Your AI Agent Keeps Forgetting. Here's Why Context Is the Real Architecture Problem (opens in new tab)

Your finance team tries an AI agent to help close the books. It has access to data. It seems capable. But the results are unsettling: sometimes it cites an accounting policy that expired last quarter, sometimes it mixes data from different legal entities, and sometimes it simply forgets it already approved a step. The team starts to wonder—is this agent helping, or creating more work? This isn't a model problem. It's a context problem. Many teams try to patch this with longer prompts, more co...