Grounded AI assistant for marketing teams

AI is useful in marketing when it is grounded in what the team actually does, and risky when it is fed sensitive data or trusted blindly. Cohiva Campaign's assistant is built around both concerns. It is grounded in a team's own campaign history, so its suggestions reflect how this brand works rather than generic filler, and it is kept away from sensitive data by design.

The privacy boundary is the part that matters most for a regulated team. The assistant never receives raw personally identifying information or raw campaign content; it works from aggregated metrics. That means using AI to help with marketing does not put patient data, customer records, or unreleased creative into a model, which is a line many regulated brands cannot cross.

Within that boundary, the assistant earns its place on practical jobs. It can draft a campaign brief from a short description, grounded in the team's own history, and help with copy, so a marketer starts from a useful draft rather than a blank page. The goal is to speed the routine writing, not to replace the team's judgement.

The assistant has no special authority over the controls. Anything it helps produce passes the same approval chain and the same go-live gate as work a person writes from scratch, and every approval and decision is recorded in the append-only audit. The AI is a drafting aid inside an enforced process, not a way around it.

Grounding the assistant in the team's own campaigns is also what keeps its output relevant over time. As the team runs more campaigns, the history it can draw on grows, so a brief it drafts reflects the brand's real objectives, audiences, and channels rather than a generic template. Because the model only ever sees aggregated metrics, that grounding is achieved without exposing the underlying records, which is the balance a regulated marketing team needs from any AI it adopts. Start a free trial of Cohiva Campaign to put a non-bypassable go-live gate behind every launch.