantage


In volatile markets, liquidity is strategic. Those with group-wide transparency can respond more quickly, allocate capital more efficiently and identify risks earlier.

Agentic Cash Forecasting with Flow means that the group no longer operates in the dark. It operates with a structured overview across all units.

Flow does not think only locally. Flow operates across the entire group. And that is precisely the difference between isolated planning and genuine, strategic liquidity management.



See in a short demo how a digital treasury employee works:




Photo by Kanhaiya Sharma on Unsplash