AI decisioning: building flexible agents, delivering ROI

AI decisioning solves 1:1 relevance for a brand’s lifecycle marketing at scale. Built on reinforcement learning, agents can be highly flexible, configurable to each individual use-case and deliver clear ROI.

To be highly flexible and deliver value requires forward deployed data scientists that work with brands to build each agent, making self-service difficult for many campaigns. While there are times self-service is an option, this paper details the advantages of forward deployed teams for brands that want to build better relationships with customers.

Dive into the guide to learn more about:

• The power of AI decisioning to create true, 1:1 personalization across the customer lifecycle
• How flexible decisioning engines are built and how they evolve
• When brands should consider self-serve AI decisioning agents