Empowering Marketing Teams with AI Agents for Improved Efficiency
Platform: Web App | Industry: Marketing | My Role: Sr. UX Designer & Internal Communications Lead
Summary
This project focused on integrating AI agents into the daily workflow of marketing professionals to streamline repetitive tasks, enhance insights, and improve outcomes. I collaborated with a cross-functional team, contributing as the lead UX designer.
Problem Statement & Goals
Problem: Marketing teams were spending a significant amount of time on manual tasks such as data analysis, content generation, and customer segmentation. This took time away from strategic and creative work.
Goal: Develop an AI-enhanced work process that reduces time spent on repetitive tasks, enables faster decision-making, and enhances campaign personalization.
Research & Key Insights
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user needs
Design Process to MVP
process flows
data flows
Initial wireframes
Finished Product




Internal communication
Effective internal communication is essential to ensure that the AI agent integration is well-understood, adopted, and used effectively by the marketing team. The following strategy outlines communication goals, tactics, and touchpoints to drive alignment, engagement, and feedback.
Communication Goals
Build Awareness: Ensure all team members understand the purpose, benefits, and impact of AI agents in their workflow.
Increase Adoption: Encourage early engagement with the AI tools and promote gradual adoption by emphasizing productivity gains.
Educate & Empower: Provide training and resources to boost confidence and competence in using AI agents.
Collect Feedback & Iterate: Establish feedback channels to refine the AI features based on user experience and improve alignment with team needs.
Key Messaging
Purpose of AI Integration: "AI agents are designed to support and empower marketing teams by automating repetitive tasks, enhancing data insights, and allowing more time for strategic and creative work."
Benefits to Team Members: Highlight specific benefits, such as saving time on manual tasks, improved personalization in campaigns, and more informed decision-making through accessible insights.
Transparency & Control: Reassure users that they maintain control over AI suggestions and have visibility into AI-driven recommendations.
Iterative Improvement: Communicate that user feedback is central to refining the AI agents to best serve their needs.