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.
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.
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.
Genuine curiosity because the number varies wildly depending on who you ask.
In conversations with growth teams over the past year, I keep hearing the same range: between 6 and 14 tools in a typical active week. CRM, analytics platform, email tool, content tool, ad platform, spreadsheet, calendar, Slack, sometimes a project management layer on top.
We've been wrestling with this while building dolv. Some tasks feel safe to fully automate - updating a CRM field, drafting a post, scoring a lead. Others feel risky the moment they touch a customer, even if the AI got it right.
Our current rule of thumb: anything reversible and internal can run on its own. Anything customer-facing waits for a human to look at it first.
Curious how other builders (or teams using AI tools day to day) think about this. Do you have a clear line, or does it shift depending on the tool?
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.
