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Autonomous Go-to-Market (GTM)

Autonomous Go-to-Market (GTM)

Product × GTM × AI. AI agents take over execution. Humans retain strategy. Founder-led sales becomes a revenue system that works without the founder in every deal. That's Autonomous GTM.

The product works. Customers use it. Sales are there. But it doesn't scale. Marketing generates visibility, but not a qualified pipeline. And AI tools only accelerate a process that was never clearly defined.
The gap between a working product and scalable revenue is not a marketing problem. It is an engineering problem.

Autonomous go-to-market (GTM) is not a department. It is an engineering discipline.

What is missing is not a better tool. What is missing is the system in which everything works together.

Product Management

Product Sense & AI Product Strategy. AI has changed who can build. Not what should be built. The ability to decide – what the market actually wants to buy, what deserves resources, what gets scrapped – is the new bottleneck. Not development speed. Not tooling. Judgement.

I work with product managers on what AI cannot replace: qualitative interviews, quantitative surveys, roadmap prioritisation based on impact and feasibility. Validation with synthetic users before productive code is written. Agentic engineering workflows that deliver prototypes in hours instead of sprints.

The result: a product team that validates faster, produces fewer misguided developments, and does not lose touch with the market.

Go-to-Market (GTM)

Go-to-market (GTM) is not a department. It is an engineering discipline. Positioning that comes from real customer interviews, not from the meeting room. ICP definition based on data, not assumptions. Signal-based outbound instead of cold calling from lists. Inbound systems that deliver qualified pipeline, not newsletter subscribers. I design end-to-end revenue architectures: from the first customer conversation to conversion flows to sales qualification. A machine you can measure and control. Not a campaign you have to repeat.

The result: a revenue system that scales – regardless of whether the founder is in the room.

Artificial Intelligence

Agentic engineering instead of vibe coding. The use of AI models with a clear P&L impact and strict governance.  I help B2B software companies use AI across products and sales – with the EU AI Act, Swiss regulations and GDPR built in from day one. Not added on later. Before the audit.

The result: AI-supported product and sales processes that satisfy customers and regulators.

Autonomous GTM

When Product × GTM × AI come together. AI agents take over execution. Humans retain strategy. The result is not a single project. It is an operating system. Founder-led sales becomes a revenue system that works without the founder in every deal. Not sometime in the future. This is Autonomous GTM.

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DECODE

Understand the market before you build. Qualitative customer interviews, quantitative surveys. ICP definition. Competitive analysis. Positioning canvas. The market tells you what to build – if you ask the right questions. Most people don't. They build first and ask questions later. → You know who you are building for and why they buy.

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SHAPE

Validate before scaling. AI readiness assessment. Roadmap prioritisation. Test prototypes with synthetic users. Agentic engineering workflows. Identify bad investments before they end up on the roadmap. The most expensive line of code is the one nobody needs.→ You build what the market demands – not what the team thinks it needs.

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AMPLIFY

Test messaging. Build revenue. Signal-based outbound. Inbound systems. Content that generates pipeline, not just reach. Discovery calls. Conversion flows. Sales qualification. Sales stops being improvised. It becomes systematic.→ Your sales team delivers a qualified pipeline – repeatable, measurable.

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EVOLVE

Automate. Document. Scale. AI agents for execution. People for strategy. The Human + AI Playbook for your team. Document the growth loop. Use performance data as a basis for decision-making. The goal was never a campaign. The goal is a system that loops. → Your GTM is running. Even when you're not in the room.

Sales Automation System for B2B

Nine companies founded. Three exits. One Springer Gabler book. From scaling Aioma from zero to 30 employees in six months to leading the sale of Localina's CRM to Swisscom, I've built and broken enough go-to-market engines to know what actually works.

As Innosuisse expert and as founder of CAS courses and lecturer at major Fachhochschulen, I bridge cutting-edge AI capabilities with practical revenue operations — building autonomous GTM systems that turn complex automation into predictable growth.

An avid hike & fly pilot, I've learned that business and paragliding have a lot in common — it's about reading the conditions, taking calculated risks, and staying calm when the air gets turbulent. When my feet are on the ground, I'm probably trying to convince someone that MacGyver is the greatest problem-solver of all time.

Connect with me to start
16

Planning and implementing software projects in marketing and sales since the age of 16.

100+

Helped over 100 B2B tech companies as agency owner, software integrator and auditor.

3

My top 3: Family adventures, novel marketing and sales tech, and quality time in the Swiss alps.

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I work based on experience and data. My strategies are based on facts and market data, scientific benchmarks and applied research in the European mid-market. Here is the essence of this work.

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“The collaboration with Marc was highly professional at all times and was also a lot of fun. I can also recommend Marc to other companies that are looking for innovative ways in B2B marketing.”

Eberhardt Weber
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CEO @ Emporix AG

“Marc has made a decisive contribution to externalising United Security Providers' internal expertise and enriching CRM data. The ability to not only reach our target group, but also to maintain a valuable dialogue on an ongoing basis, has significantly strengthened our market presence.”

Yves-Alain Gueggi
/
CEO @ United Security Providers AG
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