Coupa Inspire: What DevCon’s Debut Means for the New AI Era

· Source: AI Magazine · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Operations & Process Management · Depth: Intermediate, quick

Summary

Coupa Inspire 2026, held from May 11-14, 2026, will feature the inaugural AI DevCon, a new technical forum focused on moving enterprise AI from conceptual understanding to practical execution. This event, part of the broader Inspire conference in Las Vegas, targets builders, including Citizen Developers, Coupa admins, solution architects, and technical consultants, aiming to apply AI to procurement, IT, and spend management workflows. DevCon emphasizes agentic AI, enabling systems to execute complex tasks across various platforms and legacy ERP environments. It offers three technical tracks: building custom AI agents with Navi Agent Studio, intelligent orchestration via Coupa Orchestrator, and platform expansion through APIs and integration with existing ERP systems. The forum aims to provide attendees with practical sample projects and code patterns for immediate implementation.

Key takeaway

For AI Product Managers and CTOs evaluating enterprise AI adoption, DevCon's focus on agentic AI and practical implementation signals a shift from "if" to "how." You should explore how autonomous spend management can be engineered now, leveraging low-code/no-code tools to empower a broader range of technical and business users in building AI-driven solutions within your organization.

Key insights

Agentic AI enables autonomous execution of complex tasks across enterprise systems, moving beyond mere prediction.

Principles

Method

DevCon's approach involves building custom AI agents, orchestrating intelligent workflows, and expanding platform capabilities through APIs for autonomous spend management.

In practice

Topics

Best for: Executive, AI Product Manager, CTO, AI Engineer, AI Architect, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI Magazine.