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Bojan Ciric

About

About Bojan Ciric

Bojan Ciric is an AI and data leader and hands-on practitioner, focused on how intelligent systems are reshaping enterprise architecture, decision-making, and work.

Across more than 25 years in AI, data, and enterprise transformation, he has worked with global banks and Fortune 100 organizations to turn emerging technologies into production-scale capabilities. His approach combines the ability to see what is coming next with the discipline to make it operational today.

At Deloitte, his work has spanned agentic AI, enterprise AI platforms, data architecture, and large-scale modernization. He architected an Agentic AI business-process accelerator designed to significantly shorten deployment cycles, developed an AI Data Toolkit to improve data-management efficiency, served as Chief Architect for an enterprise AI platform for a global bank, and has held product leadership responsibilities for Deloitte AI capabilities. His teams have delivered multi-agent and LLM-based solutions into production environments across global financial institutions.

His work sits at the intersection of strategy and engineering. He remains hands-on with technologies and architectures shaping the next generation of enterprise AI, including agent frameworks, semantic technologies, knowledge graphs, cloud AI platforms, and modern data infrastructure.

Across his career, he has built and scaled new capabilities, led enterprise transformations and large cross-functional teams, and developed AI and data governance approaches for highly regulated environments.

He defined the Knowledge Spine: the concept and architecture for operationalizing an enterprise ontology, so that data, applications and AI resolve meaning through one governed backbone rather than each holding a private version of the truth. The series developing it — from definition through delivery, governance, funding, agentic consumption and autonomous maintenance — is published here.

On BojanCiric.com, he writes about agentic AI, semantic systems, ontologies, AI governance, enterprise architecture, and what happens as intelligent systems become increasingly embedded in how organizations operate.