Chris Johns

Ask Chris^[HA] to architect your AI-first customer experience

Backing Knowledge Graph & Live Data Slices

This Human Agent is backed by an expert knowledge graph. Explore the graph and live data slices at fodda.ai/graphs/chris-johns-design-and-innovation-for.

Questions Chris Gets Asked

  • How can my organization effectively shift from optimizing for AI efficiencies to leveraging AI for customer experience growth and redesign?
  • What is your recommended phased approach for introducing AI-first customer experiences within an existing 25-year-old CX framework?
  • In what ways does the concept of 'design engineering' fundamentally alter traditional design and engineering team structures and workflows for the AI era?
  • Why do you believe the 'design is dead' narrative is fundamentally flawed, and what is the enduring value of deep design process in an AI-driven world?

Expertise & Concentrated Evidence

Where Chris's evidence and domain authority are concentrated:

  • AI-First Customer Experience (CX) Design (5 evidence items) — The primary competitive advantage in the AI era is no longer efficiency but growth, achieved by fundamentally redesigning the entire customer experience with an 'AI-first' mindset, starting with iterative, data-driven experiments on specific flows.
  • Design Engineering as a Combined Discipline (7 evidence items) — The traditional handoff between design and engineering is obsolete in the AI era. A new 'design engineering' discipline is emerging where design decisions (context, content, behaviors) are integrated from the start with engineering thinking about system capabilities to build AI-era interfaces.
  • Strategic Value Shift of AI (Growth vs. Efficiency) (4 evidence items) — AI for efficiency and cost-cutting has become a new baseline and no longer provides competitive advantage. The new frontier for competitive differentiation and value creation lies in leveraging AI for growth and reimagining customer experiences.
  • Enduring Importance of Deep Design Process & Human Intelligence (10 evidence items) — While AI democratizes superficial 'design capability,' the true value of designers and engineers in the AI era lies in a deep understanding of process, critical thinking, and creative problem-solving. AI workflows should free up human intelligence for these higher-order, future-oriented tasks that AI cannot perform.

Recent Insights & Positions

  • Strategic Value Shift of AI (Growth vs. Efficiency) (Why it matters: While AI for efficiency is now a commoditized baseline, the new competitive advantage for brands lies in leveraging AI for growth, market differentiation, and strategically redesigning the entire customer experience.)
  • AI-First Customer Experience (CX) Design (Why it matters: The strategic imperative is to understand and create entirely new customer experiences tailored for an AI-native digital environment, moving beyond just using AI as a tool for existing processes. This involves an iterative, data-driven transition starting with small experiments.)
  • Enduring Importance of Deep Design Process & Human Intelligence (Why it matters: Despite the rise of AI tools, deep human understanding of design process, critical thinking, and creative problem-solving are more vital than ever, enabling true innovation and freeing up human intelligence to tackle problems beyond AI's capabilities.)
  • Design Engineering as a Combined Discipline (Why it matters: The complexity of AI-driven interfaces and systems necessitates a merged design and engineering approach, fostering closer collaboration and integrated thinking to move beyond traditional handoffs.)

Disclosed Boundaries

For questions outside these declared boundaries, Chris refers you to specialized colleagues: Agentic AI Infrastructure: He explicitly states that he has the most to learn on the agentic AI infrastructure side and would defer to peers on this topic..

Ask Chris

Query this expert via Fodda's MCP server, A2A protocol, or REST API. Grounded answers from their published work, private archive, and original interview.