This is the structural problem nobody has a clean answer for.
CRM has the deal stage, the company profile, the last call notes. Analytics has the page visits, the campaign attribution, the conversion events. Your content tool has the posts that went out. Your ad platform has the spend.
There is a category distinction that does not get talked about enough.
Most AI tools in the GTM space are suggestion engines. They produce a draft, a recommendation, a report, a list of next actions. The work still lands on a person to execute.
The default used to be clear. Enterprise went Microsoft. Startups and growth teams went Google.
That line seems less obvious now. I keep seeing fast-growing companies on Microsoft because an enterprise customer required it, and I keep seeing traditional enterprise holdouts experimenting with Google because of AI integration decisions.
This question keeps coming up in almost every product conversation we have.
For internal actions, the trust threshold is relatively low. Drafting a document, scoring a lead, updating a record, running an analysis. Teams are generally comfortable with AI handling these.
Growth teams lose hours moving work between CRM, analytics, email, ads, and content tools. dolv brings that into one workspace. Give it a task: it reads your live funnel, does the work across your connected tools, and reports what shipped. Emails, posts, and ad changes wait for your approval before they go out. You keep the decisions. dolv handles the execution.
Top of funnel looks healthy. Numbers are up. Then you look at MOFU and conversion rates are flat or falling. By the time you reach BOFU, pipeline is thin and the forecast is uncomfortable.
