Upbuild
Written by Uptimal, the team that builds and operates Upbuild and runs marketing analytics for multinational clients across the globe. Everything below reflects how Upbuild actually behaves in production.
Every marketing team owns a dashboard graveyard: built for last quarter’s questions, updated out of guilt, opened out of habit. The failure was never the BI tool; it was pre-deciding questions in a business that changes weekly. AI reporting, done properly, inverts the default: the recurring five questions stay on glass, and everything else becomes a conversation against live data.
What “done properly” means
Not screenshots into a chatbot, and not a model hallucinating your ROAS. The load-bearing piece is tool access: the assistant calls the platform APIs itself (MCP is the standard for this), so every number in the answer has a fetch behind it. From there, the assistant’s real contributions are the joins (“blend Meta, Google and TikTok”), the deltas (“versus the prior period”), and the narrative (“write it for the Monday email”).
The new reporting stack, concretely
Layer one: the warehouse and pipelines you already have, unchanged. Layer two: conversational access to platforms and warehouse alike, per person, read-only. Layer three: persistence for what proves recurring: dashboards born from a prompt that stay live, exports described in plain language, alerts checked on every refresh. Layer two is AI Insights and the MCP server; layer three is AI Dashboards, AI Data Exports and AI Alerts. Notice what disappeared: the fortnight of BI backlog between a question and its chart.
A caution earned in production
Assistants inherit the honesty of their tools. Attribution windows, GA4 thresholding, sampling: if the tools do not surface these, the AI will narrate fiction fluently. Evaluate reporting AI on how it handles caveats, not just how pretty the summary reads; our evaluation checklist exists for exactly this.
Ask your ad platforms directly, in Claude, ChatGPT, Copilot Studio or Gemini Enterprise.
Upbuild is an AI platform for marketing data: AI dashboards, insights, exports and alerts, with a read-only MCP server as part of its toolset that brings your accounts into Claude, ChatGPT, Copilot Studio and Gemini Enterprise. Every tool, live data. Free for 14 days on the connector and 7 days on the platform.
Get a demo Start free →Frequently asked questions
Will AI reporting replace our BI tool?
It replaces the long tail of ad-hoc requests and the stale dashboards nobody trusts; the handful of genuinely recurring views survive, increasingly generated and maintained conversationally.
How do we keep AI-reported numbers trustworthy?
Tool-grounded access (every figure from an API call), read-only scopes, and caveat surfacing (windows, thresholding, sampling) are the three requirements; demand all three from any vendor.