AI Agents for Marketing Are Here: What Marketers Need to Know Now

# What changed

# Where agents add value Forrester groups agentic marketing work into seven functional categories with 52 use cases. These categories clarify what agents are being asked to do and where to evaluate investment:

• Data: transform, structure, unify, and enrich inputs for downstream systems.
• Analytics: produce insights, predictions, recommendations, and decision support.
• Measurement: evaluate performance and optimize against outcomes.
• Content: produce and manage creative assets.
• Operations: coordinate resources and optimize processes.
• Orchestration: execute programs and campaigns across channels.
• Experience delivery: automate and optimize customer-facing interactions.

# The practical limits Agentic AI promises speed and efficiency, but it isn't a free resource. Forrester highlights several real constraints:

• Implementation and maintenance require people and oversight.
• Ongoing usage and more sophisticated agents drive rising costs.
• Organizations cannot run unlimited agents across every task without exceeding resources.

These limits mean marketers must be selective and intentional about where to deploy agents so they deliver measurable business value.

# How to decide: a readiness framework Forrester's AI Agent Use Case Readiness Tool evaluates each use case across four concrete dimensions:

• Priority: Is this use case important enough to pursue now?
• People: Are the necessary stakeholders identified, assigned, and prepared?
• Process: Is the supporting process designed, implemented, and optimized?
• Technology: Has the relevant technology been scoped, piloted, or put into production?

# How to use this in your planning Start by mapping current pain points and opportunities to the seven categories and 52 use cases. For each high-potential use case, run the four-dimension readiness assessment. Use the resulting readiness scores to phase pilots, allocate budget, and schedule stakeholder training. Prioritize quick wins that require minimal process redesign and clear stakeholder ownership, and reserve more complex or costly agents for after proof points are established.

# Practical next steps

• Inventory current workflows and tag potential agentic replacements by category and use case.
• Convene the cross-functional owners who must support each use case (marketing ops, data, creative, measurement).
• Run the four-dimension assessment for top candidates and calculate readiness scores.
• Pilot one or two high-readiness, high-priority agents, track cost and outcomes, then scale based on results.

# Attribution