A LinkedIn post from Fluid AI highlights a view that traditional enterprise onboarding processes function more as “patience tests” than as user-friendly entry points. The post argues that these flows were designed for human users manually completing forms, but predicts that within a few years AI agents could increasingly perform these tasks on behalf of customers.
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According to the post, this shift could lead to “agents talking to agents,” where one agent brings the customer’s context and another verifies documents, checks mismatches, and triggers approvals while only escalating exceptions to humans. The post emphasizes sectors such as banking, insurance, telecom, and healthcare, where onboarding accuracy and friction can heavily influence long-term customer relationships.
The post suggests that onboarding should be treated as a critical trust moment rather than a back-office administrative step. It implies that companies able to deploy agentic AI onboarding effectively could reduce processing times and improve first impressions, potentially enhancing customer acquisition and retention economics.
For investors, this positioning reinforces Fluid AI’s focus on enterprise-grade AI workflows with particular relevance to regulated, document-heavy industries. If the company can translate this conceptual vision into scalable products and secure adoption among financial institutions, insurers, and telecom providers, it could benefit from growing demand for automation that improves both compliance and user experience.
The emphasis on “agentic” AI also aligns with a broader industry trend toward autonomous systems that can interact with other software agents and back-end systems. This could expand Fluid AI’s addressable market beyond point solutions into wider digital transformation budgets, though execution risk, integration complexity, and competitive pressure from larger AI and workflow automation vendors remain key factors for investors to monitor.