Klaus Tulipan

Most companies are optimizing the wrong system.

They focus on internal data, internal workflows, isolated AI tools — while the real drivers of performance are external: market shifts, competitive dynamics, pricing pressure, technology transitions, supplier dependencies.

AI is accelerating this gap.

Most companies currently use AI for productivity — chatbots, copilots, workflow automation. The visible early wins.

But the larger impact is strategic. AI changes how markets operate — product differentiation, positioning, competitive structures, the underlying logic of where margin is defensible.

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Particularly in banking, insurance and regulated industries, the 2026 focus is concrete: EU AI Act high-risk system inventory, audit-ready architecture, multi-jurisdiction compliance reasoning, AI risk classification at portfolio level.

Teaming with compliance is, structurally, one of the strongest AI entry points in this environment.

Other structural questions — international competitive dynamics, AI-driven margin pressure, supplier disruption — extend the same lens to non-regulated environments.

Active focus areas at r9si.com.

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What I build and apply today:

R9 Strategy Intelligence — production-deployed AI component library on Microsoft Azure AI Foundry. Substance for senior advisory engagements, not slideware. Operating via Cloud Professionals GmbH (Munich). Microsoft AI Cloud Partner.

In active development: AIGROWTHRADAR — an executive-level market-signal-and-benchmarking engine for executives navigating AI-driven structural market change. Phase Beta — selected pilot organisations.

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For executive teams in banking, insurance and regulated industries — and for executives and Heads of AI navigating broader AI-driven structural market change — I'm interested in the conversation.

r9si.com · cloudprofessionals.biz · aigrowthradar.com (in development)