Business cases

Business Impact Through AI, Data & Automation

These business cases show how I translate operational depth into production systems — from LEAN process optimization and data engineering to live AI agents and end-to-end workflow automation.

Each case reflects a deliberate evolution: from operations lead and business builder, through data engineering and BI at scale, to AI automation engineering. Every system shown here ran in a real production environment. Every result is measured.

🧩 You’ll find real-world results like:

🤖 AI agents resolving ~70% of customer inquiries automatically — deployed across 3 live websites, with ~16 second average response time (vs. 13 min 36 sec manually)

⚙️ End-to-end process automation cutting customer response times from hours or days to under 2 minutes — zero manual steps, 24/7

📊 KPI and BI platforms deployed across 6 international markets, enabling self-service decision-making for 50+ stakeholders

🔁 CRM workflows, onboarding logic, and sales reporting systems built to scale commercial performance across teams and markets

📈 Data engineering with SQL, Snowflake and dbt — from raw operational data to clean, decision-ready reporting infrastructure

⚡ LEAN-driven process design and workflow automation that eliminates manual work at the source — not just speeds it up

➤ Start with my most recent case: AI Customer Support Automation →

➤ See the data engineering case: Strategic KPI Dashboards Across 6 Markets →