Karl zu Ortenburg - Founder, ExValu

Founder - ExValu

Karl zu Ortenburg

MSc Sloan, London Business School

"Your exit should reward everything you built. My job is to make sure it does."

ExValu exists because three disciplines converge in one question: how do you capture what a brilliant human knows, make it run without them, and ensure buyers pay for it? The answer draws equally from finance, AI, and marketing - and very few people have spent serious time in all three.

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Finance

Deutsche Bank, FSA-regulated M&A advisory, PE and buyer-side deal logic

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AI - since the 1990s

Expert Systems research at University of Zurich - machine knowledge capture before it had a mainstream name

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Marketing and value communication

Positioning businesses so buyers understand, trust, and pay for what has been built

30+ yrs

Working at the intersection of finance, technology, and business operations

1990s

When Karl first studied machine knowledge capture - Expert Systems research, University of Zurich

3x ROI

Minimum return on engagement Karl requires to see before proposing any program

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The standard Karl works against

Is your company valuable in a way a buyer can trust, understand, and take over? That is the only question that matters at exit.

Karl zu Ortenburg - Founder, ExValu

Why this perspective is different

Finance, AI, and marketing - three disciplines that almost never meet

Most exit advisors come from one world. Most AI implementers come from another. The intersection of all three is where ExValu was built.

Finance - the buyer's lens

Deutsche Bank - A-M-I London (FSA-regulated) - PE and M&A advisory

The analytical foundation is finance, not technology. Years at Deutsche Bank, followed by running an FSA-regulated corporate finance firm in London focused on TMT project finance across Europe and the USA. This means ExValu is structured around the question buyers and their advisors actually ask in due diligence - not the question founders assume they ask.

Buyers model risk before they model upside. They discount founder-dependent businesses before a single negotiation begins. Understanding how that discount is calculated - and how to dismantle it systematically - comes from sitting on the buy side, not the sell side. Finance first. Technology second.

AI - since before it had a mainstream name

University of Zurich, 1990s - Expert Systems research - machine knowledge capture

At the University of Zurich, Karl became the first student permitted to bridge Computer Science and Business Psychology - with a research focus on one question: how do you capture what a brilliant human knows and make it transferable to a machine? That was the 1990s. The field was called Expert Systems. ChatGPT did not exist. Most people had not heard of AI.

That foundational question - how to systematize human expertise - is still the core of every ExValu engagement. The tools have changed dramatically. The problem has not. Three decades of thinking about machine knowledge capture means the methodology is built on substance, not on the current AI cycle. AI expertise that predates the hype.

Marketing - making value legible to buyers

Positioning - value communication - buyer perception engineering

Building operational independence is necessary but not sufficient. Buyers have to see it, understand it, and trust it. That is a marketing problem as much as an operational one. How the Exit Readiness Program is documented, structured, and presented in a data room directly affects how buyers price the business. Operational excellence that is invisible to a buyer has no valuation impact.

The combination of finance (knowing what buyers want), AI (building the systems that deliver it), and marketing (making it visible and credible) is what separates valuation engineering from either AI consulting or traditional exit advisory. Value only exists if buyers can see it.

Background and credentials

The career that built ExValu's methodology

Each role contributed something specific to how ExValu works. The sequence matters as much as the individual credentials.

University of Zurich - 1990s

Expert Systems and human knowledge capture

First student permitted to bridge Computer Science and Business Psychology. Research focus: how to capture expert human reasoning and make it transferable to machines. This was Expert Systems research - machine learning before machine learning was a consumer concept. The foundational question ExValu still answers for every client.

Bertelsmann AG

Strategic advisory - 250 profit centres globally

Strategic advisory to the Executive Vice President and CIO. Financial oversight across 250 profit centres globally. Design of executive information systems. This is where operating at scale - and understanding how information flows through complex organizations - became practical rather than academic.

Deutsche Bank

Corporate finance training

Rigorous financial training program. The analytical discipline that underpins the buyer-side perspective ExValu brings to every engagement. Understanding how financial buyers model risk, value, and upside is the foundation of everything ExValu builds toward.

A-M-I, London

Managing Director - FSA-regulated corporate finance

TMT project finance across Europe and the USA. Running an FSA-regulated firm means understanding the legal, regulatory, and fiduciary standards that sophisticated buyers expect. This is where buyer-side thinking became daily practice, not theory.

London Business School

Master of Science - Sloan Program

MSc Sloan. Supplemented by AI certifications from Google, Microsoft, and leading European AI institutions - maintaining current technical knowledge alongside the long-term foundational understanding built from the 1990s onward.

Who Karl works with

The fit that produces results

ExValu works with a small number of SME owners at a time. The engagements that produce the strongest outcomes share these characteristics.

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Planning to sell within 1-3 yearsEnough runway to implement properly and demonstrate results to buyers before going to market.

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The business still depends too much on themRevenue, relationships, or operations that still run through the owner personally - the core problem ExValu solves.

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Wants to improve value before going to marketUnderstands the gap between current and potential multiple, and wants to close it before a buyer prices it in.

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Wants to reduce risk before a buyer sees itPrefers to address operational, GDPR, or key-person risks proactively rather than discover them during due diligence.

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Facing AI-driven pressure on margins or differentiationIndustries being reshaped by AI create a second discount at exit - operational obsolescence on top of founder dependency.

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Wants implementation, not a reportPractical, structured support that builds working systems - not a slide deck of recommendations to execute alone.

I tell owners what they need to hear. If I do not see a clear path to at least 3x ROI on the engagement, I will say so. Not every business is ready for this work, and not every timeline allows for it. The diagnostic call exists to establish that honestly, before any commitment is made.

Beyond the boardroom

What shapes how Karl works

These experiences do not belong on a pitch deck. But they shape the discipline to do the unglamorous work, the empathy to understand what owners carry, and the integrity to tell them the truth.

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Seven years, Malteser Kinderzug

Voluntary service supporting children with physical and mental disabilities. Where patience, consistency, and genuine commitment to outcomes - not appearances - became habits.

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Family business from age nine

Contributing to his family's business from childhood. Understanding what it means to build something across generations - and what is lost when that knowledge disappears with the person who held it.

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Reconnaissance Officer training

Military training as a Reconnaissance Officer. Clarity of mission, discipline under pressure, and the ability to assess situations accurately before acting - not after.

A secondary motivation worth naming

The Knowledge Leak

Over generations, the hard-won expertise of owners, operators, and builders has disappeared with them. Not because it was not valuable - but because no system was built to capture it. When an owner is indispensable, that knowledge is trapped. When they exit, it often disappears entirely. Karl calls this the Knowledge Leak. Helping an owner sell well honors what they built. Making sure their knowledge survives the transaction - and continues to serve customers, teams, and future owners - is the other side of the same work. The primary benefit is the number on your exit proceeds. The secondary benefit is that what you built continues to matter after you leave.

The work

The question behind every ExValu engagement

The most important question is not whether your company is good. It is whether your company is valuable in a way a buyer can trust, understand, and take over. That is the standard Karl works against. Because in the end, owners should not be rewarded merely for working hard. They should be rewarded for building a business that holds value beyond their daily involvement.

The first step is usually not a pitch. It is clarity.

Where is value already strong - and what is already working in your favor?
Where is value still fragile - and what would a buyer see in the first ten minutes of due diligence?
What is increasing buyer confidence - and what is demonstrably transferable today?
What is still creating discount risk - and which gaps are most urgent given your exit timeline?
What should be fixed now to improve the eventual outcome - and in which order?

"You should be rewarded for making yourself replaceable."

A business that works without you is worth more. That is what Karl builds. If you are thinking about your exit horizon, your dependency risk, or simply whether your business would survive you stepping back for 30 days - that is exactly the conversation worth having.

Common questions

What owners ask before starting

Yes - and the earlier you start, the stronger your position. Buyers can identify last-minute systematisation. They call it window dressing and discount it accordingly. What buyers pay a premium for is 12-24 months of documented, AI-augmented performance. Beyond the exit, the operational improvements - 30-50% owner time savings, 2-4 point margin improvement - typically pay back the program cost within 6-12 months. You benefit before the sale, and again at the transaction.

That is exactly why AI creates such dramatic value for your business. Businesses with manual, owner-dependent processes see the largest valuation uplifts, because the before/after contrast is compelling to buyers. We do not need perfect data to start. We need your willingness to document and systemise - that is the work we do together.

VAs and operations managers are useful for execution. They solve the person problem by adding another person. AI systems eliminate dependency at the structural level: they are documented, automated, and buyer-owned. That is what commands premium multiples. A buyer who acquires your business acquires the system, not the people who run it.

We cannot control buyer behavior or market conditions. We do guarantee the operational improvements: owner dependency reduction, margin expansion, revenue predictability. Those improvements are what drive multiple expansion from 4x toward 6.5-7.5x. If we do not deliver measurable KPI improvements within 90 days, we keep working until we do - or refund the difference.

The Exit Readiness Program is priced as a single-digit percentage of EBITDA, with a fixed cap and milestone-based payments. This aligns the fee with the scale of your business. The return case is direct: a business exiting at 4x today because buyers are pricing owner dependency typically commands 6.5-7.5x after the program. On a $1.5M EBITDA business, that is a $4-5M difference in exit proceeds. The program cost is a rounding error by comparison - and most owners recover it through margin improvement alone within the first six months, before the multiple uplift at exit is counted. We do not publish fixed prices because scope depends on your business. Once we understand your EBITDA, your exit timeline, and your biggest dependency risks, we can show you the specific numbers.

The underlying methodology is built on documented M&A research - PwC, EisnerAmper, and others - demonstrating that operational independence and AI-enabled systems create 25-50% valuation premiums across sectors. The principles - eliminating owner dependency, documenting processes, demonstrating predictable operations - are proven valuation drivers regardless of industry. On the diagnostic call, we map the approach specifically to your business model. If we do not see a clear path to at least 3x ROI, we say so.

Most advisors tell you what is wrong. ExValu fixes it. Traditional consulting ends with a slide deck. ExValu is an execution partnership: we implement the AI systems, build the documented processes, and create the operational governance that removes you from the day-to-day. We prepare you for a sale and actively shorten the closing window by arriving at the table with clean data rooms, documented systems, and a buyer-ready operational story. The three-discipline combination - finance, AI since the 1990s, and marketing - means the work is built around what buyers actually pay for, not what is technically impressive.

The conversation worth having

If you are thinking about your exit horizon, your dependency risk, or whether your business would survive you stepping back for 30 days - book a Free Exit Valuation Analysis. The first step is clarity, not a pitch.

Find my valuation gap Book my diagnostic call

20-30 minutes. A specific picture of where you stand.

About ExValu