Treasury and Financial Planning & Analysis (FP&A)

Treasury and Financial Planning & Analysis (FP&A)

On paper, treasury and FP&A are best friends. In reality, they’re more like colleagues who technically work together but occasionally question each other’s life choices.

FP&A builds the financial story of the company. Revenue forecasts, cost projections, budgets, scenarios. Treasury looks at that story and asks one very inconvenient question:

“Nice. But when does the cash actually hit the bank?”

That’s where the real interaction starts.

Two Perspectives on the Same Reality

FP&A focuses on profitability and performance. It works largely on an accrual basis. Revenue is recognised when earned, costs when incurred.

Treasury focuses on liquidity. Actual cash in and out. Timing matters. A lot.

A company can be profitable on paper and still run into liquidity issues if cash inflows are delayed or outflows are poorly managed. This is where treasury brings a level of realism that sometimes disrupts beautifully crafted forecasts.

Not to be annoying. Just necessary.

Cash Flow Forecasting: Where It All Comes Together

Cash flow forecasting sits right at the intersection of treasury and FP&A.

FP&A provides the input:

  • Revenue forecasts 
  • Cost expectations 
  • Investment plans 
  • Business assumptions 

Treasury translates that into:

  • Expected cash inflows and outflows 
  • Liquidity positions over time 
  • Funding requirements 
  • Potential shortfalls or surpluses 

This translation is where things often get… interesting.

Because assumptions that look fine in a P&L don’t always translate cleanly into cash:

  • Revenue booked doesn’t mean cash received 
  • Costs incurred don’t mean cash paid immediately 
  • Capex plans rarely follow perfect timelines 

Treasury adjusts for timing, payment terms, seasonality, and real-world behaviour. The result is a cash forecast that reflects how money actually moves.

Or at least tries to.

The Accuracy Problem

Everyone wants accurate forecasts. Few are willing to admit how difficult that actually is.

Cash flow forecasting depends on:

  • Data quality 
  • Input from multiple departments 
  • Consistent assumptions 
  • Discipline in updates 

One late input from sales, one overly optimistic assumption, and the forecast starts drifting away from reality.

Treasury often ends up chasing inputs, validating numbers, and explaining variances. FP&A, on the other hand, is trying to keep the bigger picture aligned.

Neither side is wrong. They just operate at different levels of detail.

Scenario Planning and Stress Testing

This is where the collaboration becomes more strategic.

FP&A builds scenarios:

  • Base case 
  • Upside case 
  • Downside case 

Treasury tests them from a liquidity perspective:

  • Can we fund this scenario? 
  • Do we breach any covenants? 
  • Do we need additional financing? 
  • How long can we sustain a downturn? 

This combination turns abstract scenarios into actionable insights.

A growth plan might look great until treasury shows it requires funding that isn’t secured yet. A downside scenario might look manageable until treasury highlights a liquidity gap in month three.

Not always fun conversations. Usually very useful ones.

Working Capital: The Shared Battlefield

Working capital is where treasury and FP&A constantly overlap.

Receivables, payables, inventory. These directly impact both profitability and liquidity.

FP&A monitors performance metrics:

  • Days Sales Outstanding (DSO) 
  • Days Payables Outstanding (DPO) 
  • Inventory turnover 

Treasury looks at:

  • Actual cash conversion 
  • Timing of inflows and outflows 
  • Liquidity impact of working capital changes 

Improving working capital is one of the fastest ways to unlock cash. It’s also one of the hardest, because it involves multiple departments and competing priorities.

Sales wants to sell. Procurement wants discounts. Operations wants buffer stock. Treasury just wants the cash to show up on time.

Data, Systems, and Reality

Both treasury and FP&A rely heavily on data. And both suffer when that data is fragmented or inconsistent.

Different systems
Different definitions
Different timing assumptions

Without alignment, you end up with:

  • Multiple versions of the truth 
  • Endless reconciliation exercises 
  • Reduced confidence in forecasts 

This is where integration between ERP, TMS, and reporting tools becomes critical. Not because it sounds impressive, but because it reduces friction and improves decision-making.

Where It Goes Wrong

Predictably, a few recurring issues show up:

  • Treasury involved too late in planning cycles 
  • FP&A forecasts not translated into cash impact 
  • Overly optimistic assumptions not challenged 
  • Lack of ownership for forecast inputs 
  • No feedback loop between forecast and actuals 

The result is a disconnect between strategy and liquidity. And that’s exactly where problems start.

Treasury’s Role in the Bigger Picture

A strong treasury function doesn’t just report cash positions. It challenges assumptions, adds timing insight, and ensures that strategic plans are financially executable.

FP&A tells you where the business is going. Treasury tells you whether you can actually get there without running out of fuel.

Put those two together properly, and decision-making improves significantly.

Keep them disconnected, and you’ll eventually run into surprises. Usually at the worst possible moment.



SEO Keywords

Treasury and FP&A, cash flow forecasting treasury, liquidity planning corporate treasury, FP&A treasury collaboration, working capital management treasury, cash vs profit differences, treasury forecasting accuracy, corporate finance planning treasury

Read more about this

The Role of Automation and AI in Treasury

Automation and AI are often presented as the future of treasury. In practice, they’re already here, just not always in the smooth, magical way vendors like to suggest.

At their core, both aim to reduce manual work, improve accuracy, and support better decision-making. The difference is that automation follows rules, while AI tries to learn patterns.

Both are useful. Neither replaces thinking.

What Automation in Treasury Actually Means

Automation is about removing repetitive, rule-based tasks.

Typical examples:

  • Importing and processing bank statements 
  • Matching transactions for reconciliation 
  • Executing payment files 
  • Updating cash positions 
  • Generating standard reports 

These are tasks that:

  • Follow predictable steps 
  • Require consistency 
  • Are prone to human error when done manually 

Automation handles them faster and with fewer mistakes.

Assuming it’s set up properly. Which is where the fun begins.

Benefits of Automation

Done well, automation delivers:

  • Reduced manual effort 
  • Fewer operational errors 
  • Faster processing times 
  • More consistent outputs 

Which leads to:

  • Better control 
  • Improved efficiency 
  • More time for analysis and decision-making 

At least in theory. In practice, treasury often reinvests that time into fixing other issues. Still useful.

Robotic Process Automation (RPA)

RPA sits somewhere between manual work and full system integration.

It mimics human actions:

  • Clicking through systems 
  • Extracting data 
  • Moving information between platforms 

It’s useful when:

  • Systems are not fully integrated 
  • Quick solutions are needed 
  • Processes are stable but manual 

It’s less useful when:

  • Processes frequently change 
  • Data is inconsistent 

Because then your “robot” breaks and someone has to fix it. Usually quickly.

AI in Treasury: What It Actually Does

AI goes beyond rules and tries to identify patterns in data.

Use cases include:

  • Cash flow forecasting
    Improving predictions based on historical patterns 
  • Anomaly detection
    Identifying unusual transactions or potential fraud 
  • Data classification
    Categorising transactions automatically 
  • Forecast variance analysis
    Highlighting where and why forecasts deviate 

AI doesn’t magically know the future. It works with the data it has.

Good data, useful insights
Bad data, more sophisticated confusion

Automation vs AI

It helps to keep expectations realistic:

  • Automation
    Rule-based, predictable, stable
    Best for repetitive operational tasks 
  • AI
    Data-driven, adaptive, probabilistic
    Best for analysis, prediction, and pattern recognition 

Most treasury functions start with automation. AI comes later, once data and processes are mature enough.

Skipping that order usually leads to disappointment.

The Data Dependency

Both automation and AI rely heavily on data.

They need:

  • Consistent formats 
  • Clean inputs 
  • Reliable sources 

If data is:

  • Incomplete 
  • Inconsistent 
  • Delayed 

Then:

  • Automation fails or produces errors 
  • AI produces unreliable outputs 

Technology doesn’t fix bad data. It amplifies it.

Integration with Existing Systems

Automation and AI don’t exist in isolation.

They need to connect with:

  • ERP systems 
  • TMS 
  • Banks 
  • Data platforms 

This creates dependencies:

  • System compatibility 
  • Data flows 
  • Maintenance requirements 

Without proper integration, automation becomes fragmented and AI becomes underutilised.

The Human Factor

Despite all the technology, people remain essential.

Treasury professionals:

  • Define processes 
  • Set rules and parameters 
  • Validate outputs 
  • Handle exceptions 

Automation reduces workload. It doesn’t eliminate responsibility.

And when something goes wrong, people still need to understand what happened.

Where It Goes Wrong

Some familiar issues:

  • Automating poorly designed processes 
  • Overestimating what AI can deliver 
  • Ignoring data quality 
  • Lack of ownership and maintenance 
  • Building solutions no one fully understands 

Most problems are not about technology. They’re about expectations and execution.

Treasury’s Role

Treasury decides:

  • What to automate 
  • Where AI adds value 
  • How processes should work 
  • What level of control is required 

It ensures that:

  • Technology supports operations 
  • Risks remain managed 
  • Outputs are trusted 

Because at the end of the day, automation and AI are tools.

And tools are only as useful as the way they’re used.



SEO Keywords

treasury automation, AI in treasury, robotic process automation treasury, cash flow forecasting AI, treasury process automation, AI fraud detection treasury, treasury data automation, automation tools corporate treasury

Treasury’s Role in Mergers & Acquisitions

Mergers and acquisitions are rarely just about buying or combining companies. They are about integrating financial realities that were never designed to work together.

Different systems, different banks, different currencies, different processes. Treasury walks into this and is expected to make it all function smoothly. Quickly.

Because once the deal closes, nobody wants to hear “we’re still figuring out the cash position.”

Pre-Deal: The Part Everyone Rushes

Treasury should be involved before the deal is signed. Not after. Yet somehow, it often gets pulled in late, when most decisions are already made and only execution is left.

At the pre-deal stage, treasury focuses on:

  • Understanding the target’s cash and debt position 
  • Identifying existing banking relationships and structures 
  • Assessing FX, interest rate, and liquidity risks 
  • Reviewing funding requirements for the transaction 
  • Evaluating potential constraints, like trapped cash or local regulations 

This input influences:

  • How the deal is financed 
  • Whether additional facilities are needed 
  • What risks need to be managed from day one 

Skip this step, and you inherit surprises. Usually expensive ones.

Deal Financing: Getting the Money in Place

Acquisitions need funding. That can come from:

  • Existing cash reserves 
  • New debt facilities 
  • Bridge financing 
  • Capital markets 

Treasury structures the financing in a way that:

  • Aligns with the company’s capital structure 
  • Maintains sufficient liquidity buffers 
  • Avoids excessive refinancing risk 
  • Keeps flexibility for future moves 

Timing matters. Market conditions matter. Execution matters even more.

Because once the deal is announced, everyone assumes the funding is already sorted. It better be.

Day One: The Illusion of Control

Closing the deal is not the finish line. It’s the starting point of integration.

On day one, treasury needs to answer basic but critical questions:

  • Where is the cash? 
  • Which accounts are active? 
  • Who has access and signing authority? 
  • What payments are due? 
  • What risks are already on the books? 

If that visibility isn’t there, control is an illusion.

Day one priorities typically include:

  • Securing access to bank accounts 
  • Ensuring payment continuity 
  • Establishing minimum cash visibility 
  • Managing immediate liquidity needs 

It’s not glamorous work. It is essential.

Post-Merger Integration: Where the Real Work Starts

Integration is where treasury earns its keep.

The goal is to move from two separate setups to one coherent structure. That involves:

  • Rationalising bank accounts and banking partners 
  • Integrating cash into existing pooling or centralisation structures 
  • Aligning payment processes and controls 
  • Consolidating cash visibility and reporting 
  • Integrating systems (ERP, TMS, bank connectivity) 

This doesn’t happen overnight. And trying to rush it usually creates more issues than it solves.

FX and Risk Management

Acquisitions often introduce new currencies and exposures.

Treasury needs to:

  • Identify new FX risks 
  • Decide on hedging strategies 
  • Align policies across entities 
  • Integrate exposures into existing risk frameworks 

Ignoring this early can lead to unmanaged volatility hitting the P&L later. Which tends to get attention, just not the kind anyone wants.

Debt and Covenant Management

The acquisition may introduce:

  • New debt structures 
  • Additional covenants 
  • Changes in leverage ratios 

Treasury monitors:

  • Covenant headroom 
  • Refinancing timelines 
  • Impact on credit ratings 

Because breaching a covenant is one of those things that escalates very quickly.

Systems and Data Integration

Systems are often underestimated in M&A.

Different ERPs
Different TMS setups
Different data structures

Treasury needs to:

  • Align data definitions 
  • Integrate reporting 
  • Ensure consistent cash visibility 

Without this, decision-making becomes slower and less reliable.

Where It Goes Wrong

A few recurring issues:

  • Treasury involved too late in the process 
  • Poor visibility into the target’s cash and debt 
  • Underestimating integration complexity 
  • Maintaining parallel banking structures for too long 
  • Lack of clear ownership during integration 

Most of these are avoidable. They just require planning and, ideally, early involvement.

Treasury’s Real Role in M&A

Treasury doesn’t decide which company to acquire. It makes sure the acquisition actually works from a financial and operational perspective.

It ensures:

  • Funding is in place 
  • Liquidity is maintained 
  • Risks are identified and managed 
  • Integration is structured and controlled 

Without treasury, an acquisition might still close.

With treasury properly involved, it has a much better chance of succeeding.

Which is slightly more useful than just celebrating the deal announcement.



SEO Keywords

treasury M&A role, mergers and acquisitions treasury, treasury integration post merger, acquisition financing treasury, treasury due diligence M&A, cash management M&A integration, FX risk acquisition treasury, treasury role in deal execution

Working Capital Management

Working capital is the fuel of day-to-day operations. It sits in receivables, payables, and inventory. Manage it well, and you free up cash without borrowing a single euro. Manage it poorly, and you’ll be funding your own inefficiencies.

Treasury doesn’t “own” working capital, but it feels the consequences of it every single day.

What Working Capital Actually Is

Working capital is the difference between:

  • Current assets (mainly receivables and inventory) 
  • Current liabilities (mainly payables) 

In simple terms:

  • Money owed to you 
  • Money you owe others 
  • Inventory sitting in between 

All of this directly impacts cash.

The Three Core Components

Working capital is driven by three elements:

  • Accounts Receivable (AR)
    How quickly customers pay 
  • Accounts Payable (AP)
    How quickly you pay suppliers 
  • Inventory
    How long goods sit before being sold 

Each component pulls in a different direction.

Speed up receivables, you improve cash
Delay payables, you preserve cash
Reduce inventory, you free up cash

Sounds easy. It isn’t, because each one affects another part of the business.

Key Metrics

To measure working capital performance:

  • DSO (Days Sales Outstanding)
    How long it takes to collect from customers 
  • DPO (Days Payables Outstanding)
    How long it takes to pay suppliers 
  • DIO (Days Inventory Outstanding)
    How long inventory is held 

Together, they form the cash conversion cycle (CCC):

  • How long cash is tied up in operations 

Shorter cycle = better liquidity
Longer cycle = more cash tied up

The Internal Tug-of-War

This is where it gets interesting.

  • Sales wants flexible payment terms to win deals 
  • Procurement wants early payment discounts 
  • Operations wants inventory buffers to avoid shortages 

All perfectly reasonable. Individually.

Collectively, they tie up cash.

Treasury sits in the middle, trying to balance:

  • Commercial objectives 
  • Operational needs 
  • Liquidity impact 

Not always a popular role.

Improving Receivables

Faster collections improve cash flow.

This can be achieved through:

  • Clear payment terms 
  • Active credit management 
  • Efficient invoicing processes 
  • Strong follow-up on overdue payments 

In theory, everyone agrees with this. In practice, chasing customers is rarely anyone’s favourite activity.

Managing Payables

Extending payment terms improves liquidity.

Treasury works with procurement to:

  • Negotiate longer payment terms 
  • Align payment cycles 
  • Avoid unnecessary early payments 

But push too hard, and you strain supplier relationships.

Again, balance.

Optimising Inventory

Inventory ties up cash without generating immediate return.

Reducing it requires:

  • Better demand forecasting 
  • Efficient supply chain management 
  • Alignment between operations and sales 

Treasury doesn’t manage inventory directly, but highlights the financial impact.

Because excess inventory is basically cash sitting on a shelf.

Working Capital as a Funding Lever

Improving working capital is often the fastest way to release cash.

Unlike external funding:

  • No interest cost 
  • No negotiations with banks 
  • Immediate impact 

That’s why it’s often referred to as “hidden liquidity.”

The challenge is that it requires coordination across multiple departments.

Which means it’s simple in theory, complex in execution.

Where It Goes Wrong

Some recurring issues:

  • Lack of ownership across departments 
  • Misaligned incentives (sales vs cash) 
  • Poor visibility into working capital metrics 
  • Inconsistent payment terms 
  • Excess inventory due to weak planning 

Most of these are organisational, not technical.

Treasury’s Role in Working Capital

Treasury acts as the connector.

It:

  • Highlights the liquidity impact of decisions 
  • Provides visibility into cash implications 
  • Supports initiatives to improve efficiency 

It doesn’t control sales, procurement, or operations. But it ensures their decisions are reflected in cash outcomes.

Because at the end of the day, working capital is not just an operational topic.

It’s a liquidity driver.

And ignoring it is one of the fastest ways to create unnecessary funding needs.



SEO Keywords

working capital management treasury, cash conversion cycle corporate treasury, DSO DPO DIO explained, improve working capital corporate finance, treasury liquidity improvement, receivables payables inventory cash flow, working capital optimization treasury, corporate cash flow efficiency

Payments and Regulatory Frameworks

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.



SEO Keywords

payments regulation treasury, PSD2 PSD3 treasury, SEPA payments corporate treasury, ISO20022 payments treasury, strong customer authentication treasury, open banking treasury payments, cross border payments regulation treasury, payment compliance corporate treasury

Regulations and Compliance in Treasury

Treasury doesn’t operate in a vacuum. It operates in a heavily regulated environment where rules change, expectations evolve, and non-compliance has real consequences.

These regulations affect:

  • Payments 
  • Banking relationships 
  • Risk management 
  • Reporting 
  • Data handling 

In other words, almost everything treasury touches.

Compliance is not optional. It’s part of the job.

Why Regulation Matters in Treasury

Regulation exists to:

  • Increase transparency 
  • Reduce financial risk in the system 
  • Prevent fraud and financial crime 
  • Standardise processes across markets 

For treasury, this translates into:

  • Additional requirements 
  • More structured processes 
  • Increased oversight 

It also creates complexity. Especially for companies operating across multiple jurisdictions.

The Scope of Treasury Compliance

Treasury deals with various types of regulation, including:

  • Financial market regulations
    Governing derivatives, reporting, and trading activities 
  • Banking and payment regulations
    Affecting how payments are executed and processed 
  • Compliance frameworks
    Such as KYC (Know Your Customer), AML (Anti-Money Laundering), and sanctions 
  • Tax and legal requirements
    Impacting cash movements, intercompany structures, and reporting 

Each comes with its own rules, timelines, and documentation requirements.

Global vs Local Complexity

For multinational companies, compliance becomes more challenging.

Different countries have:

  • Different regulations 
  • Different reporting requirements 
  • Different restrictions on cash movement 

Treasury needs to:

  • Understand local rules 
  • Align them with global policies 
  • Ensure consistency where possible 

Balancing global standardisation with local compliance is an ongoing challenge.

Payments and Regulatory Requirements

Payments are increasingly regulated.

This includes:

  • Payment authentication standards 
  • Data requirements (e.g. structured payment information) 
  • Screening against sanctions lists 

Regulations like PSD frameworks in Europe introduce:

  • Strong customer authentication 
  • Open banking requirements 
  • Increased transparency 

Treasury needs to ensure that payment processes remain compliant while still being efficient.

Risk and Derivatives Regulation

Treasury often uses derivatives for hedging.

These activities are subject to regulations such as:

  • Reporting obligations 
  • Clearing requirements 
  • Documentation standards 

Compliance requires:

  • Accurate trade reporting 
  • Proper documentation 
  • Monitoring of thresholds and exemptions 

Failing to meet these requirements can lead to penalties and operational restrictions.

KYC, AML, and Sanctions

Banks and financial institutions require companies to comply with:

  • Know Your Customer (KYC) processes 
  • Anti-Money Laundering (AML) regulations 
  • Sanctions screening 

This affects:

  • Opening and maintaining bank accounts 
  • Processing payments 
  • Managing counterparties 

KYC processes in particular can be time-consuming and require continuous updates.

Data and Reporting Requirements

Regulation often requires:

  • Detailed reporting 
  • Structured data formats 
  • Audit trails 

Examples include:

  • Transaction reporting 
  • Regulatory filings 
  • Audit documentation 

This increases the importance of:

  • Data quality 
  • System capabilities 
  • Process discipline 

The Cost of Compliance

Compliance comes with a cost:

  • Systems and tools 
  • Processes and controls 
  • Time and resources 

However, non-compliance is usually more expensive:

  • Financial penalties 
  • Reputational damage 
  • Operational disruption 

So while compliance may feel like overhead, it’s also risk mitigation.

Where It Goes Wrong

Some common issues:

  • Underestimating regulatory complexity 
  • Lack of awareness of local requirements 
  • Inconsistent application of policies 
  • Poor documentation 
  • Treating compliance as a one-time exercise 

Regulation evolves. Compliance needs to evolve with it.

Treasury’s Role in Compliance

Treasury ensures that:

  • Financial activities comply with applicable regulations 
  • Processes are structured and documented 
  • Risks related to non-compliance are managed 

It works closely with:

  • Legal 
  • Compliance teams 
  • Banks 
  • External advisors 

Because in treasury, ignoring regulation is not a strategy.

It’s a liability.



SEO Keywords

treasury compliance, corporate treasury regulations, KYC AML treasury, payment regulations treasury, derivatives regulation treasury, treasury reporting compliance, financial regulation corporate treasury, treasury governance compliance

Cash Flow Forecasting

Cash flow forecasting is the process of estimating how much cash will come in and go out of the business over a given period.

That sounds simple. It isn’t.

Because forecasting depends on assumptions. And assumptions depend on people. And people are… let’s say, optimistic.

Treasury’s job is to take all those assumptions and turn them into something that resembles reality.

Why Cash Flow Forecasting Matters

Cash flow forecasting allows companies to:

  • Anticipate liquidity shortages or surpluses 
  • Plan funding or investment decisions 
  • Support strategic initiatives 
  • Avoid last-minute surprises 

Without a forecast, treasury is reactive. With a forecast, it can act ahead of time.

The difference is usually measured in cost, stress, and how often someone says “we didn’t see this coming.”

Different Forecast Horizons

Not all forecasts are the same.

  • Short-term (daily to weekly)
    Focus on cash positioning and immediate liquidity needs 
  • Medium-term (monthly to quarterly)
    Support planning, funding, and working capital management 
  • Long-term (annual and beyond)
    Linked to strategic planning and capital structure decisions 

Each serves a different purpose and requires a different level of detail.

Short-term forecasts need accuracy.
Long-term forecasts need direction.

Confusing the two is a common mistake.

Sources of Forecast Data

Forecasts are built from multiple inputs:

  • Sales projections 
  • Accounts receivable and payable data 
  • Payroll and operational expenses 
  • Capex plans 
  • Tax payments 
  • Financing activities 

Treasury consolidates these inputs into a single view.

The challenge is not collecting data. It’s ensuring that data is:

  • Complete 
  • Consistent 
  • Timely 

Which is where things usually start to fall apart.

The Reality of Forecast Accuracy

Everyone wants a “highly accurate” forecast.

Reality check: perfect accuracy doesn’t exist.

Forecasting is influenced by:

  • Changing business conditions 
  • Delays in payments 
  • Unexpected expenses 
  • Human assumptions 

Instead of chasing perfection, treasury focuses on:

  • Improving accuracy over time 
  • Understanding variances 
  • Building confidence in the forecast 

A forecast that is directionally correct and consistently improved is far more valuable than one that looks precise but isn’t trusted.

Direct vs Indirect Forecasting

There are two main approaches:

  • Direct forecasting
    Based on known cash flows, such as invoices and payments 
  • Indirect forecasting
    Derived from P&L and balance sheet projections, typically through FP&A 

Direct forecasting is more accurate in the short term.
Indirect forecasting is useful for longer-term planning.

Most companies use a combination of both.

Rolling Forecasts

Static forecasts quickly become outdated.

Rolling forecasts are continuously updated, typically:

  • Weekly for short-term views 
  • Monthly for longer horizons 

This keeps the forecast relevant and allows treasury to adapt to changes.

It also creates more work. But useful work.

The Role of Technology

Forecasting can be supported by:

  • ERP systems 
  • TMS platforms 
  • Data aggregation tools 
  • Increasingly, AI and machine learning 

Technology helps:

  • Consolidate data 
  • Identify patterns 
  • Reduce manual effort 

But it does not fix:

  • Poor input data 
  • Lack of ownership 
  • Weak processes 

If the inputs are unreliable, the output will be too. Just faster.

Ownership and Accountability

One of the biggest challenges in forecasting is ownership.

Who is responsible for:

  • Providing inputs 
  • Validating assumptions 
  • Updating data 

Without clear ownership:

  • Inputs arrive late or incomplete 
  • Forecasts lose credibility 
  • Treasury spends more time chasing data than analysing it 

Clear roles and accountability improve both efficiency and accuracy.

Variance Analysis

Forecasting is not just about predicting. It’s about learning.

Treasury compares:

  • Forecast vs actual 
  • Identifies deviations 
  • Understands root causes 

This feedback loop improves future forecasts and highlights structural issues.

Without it, forecasting becomes a repetitive exercise with limited value.

Where It Goes Wrong

Some familiar issues:

  • Overly optimistic assumptions 
  • Lack of input from key stakeholders 
  • Fragmented data sources 
  • No regular updates 
  • No analysis of variances 

The result is a forecast that exists, but isn’t trusted.

Which defeats the purpose entirely.

Treasury’s Role in Forecasting

Treasury brings structure, discipline, and realism to forecasting.

It ensures:

  • Cash flows are understood and projected 
  • Liquidity risks are identified early 
  • Decisions are based on forward-looking insight 

It doesn’t predict the future. It reduces uncertainty around it.

And in treasury, that’s about as close as you get to control.



SEO Keywords

cash flow forecasting treasury, corporate cash forecasting, liquidity forecasting corporate treasury, treasury forecast accuracy, direct vs indirect cash forecasting, rolling cash forecast treasury, cash planning corporate finance, treasury forecasting tools

Sustainability and Treasury

Sustainability has moved from a “nice to have” to a core business priority. ESG, environmental, social, and governance, is now part of corporate strategy, reporting, and investor expectations.

Treasury didn’t ask for this shift. But it’s very much part of it.

Because sustainability is not just about operations or reporting. It has direct financial implications:

  • How companies are funded 
  • Where cash is invested 
  • How risks are managed 
  • How stakeholders evaluate performance 

Which means treasury is involved, whether it was originally designed for it or not.

What Sustainability Means for Treasury

For treasury, sustainability is not about running ESG programs. It’s about integrating sustainability into financial decision-making.

This includes:

  • Aligning funding with ESG objectives 
  • Considering sustainability in investment decisions 
  • Understanding ESG-related financial risks 
  • Supporting reporting and transparency 

It’s less about “being green” and more about ensuring financial structures reflect broader corporate goals.

The Shift in Expectations

Stakeholders now expect companies to:

  • Demonstrate sustainable practices 
  • Report on ESG metrics 
  • Align financing with sustainability goals 

This affects:

  • Investors 
  • Lenders 
  • Regulators 
  • Customers 

Treasury sits at the intersection of many of these relationships, especially with banks and capital markets.

Where Treasury Fits In

Treasury contributes to sustainability through:

  • Financing decisions 
  • Investment policies 
  • Risk management 
  • Data and reporting 

It doesn’t lead ESG strategy. But it enables it financially.

Which, unsurprisingly, makes it relevant.

SEO Keywords

sustainability in treasury, ESG treasury role, corporate treasury sustainability, sustainable finance corporate treasury, treasury ESG integration, treasury role in sustainability strategy, ESG impact treasury, treasury and sustainable business