Transforming Consumer Industries in the Age of AI 2025

Sets overarching marketing strategy; delegates execution to subordinate agents while ensuring alignment with strategic goals and objectives Translates overarching strategy into actionable plans; identifies insights required for data-driven marketing decisions and campaign guidance Scans through and collects historical marketing data, consumer insights and industry trendsDesigns and manages campaign strategies; details deliverables, milestones and overall structure for successful campaign execution Evaluates insights and strategies to ensure logical consistency and alignment with market growth targetsDelivers recommenda- tions on audience targeting, messaging effectiveness and channel performanceDevelops detailed campaign plans including scheduling, budgeting and messagingOrchestrator agents Assign tasks to other agents Coordinate task approach across multiple super agents, and in some cases, will directly contact utility agents Super agents Understand user intention and goal Mobilize configuration of necessary utility agents to achieve goal Utility agents Execute sets of basic tasks autonomously1 2 3OrchestratorAI agent hierarchy definitionAI agent hierarchy treeSuper (strategist) Super (planner) Utility (research) Utility (insight) Utility (channel) Utility (campaign)Prompt: How can we increase the market share of our new product by 5% in the next 12 months?2.3 Agentic teams as collaborators The critical advances that drive AI to its potential will come as companies continue to pivot from using AI as a tool to using agentic teams as collaborators. The rapid advancements in reasoning and cognitive capabilities in genAI models open the door to ubiquitously available autonomous agents (and teams) operating alongside humans in hybrid workforces. Mirroring human organizational structures, for example, each AI agent can hold a different purpose, rank and role – from “orchestrators” (assigning and coordinating tasks) to “super agents” (mobilizing other agents to achieve goals) and “utility agents” (executing sets of tasks). In this way, they can work together to execute entire business workflows. Figure 8 offers an example of an agentic network supporting marketing workflows. Deploying agents in these ways could drive a 25-35% reduction in manual steps and a 6% cost decrease while achieving a 25-55% increase in speed to market.25 Embedding agentic AI into marketing workflows FIGURE 8 Source: Accenture AI refinery powered by Nvidia. Transforming Consumer Industries in the Age of AI 15