It's not about a spreadsheet exporting itself. It's AI reading the whole volume of data, noticing what changed and delivering the report with the recommendation already in it. It's the thread that ties together everything dottie does.
Automate my reportsMany people call "automation" the simple exporting of data: connecting Meta and Google and watching the number appear on its own in a spreadsheet or dashboard. That solves half the problem, the manual labor, but not the part that matters: someone still has to read all of it and decide what to do.
Real AI automation is the missing layer. Instead of just gathering the data, the AI interprets it: it reads the whole volume, identifies what changed, cross-references your goal and returns the analysis with a recommendation already included. It's like having an analyst who reads thousands of rows and translates them into an actionable conclusion, every week, without tiring.
Marketing reporting today has too much data in too many sources. It's exactly the kind of work where AI stops being decoration and becomes the engine of the operation.
Reads all campaigns, posts and mentions from every source at once, every week, without skipping anything.
Notices the small variation the human eye would miss: what started to drop, what became an opportunity.
It doesn't stop at "up or down." It cross-references the goal and says what to prioritize, pause or investigate.
AI scans and suggests. dottie, together with you, validates and decides. And the golden rule of data applies: bad input yields bad analysis, which is why dottie takes care of structure before intelligence.
The same AI automation becomes three solutions, depending on what your brand needs to read and decide. Each solves a different pain, all with the same engine behind them.
The AI reads your posts, points out what performs and what to prioritize. For those who post well and want to turn effort into direction.
See solution →The AI tracks mentions, PR and influence from several tools at once and flags what deserves attention.
See solution →The AI analyzes campaigns and creatives by the sale that happened (GA4 and CRM) and recommends where to truly invest.
See solution →It's using AI to read the data from your sources, interpret what changed and deliver the report with analysis and a recommendation already in it, without manual consolidation. The difference from ordinary automation is that the AI doesn't just export the data: it interprets and points out what to do.
No. Exporting data automatically is the easy, old part. Real AI automation interprets: it notices the creative that dropped, the mention that shifted in tone, the channel that spends without converting, and recommends the action.
No. The AI scans the volume, notices the detail and suggests directions. dottie, together with you, validates and decides. And if the input data is bad, the analysis is bad, which is why dottie takes care of structure before intelligence.
From a reliable, independent source, defined by the business model: GA4, CRM, own tool or offline sales. Never from the conversion the platform reports about itself. That yardstick is what ensures a reliable number, not an inflated metric.
Tell us what you need to track and decide. dottie shows how AI automation fits your case.
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