Why Treasury Matters for Corporates

Digital transformation in treasury sounds impressive. In reality, it’s mostly about fixing what’s already broken, removing manual work, and making sure data actually makes sense before someone tries to build dashboards on top of it.

It’s not a single project. It’s an ongoing shift in how treasury operates, uses data, and makes decisions.

What Digital Transformation Really Means

Strip away the buzzwords, and digital transformation in treasury comes down to:

• Moving from manual to automated processes 
• Replacing fragmented systems with integrated ones 
• Improving data quality and availability 
• Enabling faster and more reliable decision-making 

It’s less about innovation and more about efficiency, control, and scalability.

Which is slightly less exciting to say, but far more accurate.

Why Treasury Needs It

Treasury complexity has increased:

• More entities and bank accounts 
• More currencies and markets 
• Higher transaction volumes 
• Increased regulatory pressure 

Manual processes don’t scale with that.

Digital transformation allows treasury to:

• Handle complexity without increasing headcount endlessly 
• Reduce operational risk 
• Improve visibility and control 
• Free up time for more strategic activities 

Without it, treasury becomes reactive and overloaded.

The Starting Point: Process Before Technology

The biggest misconception is that digital transformation starts with tools.

It doesn’t.

It starts with:

• Understanding current processes (the “as-is”) 
• Identifying inefficiencies and pain points 
• Defining what “good” looks like 

Only then does technology make sense.

Otherwise, you automate broken processes and call it progress.

Key Areas of Transformation

Most treasury transformation efforts focus on:

• Cash visibility and positioning
  Automating bank data collection and consolidation 
• Payments and connectivity
  Standardising payment processes and integrating with banks 
• Cash flow forecasting
  Improving data inputs and reducing manual consolidation 
• Risk management
  Better tracking and analysis of exposures 
• Reporting and analytics
  Moving from static reports to dynamic dashboards 

Each area contributes to a more efficient and controlled treasury setup.

Automation as a Core Driver

Automation removes repetitive tasks:

• Manual data entry 
• File uploads and downloads 
• Reconciliation work 
• Basic reporting 

This reduces:

• Errors 
• Processing time 
• Dependency on individuals 

And creates space for:

• Analysis 
• Decision-making 
• Strategic input 

At least in theory. In practice, someone still needs to monitor everything.

Integration: Connecting the Ecosystem

Transformation requires systems to work together:

• ERP systems 
• TMS 
• Banks 
• Data platforms 

This involves:

• Standardised data formats 
• Reliable connectivity 
• Consistent data definitions 

Integration is where most of the effort sits. And where most timelines quietly expand.

Data Quality: The Unavoidable Reality

No transformation succeeds without good data.

Treasury needs:

• Accurate bank data 
• Clean master data 
• Reliable forecast inputs 
• Consistent definitions across systems 

Poor data leads to:

• Incorrect reporting 
• Misleading forecasts 
• Loss of trust in systems 

Which then leads people straight back to Excel.

Change Management: The Hidden Challenge

Transformation is not just technical. It’s organisational.

It requires:

• User adoption 
• Training 
• Clear communication 
• Ongoing support 

People need to:

• Understand the new processes 
• Trust the outputs 
• Actually use the systems 

Otherwise, the “new way of working” quietly becomes the old way plus extra steps.

Measuring Success

Transformation success is not measured by:

• Number of systems implemented 
• Budget spent 

It’s measured by:

• Reduced manual effort 
• Improved data quality 
• Faster and better decisions 
• Increased control and visibility 

If those don’t improve, the transformation didn’t really happen.

Where It Goes Wrong

Some recurring issues:

• Starting with technology instead of processes 
• Underestimating data challenges 
• Lack of stakeholder involvement 
• Overly ambitious scope 
• Ignoring user adoption 

Most failures are not technical. They’re practical.

Treasury’s Role in Transformation

Treasury defines what needs to change and why.

It ensures:

• Solutions match real needs 
• Processes are improved, not just digitised 
• Data becomes usable and reliable 
• Transformation delivers actual value 

Because at the end of the day, digital transformation is not about being “digital.”

It’s about making treasury work better.

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In many companies, cash is scattered. Different entities, different countries, different banks. Some parts of the business are sitting on excess cash, while others are borrowing externally and paying interest.

From a treasury perspective, that’s inefficient. From a CFO perspective, slightly painful once you see the numbers.

Cash pooling and centralisation are about fixing that.

What Cash Pooling Actually Is

Cash pooling is a structure that allows companies to combine balances from multiple accounts, entities, or countries to manage liquidity more efficiently.

Instead of each entity operating in isolation, cash is viewed and managed at a group level.

There are two main types:

• Physical cash pooling (zero balancing)
  Cash is physically transferred between accounts, typically to a central header account 
• Notional cash pooling
  Balances remain in individual accounts, but are offset notionally for interest calculation purposes 

Both aim to reduce external borrowing and optimise the use of internal liquidity.

Why Companies Implement Cash Pooling

The benefits are straightforward:

• Reduced interest costs
  Surplus cash offsets deficits, reducing the need for external funding 
• Improved visibility
  Centralised view of cash across entities 
• Better control
  Treasury gains oversight and can manage liquidity actively 
• Operational efficiency
  Fewer manual transfers, more automated structures 

In short, you stop treating each entity as a separate island.

Centralisation Beyond Pooling

Cash pooling is often part of a broader centralisation strategy.

This can include:

• Centralised payment factories 
• In-house banking structures 
• Standardised bank account management 
• Centralised investment and funding decisions 

The goal is to move from fragmented local management to coordinated group-level control.

Legal and Tax Considerations

Here’s where the simple idea becomes more complex.

Cash pooling involves:

• Intercompany lending 
• Cross-border cash movements 
• Interest allocation between entities 

This creates legal and tax implications:

• Transfer pricing requirements 
• Withholding taxes 
• Regulatory restrictions 
• Local banking rules 

Treasury works closely with tax and legal teams to ensure structures are compliant and efficient.

Ignoring this part usually leads to problems later. Often with more paperwork than anyone enjoys.

Multi-Currency Challenges

Pooling becomes more complex when multiple currencies are involved.

Treasury needs to consider:

• FX exposure within the pool 
• Whether to pool per currency or cross-currency 
• Conversion costs and risks 

Some pools are single-currency. Others are multi-currency with FX overlays.

There is no one-size-fits-all solution. It depends on the company’s footprint and risk appetite.

Bank Structure and Selection

Not all banks support all pooling structures in all countries.

Treasury needs to:

• Select banks with the right capabilities 
• Align pooling structures with banking infrastructure 
• Ensure connectivity and reporting works properly 

Choosing the wrong setup creates operational friction. Which defeats the purpose of centralisation.

Implementation Complexity

Cash pooling is conceptually simple. Implementation is not.

Challenges include:

• Aligning multiple entities and stakeholders 
• Setting up legal agreements 
• Integrating systems and reporting 
• Managing local constraints 

It’s one of those projects that looks straightforward in a slide deck and then turns into a multi-month effort.

Sometimes longer.

Where It Goes Wrong

Some familiar issues:

• Overcomplicated structures that are hard to manage 
• Ignoring local legal or tax constraints 
• Lack of clarity on intercompany positions 
• Poor visibility into pool performance 
• Resistance from local entities losing control 

Most problems are not technical. They’re organisational and structural.

Treasury’s Role in Cash Pooling

Treasury designs and manages the structure.

It ensures:

• Liquidity is used efficiently across the group 
• External borrowing is minimised 
• Cash is visible and controllable 
• The structure remains compliant and scalable 

Done well, cash pooling creates immediate financial benefits.

Done poorly, it creates confusion, complexity, and a lot of internal discussions no one enjoys.

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Treasury is full of improvement ideas. Better systems, cleaner data, automated processes, more control, more visibility.

The problem is not identifying what needs to change. The problem is getting people to actually change it.

Change management in treasury is about turning good ideas into real, working improvements without breaking the day-to-day operation. Which, considering treasury runs payments, liquidity, and risk, is a bit like renovating a house while still living in it.

Why Change in Treasury Is Hard

Treasury sits in the middle of multiple dependencies:

• Banks 
• ERP systems 
• Internal stakeholders 
• External providers 
• Regulations and controls 

Changing one part often impacts several others. That creates hesitation.

Add to that:

• Limited resources 
• Competing priorities 
• Fear of operational disruption 

And suddenly, even obvious improvements get delayed.

Not because they’re wrong. Because they’re inconvenient.

What Drives Change in Treasury

Change usually comes from a few triggers:

• System limitations or legacy setups 
• Growth and increasing complexity 
• Regulatory requirements 
• Cost pressure 
• Need for better visibility and control 
• Digital transformation initiatives 

Sometimes change is proactive. More often, it’s reactive. Something breaks, becomes inefficient, or too risky to ignore.

Typical Treasury Change Projects

You’ll see recurring themes:

• Implementing or upgrading a TMS 
• Centralising cash through pooling or in-house banking 
• Improving cash flow forecasting 
• Automating payments and bank connectivity 
• Standardising processes across entities 
• Enhancing controls and compliance frameworks 

All of these sound logical. None of them are trivial.

The Gap Between Idea and Execution

Most treasury teams know what “good” looks like.

The gap is execution.

Projects fail or stall because:

• Scope is unclear or too ambitious 
• Data is inconsistent or incomplete 
• Stakeholders are not aligned 
• Responsibilities are not defined 
• Change impact is underestimated 

And then there’s the classic:
“We’ll fix it in the next phase.”

There is always a next phase.

The Human Factor

This is where most change efforts quietly collapse.

People are used to:

• Existing processes 
• Known workarounds 
• Personal ways of doing things 

Even if those processes are inefficient, they are familiar.

Change introduces:

• New systems 
• New responsibilities 
• Temporary disruption 
• Learning curves 

Without proper communication and involvement, resistance builds. Not openly. Subtly.

And subtle resistance is the hardest to manage.

Communication and Buy-In

Successful change requires:

• Clear explanation of why change is needed 
• Practical benefits, not abstract improvements 
• Early involvement of key users 
• Visible support from leadership 

People don’t resist change. They resist unclear or imposed change.

Treasury needs to translate technical improvements into business impact:

• Less manual work 
• Fewer errors 
• Better visibility 
• Faster decision-making 

Make it real, or it won’t stick.

Balancing Change and Continuity

Treasury cannot pause operations.

Payments need to go out
Cash needs to be monitored
Risks need to be managed

So change has to be phased:

• Parallel runs 
• Controlled rollouts 
• Testing and validation 
• Fallback options 

Rushing change increases risk. Moving too slowly reduces impact.

Finding the balance is part of the job.

Technology Is Not the Solution

This is where expectations often go wrong.

Buying a new system does not solve:

• Poor data quality 
• Unclear processes 
• Lack of ownership 

Technology enables improvement. It doesn’t create it.

Without process clarity and discipline, new systems simply replicate old problems in a more expensive environment.

Where It Goes Wrong

Some familiar patterns:

• Overestimating what technology will fix 
• Underestimating data and integration complexity 
• Lack of stakeholder engagement 
• No clear ownership of the project 
• Trying to change everything at once 

Most failed projects don’t fail technically. They fail organisationally.

Treasury’s Role in Change

Treasury often leads or heavily contributes to change initiatives.

It brings:

• Process understanding 
• Awareness of risks and dependencies 
• Practical constraints 
• Focus on control and efficiency 

A strong treasury function doesn’t just identify improvements. It ensures they are implemented in a way that actually works.

Because in treasury, a “partially working solution” is just another problem waiting to happen.

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Treasury runs on data. Not opinions, not assumptions, not “it should be fine.” Actual data.

Cash balances, exposures, forecasts, payments, positions. Every decision treasury makes depends on having the right data at the right time.

The problem is not a lack of data. It’s having too much of it, in too many places, with just enough inconsistency to make everything slightly unreliable.

Why Data Matters in Treasury

Treasury decisions are time-sensitive and financially impactful.

Without reliable data:

• Cash positions are unclear 
• Risks are miscalculated 
• Forecasts are inaccurate 
• Decisions are delayed or wrong 

With reliable data:

• Visibility improves 
• Control increases 
• Decisions are faster and more confident 

It’s not complicated. It’s just difficult to get right.

Types of Treasury Data

Treasury works with several key data sets:

• Bank data
  Balances, transactions, intraday movements 
• ERP data
  Payables, receivables, accounting entries 
• Forecast data
  Expected inflows and outflows 
• Market data
  FX rates, interest rates, pricing information 
• Master data
  Bank accounts, counterparties, payment details 

Each has its own source, structure, and timing. Bringing them together is where the challenge begins.

Data Quality: The Real Issue

Data quality is the foundation.

Good data is:

• Accurate 
• Complete 
• Timely 
• Consistent 

Poor data is:

• Incomplete 
• Duplicated 
• Outdated 
• Inconsistent across systems 

And poor data leads to:

• Incorrect reporting 
• Misleading forecasts 
• Loss of trust in systems 

Once trust is lost, people stop using the system and go back to manual workarounds.

Which defeats the entire purpose of having systems in the first place.

Reporting: Turning Data into Insight

Data on its own is not useful. It needs to be translated into insight.

Treasury reporting includes:

• Cash position reports 
• Liquidity forecasts 
• Exposure and risk reports 
• Working capital metrics 
• Investment and debt positions 

Good reporting:

• Is clear and consistent 
• Focuses on what matters 
• Supports decision-making 

Bad reporting:

• Overloads with information 
• Lacks clarity 
• Creates confusion 

There is a fine line between “comprehensive” and “unusable.” Many reports cross it.

Dashboards and Visualisation

Modern treasury increasingly uses dashboards.

These provide:

• Real-time or near real-time insights 
• Visual representation of key metrics 
• Easy access for stakeholders 

Dashboards can improve:

• Speed of decision-making 
• Accessibility of information 

But only if:

• The underlying data is reliable 
• The metrics are clearly defined 

Otherwise, you just get better-looking confusion.

Single Source of Truth

One of the main goals in treasury data management is creating a single source of truth.

This means:

• One consistent version of key data 
• Aligned definitions across systems 
• Reduced duplication 

Without it:

• Different reports show different numbers 
• Time is spent reconciling instead of analysing 
• Confidence in outputs decreases 

Achieving a single source of truth is harder than it sounds. It requires alignment across systems and teams.

Data Governance and Ownership

Data needs ownership.

This includes:

• Who maintains master data 
• Who validates inputs 
• Who ensures data quality 

Without clear ownership:

• Errors persist 
• Data becomes unreliable 
• Responsibility is unclear 

“Shared ownership” often leads to no ownership.

Frequency and Timeliness

Not all data needs to be real-time, but it does need to be timely.

Treasury decides:

• Which data needs real-time updates 
• Which can be daily or periodic 

Delays in data:

• Reduce relevance 
• Impact decision-making 

Too much real-time data without structure can also overwhelm.

Balance matters.

Where It Goes Wrong

Some familiar issues:

• Poor data quality across systems 
• Multiple versions of the truth 
• Overcomplicated reporting 
• Lack of ownership 
• Misaligned definitions 

These are not technology problems. They are organisational and process issues.

Treasury’s Role

Treasury defines:

• What data is needed 
• How it should be structured 
• How it is used in decision-making 

It ensures:

• Data supports operations and strategy 
• Reporting is meaningful and actionable 
• Systems are trusted 

Because in treasury, decisions are only as good as the data behind them.

And if the data is wrong, everything built on top of it is just confidently incorrect.

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Payments used to be straightforward. You had money, you sent it, done.

Now there are layers of regulation shaping how payments are initiated, authenticated, processed, and reported. Treasury sits right in the middle of this.

These frameworks are designed to make payments safer, more transparent, and more competitive. They also make them more complex.

Why Payments Are Regulated

Regulators focus on payments because they are:

• High volume 
• Cross-border 
• Prone to fraud and misuse 

The objectives are to:

• Increase security 
• Prevent fraud and financial crime 
• Improve transparency 
• Encourage competition and innovation 

For treasury, this means adapting processes to comply with evolving rules.

Key Payment Regulations

In Europe and beyond, treasury is impacted by frameworks such as:

• PSD2 and PSD3 (Payment Services Directive)
  Introducing stronger authentication, open banking, and increased transparency 
• SEPA regulations
  Standardising euro payments across participating countries 
• ISO20022 standards
  Defining structured payment data formats 
• Local payment regulations
  Country-specific rules on processing, reporting, and data 

Each of these influences how payments are executed and managed.

Strong Customer Authentication (SCA)

One of the most visible impacts of regulation is Strong Customer Authentication.

This requires:

• Multi-factor authentication 
• Additional verification steps for payment approval 

For treasury, this affects:

• Payment workflows 
• Approval processes 
• System configurations 

While it improves security, it can also:

• Slow down execution 
• Increase operational complexity 

Balancing security and efficiency becomes key.

Open Banking and APIs

Regulation has also driven innovation.

Open banking frameworks require banks to:

• Provide access to account data 
• Enable payment initiation via APIs 

This creates opportunities for treasury:

• Real-time data access 
• Improved integration 
• New payment solutions 

But it also introduces:

• New dependencies 
• Additional security considerations 

Because more connectivity means more potential points of failure.

Data Requirements and Standardisation

Payment regulations increasingly require:

• Structured data 
• Detailed payment information 
• Consistent formats 

ISO20022 is a key driver here.

It enables:

• Richer payment data 
• Better reconciliation 
• Improved transparency 

But it also requires:

• System updates 
• Data standardisation 
• Process adjustments 

Which, unsurprisingly, takes time.

Cross-Border Payments

Cross-border payments are subject to:

• Additional regulations 
• Reporting requirements 
• Compliance checks 

Treasury needs to consider:

• Local restrictions 
• Currency controls 
• Reporting obligations 

What looks like a simple international payment can involve multiple regulatory layers.

Fraud Prevention and Controls

Regulation pushes for stronger fraud prevention.

This includes:

• Verification of payee 
• Enhanced monitoring of transactions 
• Stricter approval processes 

Treasury integrates these into:

• Payment workflows 
• Supplier onboarding processes 
• Control frameworks 

Security improves. Friction increases. That’s the trade-off.

Impact on Treasury Operations

Payments regulation affects:

• System design 
• Process flows 
• Approval structures 
• Bank connectivity 

Treasury needs to:

• Stay informed on regulatory changes 
• Update processes accordingly 
• Ensure systems remain compliant 

Ignoring updates is not an option. Banks will enforce them anyway.

Where It Goes Wrong

Some common issues:

• Underestimating implementation effort 
• Poor data quality affecting compliance 
• Outdated systems unable to support new standards 
• Lack of coordination between IT, treasury, and compliance 
• Treating regulation as a one-time project 

Payment regulation evolves continuously. So do the requirements.

Treasury’s Role

Treasury ensures that payment processes:

• Comply with regulatory frameworks 
• Remain secure and efficient 
• Support business operations 

It translates regulation into practical processes.

Because in treasury, sending money is no longer just operational.

It’s regulated, structured, and continuously evolving.

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This is where sustainability becomes tangible for treasury. Not as a concept, but as actual decisions.

Sustainable Financing

One of the most visible roles of treasury in ESG is financing.

This includes:

• Green bonds
  Funding projects with environmental benefits 
• Sustainability-linked loans (SLLs)
  Financing where pricing is linked to ESG performance 
• ESG-linked credit facilities
  Incentivising improvements in sustainability metrics 

Treasury structures and executes these instruments.

This means:

• Working with banks and investors 
• Defining KPIs and targets 
• Ensuring alignment with corporate strategy 

It also means accepting that financing is no longer just about price, but also about purpose.

ESG in Investment Decisions

Treasury manages excess cash.

Increasingly, this includes considering:

• ESG ratings of counterparties 
• Sustainability of investment products 
• Risk of greenwashing 

The challenge:

• ESG data is not always consistent 
• Standards are still evolving 
• Trade-offs between yield and sustainability exist 

So treasury tends to move cautiously.

Because losing money in the name of sustainability is still… losing money.

ESG Risk Management

Sustainability introduces new types of risk:

• Climate risk
  Impact of environmental changes on business operations 
• Transition risk
  Financial impact of moving to a low-carbon economy 
• Reputational risk
  Being perceived as non-compliant or misleading 

Treasury needs to:

• Understand how these risks affect cash flows and funding 
• Integrate them into risk frameworks 
• Support scenario analysis 

It’s an extension of traditional risk management, just with different variables.

Data and Reporting

ESG requires reporting.

Treasury contributes data related to:

• Financing structures 
• Investments 
• Risk exposures 

This data feeds into:

• ESG reports 
• Investor communications 
• Regulatory disclosures 

Which brings us back to a familiar theme: data quality.

Because ESG reporting with poor data is just storytelling with numbers.

The Greenwashing Problem

One of the biggest challenges in ESG is credibility.

Not all “green” or “sustainable” products are what they claim to be.

Treasury needs to:

• Assess the credibility of ESG instruments 
• Understand underlying criteria 
• Avoid reputational risk 

This requires:

• Critical thinking 
• Not blindly following labels 

Which, in finance, should be standard anyway.

Where It Goes Wrong

Some familiar issues:

• Treating ESG as a marketing exercise 
• Lack of clear ESG strategy 
• Inconsistent data and reporting 
• Overpaying for “green” financing without real benefit 
• Ignoring trade-offs between sustainability and financial performance 

Sustainability adds complexity. It doesn’t remove financial discipline.

Treasury’s Role in Sustainable Finance

Treasury ensures that:

• ESG considerations are integrated into financial decisions 
• Sustainable financing is structured properly 
• Risks related to sustainability are understood 
• Data supports transparent reporting 

It doesn’t drive sustainability alone.

But it ensures that sustainability is financially grounded.

Which is slightly more useful than just putting it in a presentation.

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Not all risks come from markets moving. Some come from people, institutions, or simply timing.

A customer doesn’t pay. A bank becomes less reliable. Cash is in the wrong place at the wrong time. None of this requires a crisis headline to hurt a company.

These are the risks treasury manages daily. Less visible than FX or interest rates, but often more immediate.

Credit Risk: When Money Owed Doesn’t Arrive

Credit risk is the risk that a counterparty, typically a customer or financial institution, fails to meet its obligations.

For treasury, this includes:

• Large customer exposures 
• Deposits placed with banks 
• Investments in short-term instruments 

The key questions:

• How much exposure do we have to a single counterparty? 
• How reliable are they? 
• What happens if they don’t pay? 

High concentration increases vulnerability. If one large counterparty fails, the impact can be significant.

Treasury monitors:

• Credit ratings 
• Exposure limits 
• Payment behaviour 
• Concentration levels 

Because the problem with credit risk is that it often looks fine… until it suddenly isn’t.

Counterparty Risk: Beyond Just Customers

Counterparty risk goes beyond customers. It includes:

• Banks holding deposits 
• Financial institutions involved in hedging 
• Partners in financial transactions 

Even large, well-known institutions are not risk-free. History has made that painfully clear.

Treasury manages this by:

• Diversifying across institutions 
• Setting exposure limits per counterparty 
• Monitoring creditworthiness regularly 
• Using collateral or netting agreements where applicable 

It’s not about assuming failure. It’s about not being overly exposed if it happens.

Liquidity Risk: The Timing Problem

Liquidity risk is one of the most fundamental risks in treasury.

It’s not about whether the company is profitable. It’s about whether it has cash available when needed.

A company can be profitable and still face liquidity stress if:

• Cash inflows are delayed 
• Outflows are poorly timed 
• Funding is not accessible 
• Cash is trapped in certain entities or countries 

Liquidity risk is about timing, access, and flexibility.

Managing Liquidity

Treasury ensures liquidity by:

• Maintaining accurate cash visibility 
• Forecasting inflows and outflows 
• Securing committed credit facilities 
• Holding liquidity buffers 
• Structuring cash centrally where possible 

The goal is not to hold as much cash as possible. It’s to have sufficient and accessible liquidity without excessive idle balances.

Finding that balance is where experience comes in.

Trapped Cash and Accessibility

Not all cash is equal.

Cash held in:

• Restricted jurisdictions 
• Entities with legal limitations 
• Structures without efficient transfer mechanisms 

May not be readily available.

Treasury needs to understand:

• Where cash is located 
• Whether it can be moved 
• How quickly it can be accessed 

Because cash that cannot be used when needed does not solve liquidity problems.

Concentration Risk

One of the recurring themes across credit, counterparty, and liquidity risk is concentration.

Too much exposure to:

• One customer 
• One bank 
• One region 
• One funding source 

Increases vulnerability.

Diversification reduces risk, but introduces complexity. Treasury balances both.

Early Warning Signals

These risks rarely appear out of nowhere.

Warning signs include:

• Deteriorating payment behaviour 
• Changes in credit ratings 
• Increasing reliance on short-term funding 
• Reduced liquidity buffers 
• Operational issues with banks or counterparties 

Treasury monitors these indicators to act early, not react late.

Where It Goes Wrong

Some familiar patterns:

• Overconcentration in a few counterparties 
• Lack of visibility into exposures 
• Assuming large institutions are always safe 
• Underestimating liquidity needs 
• Ignoring access restrictions on cash 

Most of these issues build gradually. Then become urgent very quickly.

Treasury’s Role

Treasury ensures the company:

• Knows who it is exposed to 
• Limits dependency where needed 
• Maintains access to liquidity 
• Can withstand disruptions 

These risks don’t usually get attention when everything is stable.

But when something goes wrong, they become the only thing that matters.

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