Products, Process & Policy
Brian Hull’s work with AI spans three connected business areas: 1. inventing and shipping new advertising products; 2. building systems that help creative teams work faster and more effectively; and 3. establishing governance that helps organizations adopt AI responsibly at scale.
Across all three, Brian builds and leads multidisciplinary teams, aligning creative, product, technology, data, legal, sales, and business stakeholders to move new ideas from 0→1 and into market.
01 Products
Brian creates personalized, contextually relevant advertising products and custom campaigns powered by data, AI, and emerging technology. His work spans conversational AI, predictive advertising, dynamic creative, immersive experiences, and GenAI.
Representative work
Impact
$500M+ in revenue generated
20+ patent contributions
30+ industry awards
Built for a platform reaching 350M+ MAUs
02 Process
Brian builds AI-enabled workflows and creative systems that help teams move faster while protecting client IP and brand integrity. This includes custom in-house GenAI tools, protected enterprise environments, and controls that prevent proprietary inputs from training third-party models.
Representative work
AI Workflow & Automation Systems*
AI Tool Evaluation & Production Framework*
* Contact to schedule a private review.
Impact
Up to 35% faster asset creation
Protected client IP and proprietary creative assets
Established brand-safe environments for commercial AI
Human-in-control workflows for repeatable use at scale
03 Policy
Brian co-develops AI governance frameworks, labeling and disclosure standards, and brand-safe workflows for responsible enterprise adoption. He translates emerging legal and regulatory requirements into practical operating standards and contributes to industry guidance through IAB and AAO.
Representative work
AI Governance & Design Playbook*
AI Labeling & Disclosure Guidelines*
* Contact to schedule a private review.
Impact
Co-developed enterprise AI governance and IP-protection standards
Established labeling and disclosure guidance for commercial AI
Translated legal and regulatory requirements into practical operating standards
Contributes to emerging IAB and AAO standards