Over the next few months, I expect more AI vendors will announce indexing capabilities, reflecting a broader recognition that indexing, and a system of context built on it, is foundational to enterprise AI. The important question is how deep, permission-aware, and production-ready that index really is. That’s good for the market. But indexing in the enterprise is not just connecting to a few apps and retrieving documents. The hard part is building a system that can crawl data across hundreds of apps, preserve permissions, normalize identities and content, rank what matters, and keep the index fresh. We’ve been doing that at @glean for the past seven years. The advantage is having a solid foundation of context ready before the model starts reasoning. Instead of spending extra loops piecing together fragmented information, AI can get to a better result faster and with less token burn. Search is where this starts, but the impact is much broader than search. It improves the work AI can do across the enterprise. So if more vendors are moving in this direction, it’s validating. Everyone agrees indexing matters. What enterprises need to evaluate is how deep, permission-aware, and production-ready that index really is.