How European treasury teams are regaining control of debt in a volatile market

Facing a different environment

European treasury teams are operating in a fundamentally different environment than they were even a few years ago. With refinancing costs still elevated, and interest rates and inflation becoming less predictable, debt portfolios are stuck in extended replacement cycles and have grown more complex.

But the emerging challenge is not higher costs or complexity. It is the difficulty of maintaining a clear, accurate, and timely view of debt positions while also developing the capacity for proactive management. Debt management may once have been a periodic exercise, but today, amid more turbulent conditions, it is crucial to keep continuous, real-time, and forward-looking control.

Why the traditional debt management model struggles

Many European teams still look to debt management that was built for a slower, stable era, rooted in manual reporting. This worked when interest rates were low, and portfolios relatively straightforward.

However, as the financial environment has changed, this structure is beginning to show its limits. When data is spread over systems and teams, manual aggregation is needed to achieve a consolidated view. This stretches reporting cycles and leaves them vulnerable to shifting conditions that can’t wait. Even the tightest processes frequently rely on approximations or assumptions, and these may no longer offer defensible financial positions when real-time shifts occur.

The risk profile needs to be re-assessed with stress-tests, and the hedging strategy needs to be smartly piloted. A little inefficiency may not feel insurmountable, but with it comes uncertainty. Do the reported numbers still reflect current positions, or have they since shifted?

The risks in delayed debt portfolio visibility

It is more important than ever for treasury teams to show they are in full control. However, both delayed and fragmented visibility carries consequences.

Smaller inaccuracies can compound in large and complex portfolios, especially if debt, hedging, and currency exposure is siloed and separate. Small basis point shifts or fractional error rates can quickly become billions in value across a complex portfolio. It can also impact negotiation leverage, or the long-term cost of capital and debt sizing.

These inefficiencies compound when compliance, or covenant management, is introduced. Alongside tighter lending conditions, European treasury teams face more complex covenant structures and closer monitoring. When teams can only identify potential breaches late, or are tied to approximated calculations, they enter a cycle of reactivity.

The typical monthly or quarterly cycle amplifies this backward-looking decision-making model. Yet today’s volatile financial climate favours those who are proactive. Continuing to respond to events after they happen creates a structural disadvantage.

From reporting to real-time control and proactive management

What is needed for success within this shifting environment is a different approach to debt management overall. Debt portfolios should be piloted, not simply monitored.

This requires treasury teams to move to central systems that offer live data, bringing all elements of the debt portfolio, including loans, derivatives, leases, and covenants, into one place. Centralisation enables consistent formulas and calculations applied uniformly across the full portfolio, not piecemeal across fragmented data. Paired with live market data such as exchange rates and loan rates, treasury teams gain an accurate picture of how their portfolio is impacted today and in the future. The result is a single source of truth, updated in step with major shifts, with the real-time capability to forecast potential scenarios and guide decision-making.

This approach, whether across a single portfolio or at the group level, lowers risk vectors, especially those created by inaccurate pictures and approximated figures. It also buffers the risk of covenant missteps and the loss of credibility that can follow, with oversight possible at any time, not just preset markers.

Why? Because the focus has shifted from tracking past activity, to understanding its future impact. Real-time data and scenario modelling allow tests of rates, liquidity, terms, or market conditions, before they become a reality in need of a solution.

But this is not simply a matter of switching technology. It’s a broader shift in thinking. Manual processes consume time without contributing to higher-value decision-making. Automation and standardisation, supported by external expertise where needed, free up time and reduce risk. That time can instead be dedicated to work that actually moves the needle: stress-testing scenarios, and actively piloting the debt portfolio and hedging strategy.

The AI question: where it fits in debt management, and where it doesn’t

Without that, automation introduces its own risk. The most effective approach is a hybrid one: purpose-built calculation engines handling the heavy lifting of financial modelling, with AI layered on top to interrogate that output and surface the right questions. What happens if rates jump? How does the portfolio perform under stress? AI is well-suited to prompting that kind of exploration, but it needs reliable engines and clean data beneath it to be meaningful.

For now, despite its potential, AI is best seen as a supportive tool, not an ultimate solution in its own right. Any AI-supported implementation still needs strong oversight and validation from human judgment if decisions are to stay grounded in data and expertise.

Taking control of debt management with technological support

That said, technology does offer a means to centralise and standardise processes to support treasury teams in this shift from backward-looking reporting to forward-looking management.

Platforms such as Altus Group’s Fairways Debt are designed to support this shift by bringing loans, derivatives, leases, and covenants into a single, connected environment. Supported by real-time market data and automated reporting, Fairways Debt provides treasury teams with a consistent, up-to-date view of their positions while enabling forward-looking scenario analysis.

Example of a Fairways Debt visual dashboard with debt portfolio information and live market data

When treasury teams can replace fragmented spreadsheets or programs with a unified central record this way, they benefit from accurate, up-to-date views of their positions, and reduce error-introducing manual processes. But most importantly, platforms like Fairways Debt also simplify covenant duties and enable forward-looking analysis that brings teams scenario modelling tools rooted in a consistent, reliable data foundation. They don’t simply speed up reporting; they empower confident decision-making when renegotiating a debt portfolio or driving a hedging strategy.

The European market shows a clear, if volatile, direction. The businesses that can understand their debt positions in real time, and model how they may change, will be the ones better equipped to manage forward-looking risk. With that comes effective negotiation and the ability to act decisively, even as conditions change. Modern, connected debt management isn’t about just tracking debt. It needs treasury teams that can understand their past and future positions well enough and fast enough to act with confidence. This is not simply a question of efficiency. It is a question of control.

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