From the course: Building AI That Remembers: Architecting Reliable, Context-Aware Enterprise Agents

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Agents without memory redo work and break trust

Agents without memory redo work and break trust

From the course: Building AI That Remembers: Architecting Reliable, Context-Aware Enterprise Agents

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Agents without memory redo work and break trust

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In chapter one, we saw how agents at Big Star Collectibles move from simple workflows to autonomous planning. But even the most brilliant plan fails when the agent forgets everything between interactions. This forgetting problem is why so many of these AI pilots are stalling in the enterprise. Let's look at a typical Tuesday at Big Star. Marcus deals with the fallout of a stateless chatbot with no memory. 9 a.m., a loyal customer named Elena contacts the AI about a missing $400 limited edition vinyl record that she ordered. The bot checks the tracking. It was delivered, denies the claim. At 10.30 a.m., Elena calls back, this time with a police report number. Now a different bot instance picks up, remembers nothing, and asks her to start over. Okay, now it's 1 p.m. Elena reaches Marcus live. She's not happy. Marcus manually reads through three different system logs because the AI, it stored nothing. He spends 45 minutes on a task that should have taken five. Okay, you're a business…

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