
2025 as a Turning Point: How Corporate Treasury must strategically reinvent itself.
2025 as a Turning Point: How Corporate Treasury must strategically reinvent itself.
2025 as a Turning Point: How Corporate Treasury must strategically reinvent itself.

Why 2025 Was a Turning Point for Corporate Treasury
Looking back at 2025, one thing becomes unmistakably clear:
The treasury function in companies has reached a critical point.
Treasurers today face an unprecedented combination of challenges - volatile trade policies, changing tariffs, geopolitical fragmentation, and ongoing macroeconomic uncertainty. At the same time, the expectations of board members, CFOs, and investors are continuously rising. Treasury is no longer seen as merely an operational function but increasingly as a strategic nerve centre for liquidity, risk, and financial resilience.
Recent studies confirm this shift. An EY survey underscores what many organisations already know from their own experience: The role of the treasurer is becoming significantly more strategic. Yet, most treasury teams are still attempting to tackle the challenges of 2026 with a toolbox from 2010.
The result is a growing discrepancy between expectations and reality.
The Reality Gap in Today's Treasury Operating Models
Across industries and regions, treasury organisations are facing a structural 'operating model crisis.' While the complexity of business models has globally scaled, treasury capabilities have often not kept pace.
1. The HQ Bottleneck
Lean central units are expected to manage 50, 100, or more legal entities worldwide - often without significant local treasury resources. The headquarters becomes a bottleneck: It consolidates information, manages liquidity, and ensures compliance - across diverse markets and time zones.
2. The Operational Trap
Treasury leaders spend a disproportionately large part of their time on manual execution, reconciliation, and data cleaning. Spreadsheets, emails, and isolated solutions dominate the daily routine. The result: There is a lack of mental space for strategic tasks such as scenario planning, risk management, or capital optimisation.
3. Data Silos and Lack of Transparency
Fragmented system landscapes - ERP systems, TMS, banking portals, Excel files, and local tools - make a consistent, global real-time view of cash and liquidity nearly impossible. Data is delayed, inconsistent, or already outdated when decisions need to be made.
Collectively, this creates an ever-growing gap between what treasury is expected to deliver and what is realistically achievable with today's tools.
2026: The Year of the Treasury Agent
For years, the industry has talked about 'automation.' But automation alone is no longer sufficient.
We are now entering the age of digital employees.
Instead of static workflows or rule-based scripts, AI-powered agents act as experienced, knowledgeable resources working alongside human teams. They not only execute predefined steps – they analyse, prioritise, and act proactively.
At Flowzar, we understand treasury agents as a fundamental lever to close the gap between:
lean human teams and highly complex, global treasury structures.
These agents work continuously, across systems and borders – without additional organisational friction or headcount.

A Compelling Use Case: Agent-Based Cash Forecasting
Cash forecasting is one of the clearest examples of how a digital treasury workforce can immediately provide measurable value. Traditional forecasting approaches are based on static inputs, periodic updates, and high manual effort. An AI-powered treasury agent, however, follows a fundamentally different principle:
Proactive Data Collection and Validation
The agent continuously collects relevant data from ERP systems, bank feeds, files, and – where appropriate – also from communication channels. The data is automatically checked for consistency, and deviations and anomalies are identified and flagged without manual intervention.
Pattern Recognition and Real-Time Insights
Instead of retrospective reports, the agent continuously analyses cash flows and liquidity positions. Risks, patterns, and deviations are identified early and translated into concrete, actionable recommendations.
Simultaneous Local and Global Coverage
The agent works simultaneously at the individual entity and group level, ensuring no subsidiary, region, or currency position is overlooked.
The result is not only a more precise forecast, but an evolving, adaptive liquidity intelligence layer that continuously develops with new information.
The Bottom Line: High ROI, Lower Risk
The transition to a digital treasury workforce is not a technology experiment – it is a financial and strategic necessity.
Optimised Liquidity
Higher forecast accuracy enables more efficient capital allocation, reduces unused liquidity, and significantly improves financing decisions.
Operational Leverage
With the elimination of manual 'spreadsheet acrobatics,' operational effort and Opex drop significantly – without losing transparency or control.
Strategic Agility
Treasury evolves from reactive reporting ('What happened?') to forward-looking decision support ('What should we do next?').
Rethinking Treasury TOM 2030
As companies realign their Treasury Target Operating Model 2030, the central question has shifted. It is no longer about whether digital employees will become part of the treasury organisation.
The critical question is how quickly they can be deployed to deliver measurable value.
The future of treasury is neither fully automated nor purely human.
It is augmented.
If you would like to experience our digital employee "Flow" live or if this sounds like the missing piece in your finance team, then let's talk.
Photo by Tom Parkes on Unsplash
Why 2025 Was a Turning Point for Corporate Treasury
Looking back at 2025, one thing becomes unmistakably clear:
The treasury function in companies has reached a critical point.
Treasurers today face an unprecedented combination of challenges - volatile trade policies, changing tariffs, geopolitical fragmentation, and ongoing macroeconomic uncertainty. At the same time, the expectations of board members, CFOs, and investors are continuously rising. Treasury is no longer seen as merely an operational function but increasingly as a strategic nerve centre for liquidity, risk, and financial resilience.
Recent studies confirm this shift. An EY survey underscores what many organisations already know from their own experience: The role of the treasurer is becoming significantly more strategic. Yet, most treasury teams are still attempting to tackle the challenges of 2026 with a toolbox from 2010.
The result is a growing discrepancy between expectations and reality.
The Reality Gap in Today's Treasury Operating Models
Across industries and regions, treasury organisations are facing a structural 'operating model crisis.' While the complexity of business models has globally scaled, treasury capabilities have often not kept pace.
1. The HQ Bottleneck
Lean central units are expected to manage 50, 100, or more legal entities worldwide - often without significant local treasury resources. The headquarters becomes a bottleneck: It consolidates information, manages liquidity, and ensures compliance - across diverse markets and time zones.
2. The Operational Trap
Treasury leaders spend a disproportionately large part of their time on manual execution, reconciliation, and data cleaning. Spreadsheets, emails, and isolated solutions dominate the daily routine. The result: There is a lack of mental space for strategic tasks such as scenario planning, risk management, or capital optimisation.
3. Data Silos and Lack of Transparency
Fragmented system landscapes - ERP systems, TMS, banking portals, Excel files, and local tools - make a consistent, global real-time view of cash and liquidity nearly impossible. Data is delayed, inconsistent, or already outdated when decisions need to be made.
Collectively, this creates an ever-growing gap between what treasury is expected to deliver and what is realistically achievable with today's tools.
2026: The Year of the Treasury Agent
For years, the industry has talked about 'automation.' But automation alone is no longer sufficient.
We are now entering the age of digital employees.
Instead of static workflows or rule-based scripts, AI-powered agents act as experienced, knowledgeable resources working alongside human teams. They not only execute predefined steps – they analyse, prioritise, and act proactively.
At Flowzar, we understand treasury agents as a fundamental lever to close the gap between:
lean human teams and highly complex, global treasury structures.
These agents work continuously, across systems and borders – without additional organisational friction or headcount.

A Compelling Use Case: Agent-Based Cash Forecasting
Cash forecasting is one of the clearest examples of how a digital treasury workforce can immediately provide measurable value. Traditional forecasting approaches are based on static inputs, periodic updates, and high manual effort. An AI-powered treasury agent, however, follows a fundamentally different principle:
Proactive Data Collection and Validation
The agent continuously collects relevant data from ERP systems, bank feeds, files, and – where appropriate – also from communication channels. The data is automatically checked for consistency, and deviations and anomalies are identified and flagged without manual intervention.
Pattern Recognition and Real-Time Insights
Instead of retrospective reports, the agent continuously analyses cash flows and liquidity positions. Risks, patterns, and deviations are identified early and translated into concrete, actionable recommendations.
Simultaneous Local and Global Coverage
The agent works simultaneously at the individual entity and group level, ensuring no subsidiary, region, or currency position is overlooked.
The result is not only a more precise forecast, but an evolving, adaptive liquidity intelligence layer that continuously develops with new information.
The Bottom Line: High ROI, Lower Risk
The transition to a digital treasury workforce is not a technology experiment – it is a financial and strategic necessity.
Optimised Liquidity
Higher forecast accuracy enables more efficient capital allocation, reduces unused liquidity, and significantly improves financing decisions.
Operational Leverage
With the elimination of manual 'spreadsheet acrobatics,' operational effort and Opex drop significantly – without losing transparency or control.
Strategic Agility
Treasury evolves from reactive reporting ('What happened?') to forward-looking decision support ('What should we do next?').
Rethinking Treasury TOM 2030
As companies realign their Treasury Target Operating Model 2030, the central question has shifted. It is no longer about whether digital employees will become part of the treasury organisation.
The critical question is how quickly they can be deployed to deliver measurable value.
The future of treasury is neither fully automated nor purely human.
It is augmented.
If you would like to experience our digital employee "Flow" live or if this sounds like the missing piece in your finance team, then let's talk.
Photo by Tom Parkes on Unsplash