Agentic AI

Lately, there’s been a lot of excitement (and questions!) around how AI Agents can actually help teams day-to-day. I wanted to share a simple, practical overview of what they’re designed to do and hopefully spark some discussion around how you’re thinking about using them.One of the biggest ideas behind the AI Agents platform is customization. Instead of one generic AI that tries to do everything, you can create as many agents as you want, each tailored for very specific needs.That could be anything from:spotting product materials in packshots checking visuals for regulated content identifying tiny details like dog breeds for tagging or enforcing compliance rules based on your industry  If you’re exploring AI Agents, I’d love to hear:What workflows would you love to offload? Are there tagging, compliance, or production tasks that take up most of your time? What would an “ideal Agent” look like for your team?  Let’s compare notes and learn from each other, the use cases emerging from th

In this clip, Bynder CPO Dominique LeBlond explains how Bynder has long been an early adopter of AI, using it for search, discovery, and classification, but is now moving into the next frontier: Agentic AI.This shift is enabling teams to automate entire workflows, connect previously siloed systems, and streamline complex decisions around content compliance, brand rules, and governance.By letting AI handle the operational tasks, their teams can finally focus on higher-value strategic work. It’s a forward-looking view of how agentic AI unlocks bigger business outcomes through automation and smarter decision-making.