You have data. You probably also have ten dashboards nobody reads. Today, business intelligence: how to make the agent read your own numbers and tell you, in a sentence, what changed and what to do. The goal is an answer, not another chart you scroll past on a Monday.

First, give the agent the numbers, not a screenshot of the numbers. Wire an MCP server into your analytics, like Google Search Console or your database, and let the model pull the rows directly. Now it is reading the live source, the same one your dashboard reads.

Instead of building a report, ask. Type: which pages lost the most search clicks this month, and why. The agent queries the data, does the math, and answers in plain language. You skipped the part where a human exports to a spreadsheet and color-codes it for an hour.

Push it one step further. Ask the agent to turn its own finding into an action: rewrite the three weakest page titles using the queries people actually searched. It reads your real query data and drafts the fix. The insight and the next move come out in the same run.

Write that question into a workflow file so it runs every Monday on its own. Same query, fresh data, a short answer in your inbox before you open your laptop. You turned a recurring report into a recurring answer, which is the only kind anyone reads.

Proof without a figure: we point this at our own site's search data and let the model tell us which pages to fix next, in public. The pages you will see were edited based on what real searchers typed, not on a hunch in a meeting.

So wire one data source, ask one real question in words, save it to run weekly. Start with the one number you actually care about. The walkthrough, with the query we use, is at office dot temerarii dot xyz.