Glean and Google Agentspace are two AI products designed to address different enterprise challenges, with Glean focusing on AI-enhanced search capabilities and Agentspace aiming for agent-driven task automation. Despite their promising visions, both platforms face significant shortcomings in practice. Glean excels in unifying enterprise data for search but offers limited automation, while Agentspace aspires to enable sophisticated agent workflows yet remains largely undeveloped and primarily compatible with Google's ecosystem. Credal emerges as a potential alternative, offering a more integrated approach with multi-agent workflows and persistent memory, which could fulfill the automation promises that Glean and Agentspace currently lack. The decision to choose between these platforms depends on an organization's specific needs, technical capabilities, and strategic goals for AI transformation, with many enterprises potentially finding greater value in solutions like Credal or enhanced search capabilities within existing platforms like Microsoft 365 or Google Workspace. Both Glean and Agentspace involve complex integrations and hidden costs, often resulting in vendor lock-in, while Credal offers a more flexible and transparent pricing model.