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The Cashflow Deadline book cover by Frank Gundlich

Why Fiction?

I write business fiction because some conversations only happen when the stakes are fictional.
The pressures are real. The decisions are real. The silence in the boardroom is real. But give those things to a character in a story and suddenly people can look at them directly — without defensiveness, without politics, without the usual noise that surrounds hard truths in organizations.
That is what my novels are for.

The Story

The Cashflow Deadline is business novel that blends the urgency of a financial crisis with the precision of enterprise transformation. Set in Frankfurt, the story follows CFO Klara Vogel as she faces a stark reality: her company is 42 days away from a liquidity shortfall that could breach covenants and erode trust with lenders.

What unfolds is not just a rescue mission—it’s a reinvention. Klara assembles a task force of unlikely allies—data architects, governance and quality experts, AI scientists, and skeptics turned believers—she transforms fragmented spreadsheets into a reconciled, predictive, and scenario-driven cockpit. Together, they navigate boardroom resistance, supplier negotiations, employee fears, and even a Black Swan week that threatens to unravel everything.

This is not just a story about finance. It’s about foresight, resilience, and the human cost of uncertainty. It’s about how CFOs must evolve—from historians of numbers to navigators of futures.

Whether you're a finance leader, data professional, or transformation executive, The Cashflow Deadline will resonate deeply. It’s a novel that reads like a strategy playbook—filled with lessons, tension, and hope.

Cashflow is oxygen. Guard it. Translate it. Use it to build futures worth breathing in.

The main characters

Klara Vogel is the kind of CFO who makes balance sheets feel like courtroom verdicts. Raised in the disciplined halls of German industry, she built a reputation as a strategist who spots cash flow weaknesses before others sense trouble. Colleagues call her precise, relentless, and disarmingly direct, “Business German” presence in the truest sense. 

She began as a controller in a multinational manufacturer, rising through corporate finance and treasury. Known for navigating turbulent market cycles, she’s restructured debt and stabilized liquidity under pressure. Her mantra: numbers tell the truth, and it’s her job to make sure everyone listens. 

In meetings, Klara blends authority with razor-sharp pragmatism. She’s respected for her expertise and refusal to sugarcoat risks. Her famous warning—“Bottom line, ...”—captures her style: analytical, uncompromising, and focused on safeguarding the company.

Portrait of CFO Klara Vogel with a quote about cash position.

Martin

A veteran SAP architect in his 50s, shaped his career through decades of system migrations across Europe. Educated in Stuttgart, he became known for untangling legacy complexity, mentoring young engineers, and insisting on clean, centralized architectures.

Quote from Martin, SAP architect, on data fabric.

Lea

A Data Intelligence Platform engineer in her early 30s, built her career bridging SAP systems with modern data stacks. Trained in computer science in Munich, she thrives on fast prototyping, external data integration, and bringing agility to rigid enterprise landscapes.

Woman holding coffee with a quote about SAP data fabric.

Sophie

The Data Lead, studied mathematics in Zurich before moving into enterprise data governance. Known for her precision and discipline, she built her career defining standards, protecting data integrity, and steering teams through complex compliance landscapes.

Illustration of a woman writing in a notebook with a quote about governance and integrity.

Anand

An AI scientist from Bangalore, studied machine learning in Milan before joining global enterprises. Valued for his calm intellect, he specializes in reconciling messy data, building trusted models, and revealing business truths hidden beneath polished surfaces.

Man with glasses holding a sign about reconciled data.
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