The dashboards are full. GA4 is running. Search Console is connected. HubSpot is tracking. Every Monday someone pulls the numbers, stares at the charts, and asks the same question: so what do we do now?
That gap - between data and decision - is what Orbit is built to close.
The problem I kept seeing
Working with marketing teams and growth-focused businesses, I noticed the same pattern again and again.
They had analytics. They had reports. They had weekly reviews where someone shared a screenshot of a traffic graph and the room debated whether the dip was real or just a blip.
The tools were not the problem. GA4 is genuinely powerful. Search Console surfaces real signals. HubSpot connects it to revenue.
The problem was that none of these tools tell you what the change means for your business - and none of them tell you what to do next.
So teams were making those calls manually, inconsistently, and often based on whichever metric happened to be on screen when someone walked into the room.
What I wanted to build
I wanted a system that could do what a sharp analyst does on a good day: look at what changed, compare it to what was happening before, weigh the traffic signals against the actual business outcomes, and come back with a clear answer.
Not a longer report. Not another dashboard. An answer.
Act. Monitor. Ignore. Or: the baseline shifted, so we need to recalibrate before we decide anything.
Four states. That is it.
The design decision that mattered most
Early on, I had to make a call about where AI fits in this.
The easy path would have been to let a language model evaluate the signals and recommend an action. It would have looked impressive in a demo. It also would have been wrong to do.
Marketing decisions have real consequences - budget allocation, content changes, campaign pauses. Those decisions need to be explainable, repeatable, and auditable. "The AI suggested it" is not a reason a team can act on confidently, or defend to a client.
So I made a deliberate choice: deterministic rules handle the decisions. AI handles the explanation.
The rules engine evaluates changes using logic that can be inspected, challenged, and adjusted. When it reaches a decision state, the AI agents step in to explain the context, generate relevant content if needed, and package the result into something a human can act on or override.
Every decision has an audit trail. Every recommendation goes through a review queue before anything is published. The human is always in the loop.
This is what human-in-the-loop by design actually means in practice - not a feature, but a structural choice made at the architecture level.
What Orbit does today
Orbit connects to GA4, Google Search Console, and HubSpot via secure OAuth - read-only, no service accounts required, GDPR-compliant and EU-hosted.
On each run, it compares current performance to the previous baseline across traffic, search, and business outcomes. It weighs those signals against each other - because traffic going up while revenue goes flat tells a very different story than both going up together.
It classifies every analysis into one of four decision states:
- Act - something is affecting outcomes negatively and needs attention now
- Monitor - an opportunity or stable situation worth tracking
- Ignore - noise; outcomes are unaffected
- Baseline changed - the data structure shifted; decisions are paused until a new baseline is established
For each state, Orbit generates an explanation showing what changed, how it was evaluated, and why a specific action is recommended or deferred. A Content Agent can draft relevant content after a decision. A Report Agent packages the full result.
Everything goes into a review queue. Teams approve or reject before anything is acted on, with notes and a full audit trail.
The result is a system where no one asks 'so what do we do now?' - because the answer is already there, with the reasoning attached.
Who it is for
Orbit is built for marketing teams and anyone responsible for growth who is tired of translating data into decisions manually.
It is not a replacement for GA4, Search Console, or HubSpot. It sits on top of them - a consistent decision layer that removes the interpretation step and reduces the false alarms that waste everyone's time.
If you are spending hours each week staring at dashboards and still not sure whether to act, Orbit is built for exactly that moment.
Try Orbit
Try Orbit free: orbit.proaiassistant.com
Have a workflow that needs the same kind of clarity? Tell us what you need - we build systems like this for businesses every day.