Liza Adams
AI and executive advisor; fractional CMO, GrowthPath Partners
On sequencing candidate AI projects for a software company's marketing team
Our takeOpinion
An AI and executive advisor who is also a fractional CMO at GrowthPath Partners describes how a long backlog of AI ideas in a marketing organization was sorted into a sequenced plan, which matters to leaders who must defend where AI money and headcount go. A reader can take from it a way to judge each candidate on three separate questions: what the work itself needs, whether it merits effort now given payoff, difficulty and exposure, and how much independence the AI should hold. It suits marketing teams past the experimentation stage, with many agents and ideas competing for the same people and data. The piece also shows dependencies such as connected data and clear ownership shaping the order of work. Our view is that this is a single enterprise software engagement, with the scoring partly AI-assisted and no outcome data yet, so a smaller team with few candidate use cases may find the full apparatus heavier than it needs.
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