Managing AI Costs and Context: Balancing Data Volume with Answer Quality in Your AI Stack

Your AI bill is probably growing faster than the value you're getting from AI. As organizations connect more systems, documents, conversations, and customer data, AI has to process increasingly larger amounts of context. Costs go up. Latency increases. Yet answer quality often stays the same—or sometimes gets worse. At some point, more context becomes noise instead of signal. The challenge isn't giving AI more data. It's helping AI focus on the right data. How is your team thinking about AI costs and context management today? Are you seeing diminishing returns as more data gets connected to your AI stack?