The ROI of AI agents in DAM: From content planning to campaign performance

Bynder argues that AI agents in DAM justify themselves not through search improvements but through end-to-end workflow compression: content planning, asset selection, rights validation, and campaign performance analysis handled by the same agent layer. The ROI case is less about individual task savings and more about eliminating handoffs between systems. It's a capital-E Enterprise pitch, but the workflow logic holds at smaller scale.