“AI-first UX is moving beyond chatbots into embedded, ambient intelligence where AI becomes an invisible layer that anticipates customer needs and translates intent into action,” says Amit Patel, senior vice president of consulting services at Consulting Solutions. “This requires a shift from feature-driven design to intent-driven experiences, supported by strong data foundations, APIs, and governance so AI can act responsibly. The companies that win will treat AI not as a bolt-on assistant, but as a core experience layer that reduces friction, personalizes at scale, and builds trust through measurable value.”
In larger companies, developing AI experiences will require orchestrating work across multiple AI agents, both from SaaS providers and from internally developed systems. Developers will need to update observability standards, automate AI agent testing, define release-ready criteria, review multiagent frameworks, and consider orchestration platforms.
Andrew Filev, CEO and founder of Zencoder, says, “Just as platforms exist to coordinate human teams, AI demands a new orchestration layer: interfaces designed not to do the work, but to visualize, steer, and direct outcomes across multiple agents.”
