When is the right time to bring in experienced leadership from outside?

On leadership vacancy, before or after a PE deal, in post-merger integration, during restructuring, or when delivery and AI roadmaps stall.

What does working together look like?

The task determines the form. I take on leadership roles as CEO, COO, or CCO with line responsibility and P&L, plus board and advisory mandates. We define scope and setup in a first conversation.

How fast are first results visible?

Within 60 days: operational transparency, clear priorities, and first measurable improvements in delivery, costs, or org structure.

What distinguishes operational leadership from classical consulting?

I take line responsibility — as CEO or COO with decision authority, P&L responsibility, and impact on daily operations. No recommendation papers without execution.

How does a post-merger integration mandate work?

Two organizations, two tech stacks, two cultures are merged through a structured 100-day plan: governance, delivery model, org design, and cultural integration in parallel.

What role do AI and the EU AI Act play in mandates?

AI transformation and governance have been part of the core portfolio since 2024 — including EU AI Act compliance, AI coding governance, and operationalizing AI in software delivery teams.

Scaling B2B Software
in the AI Era

For more than 20 years I have been building and leading B2B software companies. As a founder with an exit, as CEO, COO and CCO. Here I write down what works when scaling in the AI era, and what does not.

CEO · COO · CCOBoard & Advisory

What's on my mind

Perspectives from 20 years of B2B software, PE and fundraising.

Steel structure seen from below, an image for AI due diligence in software deals

PE OperationsMarket & Strategy

AI Due Diligence: How Investors Re-Underwrite Software Deals in 2026

Tech deal value fell 70% in a single quarter because investors stopped trusting software valuations under AI pressure. A four-field AI due diligence playbook for boards, buyers and sellers.

July 20268 Min. read

Large truck on a narrow winding road, an image for cutting AI costs through the right model choice

AI & Technology

A Forty-Ton Truck for a Loaf of Bread: Cutting AI Costs Without Cutting Quality

A factor of ten separates the strongest model from the smallest. Cutting AI costs starts with sorting your tasks.

July 20269 Min. read

Empty office chairs at a conference table, an image for SaaS pricing models losing their per-seat anchor

Market & StrategyAI & Technology

SaaS Pricing Models in the Agent Era: Per-Seat Pricing Is Losing Its Anchor

AI agents complete work without filling seats, and SaaS pricing models are shifting toward hybrid and outcome billing. What buyers and software leaders should sort out before the next renewal.

July 20268 Min. read

A person photographing the Brandenburg Gate with a smartphone, a picture of digital communication in Germany.

AI & TechnologyMarket & Strategy

AI Usage in Germany: Who Uses ChatGPT and Where Trust Ends

The Internet Communication Study 2025/26 shows who uses AI in Germany: ChatGPT reaches 87.5% of the youngest, autonomous AI shopping meets resistance, email stays the preferred channel.

July 20265 Min. read

Aerial of a magnificent moated castle with intact walls, a picture of a defensible niche B2B SaaS.

Market & StrategySoftware & Delivery

Building your B2B SaaS castle: how niche players dig a moat in the AI era

How smaller, niche B2B SaaS companies build a defensible castle, on their own data, deep workflow, regulation and a physical layer.

June 20268 Min. read

Aerial view of a medieval castle ringed by a river moat, a picture of a defensible B2B SaaS business model and its competitive moat.

Market & StrategyAI & Technology

Scaling B2B SaaS in the AI era: the wall everyone builds and the moat that pays

Around six percent of companies turn AI into real bottom-line value. Four levers and a well-dug moat separate the winners from the expensive rest.

June 20269 Min. read

TOOLAI Cost Calculator: What does a completed task cost?

Standpoints

Three principles, one thesis

For me, AI, regulation and growth belong together. Companies that think them together grow faster and safer. That holds for software companies as much as for established businesses that are making AI part of their core. From that follow three guiding principles: growth, speed, and defensibility.

Growth

Scaling mechanics

Growth comes from the right mechanics. I start in the engine room.

Go-to-market, pricing, sales motion, and the economics behind them.

Articles on this

Speed

AI across the company

Build the guardrails, then drive fast. In exactly that order.

Governance as a speed lever. AI as a company-wide tool in engineering, service, and sales.

Articles on this

Defensibility

Defensible Scale

Scale only counts when it is defensible: workflow, data, distribution.

Moats, workflow lock-in, and the investor lens on B2B software.

Articles on this

Track record

Concrete roles, concrete companies.

COOCREATEQ AG
Managing Consultant (via E&P Consulting)Munich Re Group
Chief Commercial Officer (CCO)enmacc GmbH

Full track record

TALKS & TEACHING

Stage, Lecture Hall, Boardroom

TEACHING · FALL 2026

Applied AI Systems: Architecture, Integration and Scaling

Universität Zürich · Fall Semester 2026

Bachelor seminar on AI systems in practice: architecture, integration and scaling.

Seminar at the Institute of Informatics, University of Zurich, fall semester 2026. Students build AI systems in groups against practical assignments, covering architecture, integration and scalable operation.

Global Software Management

Universität Zürich · Fall Semester 2026

Operating standards, governance and AI delivery in globally distributed software teams.

Lecture in the MSc Informatics programme at the Institute of Informatics, University of Zurich, fall semester 2026. Distributed delivery, vendor management, AI in DevOps, IT governance and B2B SaaS delivery at scale.

UPCOMING

August 29, 2026

EIGENBAU: Build Your Own AI Tool in a Day

Convios GmbH · LechLoft, Landsberg am Lech · Workshop

A full day of building for executives: a tool for your own problem that runs by the evening.

October 14, 2026

Why the Next Five Years Will Decide Your Consulting Firm's Future

Scaliento · Söding bei Graz (AT) · Keynote

Standing still is not a strategy: how compliance consulting stays defensible in the AI era.

SELECTED TALKS

AI Agents, Vibe Coding and the EU AI Act

BVMW Bayern · Online · Online Talk · 2026

The Metals Trading and Price Reporting Marketplace of the Future

SEAISI · Online · Online Talk · 2020

Digitalization in Logistics: People, Processes, Technology

SVG Saar · Saarbrücken · Keynote · 2019

Banking Challenges in a Digital, Connected World

Crealogix · Zürich · Keynote · 2019

Digital Transformation in Logistics: More Success through Collaboration

gwSaar / Saarl. Wirtschaftsministerium · Paris · Keynote · 2019

Digitalization between Service and Sales

Sparkassenakademie NRW · Dortmund · Keynote · 2018

References

Selected clients

ABOUT ME

Just do it. Now.

Oliver Gausmann in the cockpit, headset on

I'm an entrepreneur. That's what I've been in every mandate and every role, in startups, scale-ups, and corporates. The title changes. The mindset stays.

Getting on top of new topics fast, finding the screw in the gearbox and loosening it. That's what drives me. Growth gets less of a head start today than it did five years ago. Less room, more discipline, faster decisions. That's exactly when I get the call.

In the gliding club, the bricklayer flew with the professor, and they sat at the same table that evening. That's where I learned early that substance beats hierarchy. Today I fly actively, PPL(A) with night and seaplane ratings. When the horizon disappears, you rely on your instruments, structure, and training. That's how I run companies.

I've kept that technical depth through every phase and pass it on today at the University of Zurich.

Doctorate in information systems from the University of Augsburg, summa cum laude. Lecturer at the University of Zurich.

THESES

Nine pointed theses. Disagreement welcome.

From practice, sharpened in articles and conversations. Every thesis comes with a resolution, many with an article behind it. If you disagree, that's exactly what the button is for.

Everyone wants to go fast with AI. Building the road is somebody else's job, apparently.

Resolution

Productive AI use takes more than ambition and investor pressure: processes, data, guardrails. First the road, then the speed.

The article behind it Tell me why I'm wrong

More sales pressure is the most expensive answer to a mechanics problem. The world doesn't need more sales slop.

Resolution

When positioning, pricing, and sales motion are off, more hunting only makes the damage faster. I start in the engine room.

Tell me why I'm wrong

Hiring three more hunters is the 2019 answer. The cheapest sales rep in 2026 is your product.

Resolution

Partners, product, and price beat direct sales more often than most plans admit. Three levers, tested in three mandates.

The article behind it Tell me why I'm wrong

AI without context is like skiing in summer. You can, but you really don't have to.

Resolution

Without your own data and workflows, every model stays a party trick. Context is the slope.

The article behind it Tell me why I'm wrong

AI is a tool, not a product. Your painter doesn't sell you the brush either.

Resolution

What gets paid for is the painted house. If all you sell is the brush, you're a commodity within six months.

The article behind it Tell me why I'm wrong

Software that's just a pretty window onto someone else's data has an expiry date. MCP just moved it up.

Resolution

Open protocols talk to the data directly. The moat moves into workflow and data ownership, and valuations follow.

The article behind it Tell me why I'm wrong

Go ahead, keep banning AI. Do you really think the kids don't know where the sweets are?

Resolution

Your team is using AI already, with or without approval. The only question is whether anyone is watching.

The article behind it Tell me why I'm wrong

Nobody ever got fit from a gym membership alone. The ChatGPT license works the same way.

Resolution

70 percent of the value sits in reworking how people work. The license is the membership card. The training starts after.

The article behind it Tell me why I'm wrong

No AI is going to steal your deal. The competitor who uses it more consistently will.

Resolution

It's a Red Queen race: standing still means falling behind. For software vendors, twice over.

The article behind it Tell me why I'm wrong

Which thesis is missing? Send me yours.·Or book 30 minutes directly.

Convios & Ventures

The thinking lives here. The execution is called Convios.

Both happen at the same desk: operational leadership roles and board work, AI adoption and software governance for B2B companies and their investors.

CONVIOS

My company · since 2006

Operational leadership roles as CEO, COO and CCO, board work, value creation and governance. For established B2B companies, software scale-ups, and their investors.

convios.com →

ETHENIOS

Own B2B SaaS Venture

B2B SaaS platform for AI-powered compliance management. EU AI Act, DORA, ISO 27001 modeled as structured data. Built with own engineering team in India. Currently in development.

ethenios.ai →

Teaching

University of Zurich · Augsburg

Lectureships on growth strategy and applied AI systems. Executive sparring via Convios.

convios.com →

Contact

The shortest path is a conversation.

Feedback on an article, sparring, a concrete situation in your company: write to me, or book 30 minutes directly in my calendar.

Schedule a conversation gausmann@convios.com linkedin.com/in/olivergausmann

Convios GmbH · Bischof-Riegg-Str. 19a · 86899 Landsberg am Lech · Germany

Scaling B2B Software
in the AI Era

What's on my mind

AI Due Diligence: How Investors Re-Underwrite Software Deals in 2026

A Forty-Ton Truck for a Loaf of Bread: Cutting AI Costs Without Cutting Quality

SaaS Pricing Models in the Agent Era: Per-Seat Pricing Is Losing Its Anchor

AI Usage in Germany: Who Uses ChatGPT and Where Trust Ends

Building your B2B SaaS castle: how niche players dig a moat in the AI era

Scaling B2B SaaS in the AI era: the wall everyone builds and the moat that pays

The clock is gone: how longer hold periods change the buy-and-build platform

AI Agents, Vibe Coding and the EU AI Act

How B2B software scales beyond direct sales: three levers from three operator roles

MCP and B2B Software Business Models: What Changes for Private Equity

AI Compliance Architecture: Three Decisions That Outweigh Your Framework Choice

Multi-Agent RAG in Production: Four Complexity Levels and What Each One Costs

AI Regulation 2026: What German SMEs Must Do Now

AI ROI Map: Where AI Investments Pay Off

15 AI Frameworks That Shape Your Strategy

25 AI Terms Every CEO Must Know in 2026

When the AI Reflex Gets Expensive: The Real Value of Expertise

35% Replace SaaS With Custom Code: Which Business Models Survive AI

Agentic AI: Why Moving from Pilot to Production Fails 42% of the Time

Build Your AI Operating System: A CEO Field Report