Agents are starting to show up everywhere in competitive workflows. But a lot of the outputs are wrong.

Outdated intel. Missing context. Confident claims that don’t hold up with buyers.

If you're building AI workflows on raw data and a generic LLM, you almost certainly have an agent without a brain, aka a zombie agent.

This isn’t an AI capability issue. It’s a data foundation issue.

And there is an antidote to the zombie agent takeover:

• an intelligence layer to turn signals into verified insights
• a context layer to reflect how your team actually positions

Here's what a full stack should look like:

Without these layers, your AI is just pulling fragments and hoping they’re right. With them, it actually supports your reps with structured, validated answers in deals.

Read this article for a deeper dive into each layer and see what it looks like in practice.