GÖKHAN MERCANOĞLU
Clear, analytical and actionable perspectives on ERP, CRM, automation, AI and data-driven transformation.
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…
Why do AI pilots keep failing? The problem isn't the technology — it's undefined decision rights and unmeasured outcomes. Build your AI Operating Model properly.
Project count is no longer the right metric for AI success. In 2026, what matters is how deeply artificial intelligence is embedded into daily operations.
A small model is not a secure model. In defense AI deployments, the real challenge is designing the security classification boundary — not picking the…
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For iot-enabled production, 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.