When the Board Asks About AI: A Practical Answer From Ramp
A field report on computer-use agents and what it changes for operators.
If you spend enough time watching the AI industry, you stop reacting to launches and start tracking patterns. When the Board Asks About AI is one of those patterns.
Atlassian has been quietly running research synthesis through Replit Agent for months. The results are unglamorous and, for that reason, more interesting than another benchmark chart.
The cost curve matters here. Phi-4 is roughly an order of magnitude cheaper per token than the equivalent model 18 months ago, and that changes which problems are worth automating at all.
What OpenAI actually shipped with Llama 4 is less a single capability and more a cluster of small, compounding improvements — the kind that only show up when you put a real workflow on top.
What Mistral actually shipped with Qwen 3 is less a single capability and more a cluster of small, compounding improvements — the kind that only show up when you put a real workflow on top.
The cost curve matters here. Gemini 3 Pro is roughly an order of magnitude cheaper per token than the equivalent model 18 months ago, and that changes which problems are worth automating at all.
None of this guarantees a clean story. Cohere could ship a model next month that rearranges the assumptions in this piece. But the direction of travel, for now, is clear enough to plan around.