Klaus Tulipan

Senior solution and enterprise architect — 25 years building Salesforce, integration and transformation across industries (banking, energy, telco, retail, media). That foundation is what makes my AI work credible: I don't advise on AI from the outside — I build it.

Most companies use AI for productivity today: chatbots, copilots, automation — the visible early wins. The larger value is still ahead, and most don't know how to get from safeguarding AI to scaling it.

That bridge is my focus: AI seen not only through governance and compliance, but through performance and operational value — real AI applications beyond chatbots, and the architecture that makes them safe to run.

Four fields of practice:

• AI architecture, AI-native — production AI systems (RAG, retrieval, agents) on Microsoft Azure AI Foundry; use-case selection: identifying where AI actually creates value

• AI governance & EU AI Act — high-risk inventory, audit-ready architecture, ISO/IEC 42001 (AI auditor in qualification, cert Q3 2026)

• Salesforce & enterprise integration — 10+ implementations, CRM transformation, Salesforce↔SAP, data migration, integration architecture

• Enterprise architecture in regulated industries — banking heritage (Commerzbank, Dresdner Bank), target operating models, architecture reviews

Two examples of the bridge from compliance to impact:

• A machine builder embeds AI for predictive maintenance — what starts as a compliance project becomes a direct revenue and cost-saving source.

• An organisation with strict data requirements deploys a local knowledge engine (RAG) — making decades of archived knowledge usable, without data ever leaving the house.

For executive teams and Heads of AI who need both: AI that is safe to run and worth running. Happy to have the conversation.