Content design and AI strategy for regulated environments
I build omnichannel content systems that unify AI implementation, regulatory compliance, and cross-functional strategy. Enabling enterprises to deploy AI at scale while maintaining trust, accuracy, and legal requirements across complex ecosystems.
Selected work
Published thought leadership, AI content design, and enterprise healthcare strategy
Content as Behavior: A Diagnostic Lens for AI Readiness
Most AI content failures aren't model failures. They're system failures the model inherited.
This piece introduces SignalScale: a diagnostic framework for assessing how content systems behave under AI interpretation. Drawing on enterprise case studies including NYC MyCity and Air Canada, it reframes content quality as structural evidence, not editorial opinion.
Published through Content Science in collaboration with founder Colleen Jones.
Kidmo – Behavioral Design System for Family Financial Literacy
Designed and shipped a fully functional web app that turns allowance into a real economy for kids. Built multi-kid switching, parent/kid modes, and behavioral loops that make money feel tangible. Validated through 6+ months of daily use with a real child.
CVS Mobile Homepage Redesign: Leading With Trust
Led content strategy for the CVS mobile homepage serving 60M+ members, building an omnichannel content system that unified pharmacy regulation, retail conversion, and healthcare empathy.
Created frameworks that flex across clinical accuracy, promotional urgency, and trust-building without breaking tone. Proving that emotionally intelligent content scales in regulated environments.
Enterprise AI Content Design: CVS Health
Led Writer AI implementation for a 60M+ member healthcare platform, building the prompt libraries, content infrastructure, and governance frameworks that made enterprise AI usable in a regulated environment. Then drove adoption across clinical, legal, compliance, and product teams.
Designing an AI-Ready Content System for Healthcare
Built taxonomy, metadata schema, and governance framework demonstrating how to structure complex content for both human navigation and AI retrieval.
A portfolio demonstration of content infrastructure design for AI implementation.
Frameworks & thinking
Tools and perspectives for AI readiness, content systems, and strategic design.
SignalScale™: The AI Readiness Framework
AI doesn't fix broken systems. It accelerates them.
SignalScale™ is a diagnostic framework that reveals whether your content infrastructure is ready for AI implementation, or if AI will amplify existing structural problems at scale.
Built while collaborating with LLM and data science teams at CVS Health, the framework scores organizational readiness across Structural, Strategic, Operational, and Ethical and Inclusive dimensions.
The core insight: If your system can't reliably serve a user with a disability, it can't reliably serve AI. Accessibility isn't a compliance checkbox. It's the diagnostic that reveals every structural failure.
Forensic UX: Content as diagnostic evidence
Content reveals organizational truth.
Bad labels aren't writing problems. They're evidence of unclear ownership. Inconsistent tone isn't a style issue. It's proof of misaligned teams. Vague error messages aren't poor UX. They're symptoms of technical debt no one wants to name.
Forensic UX is a methodology for reading content as diagnostic evidence. It teaches you to see patterns in language that expose structural problems, power dynamics, and decision-making failures.
Because fixing the content without fixing the system just creates better-written dysfunction.
Thought leadership
Published in Content Science Review, and featured in Bootcamp, Ditto, Scroll UX, AI Mind, and other publications.
For deeper dives, explore the ongoing conversation on Medium.
Scroll UX featured this perspective:
"When language shifts from 'just writing copy' to 'language as infrastructure,' content design isn't an add-on — it's central. If systems, data, and governance aren't aligned, AI won't fix it. It will amplify the misalignment."
Signal vs. Noise: Rethinking Content Strategy in the Age of AI
When language becomes infrastructure, content strategy becomes mission-critical.
Published in Bootcamp, June 2025
This article argues that without strategic alignment across systems, governance, and intent, AI doesn’t create clarity — it amplifies chaos. It reframes content strategy as the primary lever for trust, coherence, and scale in an AI-saturated environment.
Beyond Efficiency: How Content Designers Should Be Thinking About AI
AI isn’t a shortcut — it’s a collaborator.
Published in Ditto – October 2025
This article challenges efficiency-first narratives around AI and makes the case for content designers as strategic partners in shaping how AI systems communicate, reason, and behave. It outlines a more responsible, design-led approach to AI adoption in real product environments.
AI Will Scale What You Refuse to See
Accessibility isn’t compliance — it’s the earliest warning system for AI failure.
Published in Bootcamp – July 2025
This piece reframes accessibility as a structural readiness test, showing how AI magnifies invisible design debt, behavioral blind spots, and governance gaps across complex content systems.
How Ready Is Your Organization for AI?
AI doesn't fix broken systems — it reveals them.
Published in Bootcamp – October 2025
This article introduces a diagnostic framework for assessing AI readiness across content teams. It shows how AI implementation exposes invisible design debt, behavioral blind spots, and governance gaps across complex content systems — and what to fix first.
Let's connect
Whether you're building AI content systems, untangling organizational complexity, or just want to talk about the state of content design, I'm up for a conversation.
Send me a message below, or email me directly at iantrichards@icloud.com
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