We re-position business ideas, sales channels, platforms, customer relationships and internal processes for the AI era — strategically, independently (no tool commissions), step by step, with your team. So you can act neither too late nor too early, but right.
Four data points that affect every decision-maker in 2026:
Code is replicable. Vibe-coding platforms produce in days what enterprise teams built in months.
AI agents bypass marketplaces and platforms. Reports of AI-agent traffic point to rapid growth.
Major companies have publicly reconsidered large software contracts. Per-seat pricing is under pressure.
Buyer AIs negotiate with seller AIs. No longer in the future, but on checkout pages.
Strategic re-positioning is not a one-off project — it is a journey. We accompany you independently, without tool bias, beyond the technology.
A business-model audit against the 7 core principles of disruption. Identifying the risk per revenue stream. A recommendation: close, protect, rebuild.
GEO (Generative Engine Optimization), direct-to-customer strategies, briefing-first funnels. Migration away from purely paid reach towards an AI-recommendable brand structure.
Data strategy: first-party data architecture, your own corporate LLM (RAG), selection of API/MCP interfaces, building feedback loops.
Rethinking the customer journey: where AI service is better (24/7, multilingual, instant), where the human stays indispensable (trust, complexity, empathy).
Process analysis, quick-win automation, skills building, change management, AI Act governance, pilot cycles with clear impact measurement.
Ongoing sparring for leadership, iteration of the roadmap, continuous adjustment to market movements. No one-off projects — a journey.
A business-model audit against the 7 core principles of disruption. Identifying the risk per revenue stream. A recommendation: close, protect, rebuild.
GEO (Generative Engine Optimization), direct-to-customer strategies, briefing-first funnels. Migration away from purely paid reach towards an AI-recommendable brand structure.
Data strategy: first-party data architecture, your own corporate LLM (RAG), selection of API/MCP interfaces, building feedback loops.
Rethinking the customer journey: where AI service is better (24/7, multilingual, instant), where the human stays indispensable (trust, complexity, empathy).
Process analysis, quick-win automation, skills building, change management, AI Act governance, pilot cycles with clear impact measurement.
Ongoing sparring for leadership, iteration of the roadmap, continuous adjustment to market movements. No one-off projects — a journey.
For each industry we ask: what was the old moat? How does it fall? What remains?
Old moat: booking and review platforms. How it falls: AI travel agents bypass the platform and book directly. What remains: experience quality, multilingualism, local stories.
Old moat: reach and editorial selection. How it falls: AI summarises sources directly, without sending the reader to the site. What remains: original research, brand trust, the curator's voice.
Old moat: complex procurement processes. How it falls: buyer AIs negotiate with seller AIs. What remains: first-party data, compliance, logistics, trust.
Old moat: per-seat licences, deep integration. How it falls: workforces shrink, agents replace users. What remains: the data core, APIs, compliance.
Old moat: network effects, commission. How it falls: AI agents access provider APIs directly — platforms become transparent. What remains: payment, trust, physical logistics.
Old moat: expertise as a bottleneck. How it falls: AI democratises standard knowledge. What remains: strategic depth, accountability, trust, anonymised industry experience.
Old moat: booking and review platforms. How it falls: AI travel agents bypass the platform and book directly. What remains: experience quality, multilingualism, local stories.
Old moat: reach and editorial selection. How it falls: AI summarises sources directly, without sending the reader to the site. What remains: original research, brand trust, the curator's voice.
Old moat: complex procurement processes. How it falls: buyer AIs negotiate with seller AIs. What remains: first-party data, compliance, logistics, trust.
Old moat: per-seat licences, deep integration. How it falls: workforces shrink, agents replace users. What remains: the data core, APIs, compliance.
Old moat: network effects, commission. How it falls: AI agents access provider APIs directly — platforms become transparent. What remains: payment, trust, physical logistics.
Old moat: expertise as a bottleneck. How it falls: AI democratises standard knowledge. What remains: strategic depth, accountability, trust, anonymised industry experience.
Workshops are strategy starting points, not standalone products. Companionship is what creates value over months.
We recognise whether there is a strategy need and which entry point fits. 30 minutes, video or phone.
3 hours, up to 8 participants. Leadership + department heads get the disruption picture for their industry and identify follow-up topics.
A sales-channel strategy for the AI era: how visible your brand is in AI answers, where the gaps are, where the quick wins are.
Understand disruption, accept the mandate to act. The first step in bringing the team along.
Ongoing sparring for leadership over months — iterating the roadmap, continuous market scanning.
Low-threshold: a second opinion, clarification, operational support. With no follow-up commitment.
We recognise whether there is a strategy need and which entry point fits. 30 minutes, video or phone.
3 hours, up to 8 participants. Leadership + department heads get the disruption picture for their industry and identify follow-up topics.
A sales-channel strategy for the AI era: how visible your brand is in AI answers, where the gaps are, where the quick wins are.
Understand disruption, accept the mandate to act. The first step in bringing the team along.
Ongoing sparring for leadership over months — iterating the roadmap, continuous market scanning.
Low-threshold: a second opinion, clarification, operational support. With no follow-up commitment.
"Those who understand the direct path between intent and result are not in the dock in 2026, but at the wheel."
20+ years at the intersection of strategy, technology and operational excellence. Earlier career stations at international corporations, in publishing and in international B2B consulting. Bestselling author of several specialist books.
The main book on the topic: "AI Disruption — Understanding the Agent Economy" (2026). What entrepreneurs, managing directors and decision-makers now need to know about their business model. With a disruption map for 15+ industries and 7 core principles of disruption.
What entrepreneurs, executives and decision-makers need to know about their business model right now.
Order now on AmazonIn a free discovery call we clarify where your business is most vulnerable — and where the narrow path between "too late" and "too early" runs for you.