how do you guys handle the conversation with skeptical clients when selling agents?
Summary
A discussion on how to handle skeptical enterprise clients when selling AI agents, with advice to focus on business outcomes rather than the underlying technology.
Similar Articles
After building agent teams for a dozen clients, here's what actually made them trust the system (and stop babysitting it)
The author shares practical insights on building client trust in AI agent systems, emphasizing the importance of narrow scope, robust error handling, and clear communication of system status.
anyone actually running AI agents in production for client work? or still demo-ware?
A discussion questioning whether AI agents are truly being used in production for client work or if they remain mostly demos, reflecting on the gap between hype and real-world reliability.
Who's already deploying agents that make real commitments?
A discussion on how teams handle AI agents making real commitments without human approval, seeking exceptions and insights on liability and legal friction.
Can someone help me buy in or understand the use case for AI Agents?
A software developer questions the practical value of AI agents, expressing concerns about control, accountability, and whether manual automation combined with LLMs is more reliable than delegating to autonomous agents.
Are AI agents actually useful yet, or still mostly hype?
A discussion about whether AI agents are practically useful beyond demos, with users sharing experiences in lead generation, customer support, and workflow automation.