GÖKHAN MERCANOĞLU
Clear, analytical and actionable perspectives on ERP, CRM, automation, AI and data-driven transformation.
The real governance question isn't what AI can decide — it's which decisions require a human signature when they go wrong. Drawing that line correctly is 2026's defining management task.
When an AI agent makes a wrong call, who owns the outcome? A practical governance framework for mid-sized companies navigating agentic AI.
Productivity gains from AI tools collapse at the first audit question or compliance requirement if governance infrastructure was never built. Here is why.
Your generative AI pilot worked. Now the real challenge begins. A practical framework for crossing the gap between pilot success and production value.
AGI hasn't arrived yet, but many boards are already behind. The real question isn't existential threat — it's who is accountable when today's agents make…
Agentic AI changes workflows — but an agent without defined boundaries brings oversight burden, not efficiency. The 2026 enterprise reality.
Increasing the number of AI agents is not a measure of digital maturity. Without an accountability line, every agent deployed accelerates operational risk, not efficiency.
Most companies get seduced by the demo. The real questions in AI-capable enterprise software lie in data architecture, model governance and accountability mapping.
AI Agents won't rescue an SME — but for businesses with documented processes and clean data, they open a real door to enterprise-grade capability. Knowing…
After three years of enterprise AI deployment, murky ROI isn't a technology problem — it's a measurement problem. Value attribution, baseline discipline, and portfolio framing…
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For digital culture, the critical question is not which system to use. The real question is which problem will be solved, which data can be trusted, and which action will be accelerated. Without these answers, solutions look modern but only digitize old habits.