
The shared context layer is the part that actually changes how we work. Before Actioneer, pulling client data across multiple sources - CRM, campaign platforms, product analytics meant stitching together exports in spreadsheets and prompting ChatGPT with whatever we could manually aggregate. The outputs were inconsistent because the inputs were inconsistent. Actioneer connects directly to the data sources and grounds every query in the client's own metric definitions. Review collected by and hosted on G2.com.
Onboarding takes real time. The initial context-building phase - mapping data sources, codifying metric definitions, establishing the ownership graph - requires meaningful input from the client's data team. For clients who don't have a well-organised data team or clearly defined metrics, this phase can slow the timeline. I Review collected by and hosted on G2.com.