A year ago, many companies were betting on the right AI front door: picking a single assistant or locking into one frontier model provider. Today, many are realizing that the interface layer is changing too quickly. The real place to standardize is underneath it, at the platform level. A few things have changed: - Interfaces are evolving too quickly. One team wants AI in Slack. Another wants it in the browser, the IDE, or inside the tools they already use. If every new surface requires its own approval and policy, companies spend more time governing AI than adopting it. - Frontier pricing is rising while open-source models keep improving. Most enterprise tasks do not require the most expensive model. The advantage will go to companies that can route intelligently by task, not companies that commit too early to a single provider. - Patchwork governance doesn’t scale. Leaders want platform fundamentals: consistent security, centralized visibility into token usage, and proactive cost controls across the system. Companies need infrastructure that can apply policy consistently, provide visibility into usage and cost, and make it easy to change interfaces or models as the market shifts. That is why we built the @glean AI Gateway. It supports 30+ models across open-source and proprietary providers, from OpenAI, Claude, and Gemini to NVIDIA, while keeping security, governance, and cost control in one place. The front doors will keep changing. The companies that get the most value from AI will decouple the interface from the infrastructure behind it.