How Cape.io Ad Delivery works

The shift to agentic AI isn't happening the way most vendors describe it. There's no cliff where enterprises suddenly ditch their AI wrappers and commit to full agent orchestration. Instead, they're moving through layers, testing frameworks with one team, keeping production systems stable on another.

Understanding the real challenges of gambling & sports betting advertising in the US

Cape.io has powered Brazil's general elections for four editions, managing 500 channels and 155 million voters. Here's how we do it.

You're about to spend $500K on an AI initiative. You've got 3 options on the table, and they'll lead you to wildly different places. Pick wrong, and you're rebuilding in 18 months. Pick right, and you'll have a system that scales, costs less to maintain, and actually does what executives promised.

The choice is between wrapping existing AI models, building custom AI solutions from scratch, or going agentic. Most teams don't understand the real trade-offs until they're locked into the wrong one.

Operationalizing AI in advertising isn’t about adding another tool to your stack. It’s about embedding intelligence into the systems that govern creative production, compliance, and delivery, so automation scales without creating more operational friction.

As ad compliance requirements evolve in 2026, UK confectionery brands face new restrictions on less healthy food (LHF) advertising. With the January 5 watershed now in effect, ad quality assurance systems must validate timing, placement, and product identifiability to avoid clearance failures this Easter season.