Artefact, the global data and AI consulting firm, is showcasing production-ready agentic AI systems at the Databricks Data + AI Summit. Through live demonstrations at booth #674 and a featured session led by Harry Morphakis, the company is highlighting how enterprises can move beyond AI pilots into scalable, production-grade agentic architectures powered by trusted data foundations.
Quick Intel
Artefact is presenting its enterprise AI framework at the Databricks Data + AI Summit, focusing on the transition from experimental AI pilots to production-ready agentic systems. The company argues that most AI initiatives fail not due to model limitations, but because organizations attempt to apply AI on top of legacy processes and outdated operating structures.
By leveraging Databricks-powered architectures, Artefact demonstrates how enterprises can build scalable, governed, and production-grade agent ecosystems grounded in real operational data.
At the center of Artefact’s approach is a structured transformation methodology: redesign business processes before implementing AI agents. This includes identifying tasks that should be eliminated, augmented, or redefined for human oversight, and building new hybrid roles that combine human expertise with AI execution.
The framework emphasizes governance, observability, evaluation, and accountability from the outset, ensuring that agentic systems are not just experimental tools but integrated components of enterprise operations.
Artefact’s approach is supported by its partnership with Databricks, where it operates as a Bronze partner with over 300 certified experts and more than 50 global clients. The company focuses on enabling four key capabilities: AI/BI with Genie, Lakebase, enterprise data warehouse migrations, and agentic AI systems.
This foundation allows organizations to move from fragmented data environments to unified, governed data ecosystems capable of supporting advanced AI workloads at scale.
At booth #674, Artefact is showcasing five live demonstrations that illustrate practical applications of agentic AI across industries:
These demos highlight how agentic systems can improve decision-making, operational efficiency, and customer engagement when built on reliable data infrastructure.
Artefact’s session, titled “The Workforce You Won’t Recognize: Building the Hybrid Organization with AI Agents,” explores how enterprises must rethink workforce design in the age of AI. Instead of replacing human roles, the company advocates for hybrid models where agents handle execution-heavy tasks while humans focus on judgment, strategy, and oversight.
This approach positions AI not as a standalone tool but as an integrated layer within evolving enterprise operating models.
Harry Morphakis, Artefact partner, emphasized that enterprises should avoid “lift-and-shift AI thinking” and instead redesign processes from the ground up before introducing agents. He highlighted the importance of aligning AI systems with business workflows rather than forcing them into legacy structures.
About Artefact
Artefact is a global consulting firm specializing in data and AI transformation. The company helps enterprises drive business value through AI strategy, data governance, AI factories, and customer experience transformation. With 2,000 employees across 27 countries and over 1,000 clients worldwide, Artefact delivers end-to-end AI solutions across industries including retail, financial services, CPG, and technology.
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