Screendragon Launches AI Hub for Custom Marketing Agents
Screendragon announced AI Hub, a new feature in its Agentic Marketing Orchestration platform that lets marketing teams and agencies build and run their own AI agents inside existing workflows. The tool is available immediately to all Screendragon customers.
The launch addresses a gap between AI adoption and actual control. Teams have access to AI tools but often lack governance over how those tools operate across their business. AI Hub embeds AI agents directly into workflows where marketing work happens-from briefing and content creation to approvals and compliance checks.
How It Works
AI agents built in AI Hub plug directly into live workflows and automate specific marketing tasks. Teams retain control over which AI models run, when they run, and how outputs are handled.
The platform lets teams:
- Route work across different AI models based on cost, speed, and performance
- Use open-source models where appropriate
- Avoid vendor lock-in with a single AI provider
- Maintain brand consistency and compliance across AI-generated outputs
"The market is shifting from selling AI access to controlling AI execution," said John Briggs, CEO of Screendragon. "Teams have access to AI, but no control over how it runs across the business."
Part of a Larger AI System
AI Hub is one component of Screendragon's broader AI offering. The platform also includes pre-built embedded agents for common tasks, advanced design tools called AI Studio, and expert support through AI Foundry for custom workflows.
This layered approach lets teams start with ready-made solutions and evolve toward fully customized, enterprise-grade AI execution as their needs grow.
The Cost Problem
AI usage scales quickly. Costs often scale faster. AI Hub gives teams cost control by letting them choose which models handle which tasks. Teams can optimize for expense without sacrificing speed or quality.
Anne Cogan, CMO at Screendragon, said the shift from isolated AI experiments to integrated workflows changed how her team works. "Now it is built into how we work, improving speed while maintaining full control and compliance," she said.
For marketing teams looking to move AI for Marketing beyond experimentation, AI Agents & Automation inside existing workflows represents the next operational step.
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