AI Transformation & Intelligent Systems

Lessons from Building National Grid’s Intelligence Hub, Skyminder, and Trail Chews

By John Francis

The 90-Day Intelligence Hub That Changed Everything

National Grid had a problem that 71% of Fortune 500 companies share: 40+ disconnected data platforms, siloed departments, and executives making million-dollar decisions with 10% visibility.

Traditional consulting approach: 18-24 month implementation, $5-10 million budget, armies of analysts.

DreamWay Media’s approach using Generative Experience Design: 90 days, proof-of-concept delivered, AI discovering insights humans couldn’t see across siloed systems.

The AI found something nobody expected. Community investments made 6 months before regulatory reviews had 3x the impact on approval speed. Marketing knew about the investments. Regulatory knew about the timelines. But the connection stayed invisible until AI unified the data and found the pattern.¹

That’s Generative Experience Design (GXD) in action. Not AI making pretty pictures. Not ChatGPT writing microcopy. AI integrated throughout the entire design process to discover what humans can’t, build what would take months, and optimize continuously in ways manual workflows never could.

We’ve been doing this for years. Here’s what we’ve learned.

What Is GXD (And Why Most Teams Are Doing It Wrong)

Generative Experience Design is the practice of integrating AI as a collaborative partner throughout your entire design workflow to accelerate research, expand ideation, generate alternatives, test at scale, and optimize experiences continuously.

Most teams think they’re doing GXD because they use Midjourney for images or ChatGPT for copy. That’s not GXD. That’s using an AI tool for one task.

Real GXD means AI touches every stage: research, strategy, ideation, design, content, testing, optimization. Not replacing humans. Collaborating with them.

Think of it like this: traditional design uses human creativity with software tools. GXD uses human strategy with AI collaboration at every decision point.

The difference shows up fast when you’re trying to ship.

The Three Projects That Taught Us How GXD Actually Works

National Grid Intelligence Hub: Enterprise AI Architecture

40+ data platforms. Dozens of departments. Zero visibility across silos.

We used GXD to build their Intelligence Hub proof-of-concept in 90 days.

What AI handled: Data architecture mapping, cross-department correlation discovery, pattern identification in years of historical data, predictive model development, dashboard optimization.

What humans handled: Strategic direction, stakeholder alignment, business logic validation, executive storytelling.

The key insight: AI can process thousands of data relationships simultaneously to find non-obvious correlations. Humans provide the business context to determine which correlations actually matter.

Traditional timeline for this scope: 18-24 months. Our GXD timeline: 90 days.

See the case study here.

Skyminder: Building a Complete Product with AI

Skyminder is an AI-powered productivity platform we built from concept to launch using GXD across every stage.

AI generated: Complete user interface design, brand identity (colors, typography, voice), all product content, competitive positioning strategy, multi-channel marketing direction.

Humans refined: Brand personality, market positioning, user flow prioritization, business model architecture.

Here’s what made it GXD instead of just “using AI tools”: we didn’t ask AI to execute our predetermined vision. We used AI to generate dozens of strategic alternatives at every decision point, then applied human judgment to select and refine the best directions.

Traditional timeline: 6-9 months. GXD timeline: 6 weeks.

Learn how we built Skyminder.

Trail Chews: Complete Brand Creation via AI Collaboration

Trail Chews is a product brand we built from zero to market-ready using AI.

AI handled: Product positioning exploration (generating 20+ alternative approaches), visual brand identity development, packaging design concepts, web and marketing content, go-to-market strategy framework.

Humans provided: Market validation, customer insight interpretation, final creative direction, brand personality definition, strategic launch decisions.

The breakthrough: we didn’t limit AI to execution. We used it as a brainstorm partner that never runs out of ideas, never gets tired, and always offers alternatives we wouldn’t have considered.

What Most Teams Get Wrong About GXD

Mistake 1: Using AI for One Task Instead of the Entire Workflow

We see it constantly. Teams use AI to generate images. Or write copy. Or analyze data. One task. One tool. One stage of the process.

That’s not GXD. That’s task automation.

Real GXD means AI augments your entire workflow:

Research: AI analyzes thousands of user behaviors, competitive data points, and market signals in hours. Humans interpret strategic implications.

Ideation: AI generates 50 concept variations. Humans select the 3 most promising and refine with brand understanding.

Design: AI produces wireframes, components, interaction patterns. Humans add emotional resonance and brand soul.

Content: AI writes first drafts across channels. Humans inject personality and strategic messaging.

Testing: AI runs automated analysis. Humans make strategic decisions about what changes to implement.

Optimization: AI adapts in real-time. Humans evolve the strategic direction.

Most teams use AI in one step. DreamWay Media uses it in all of them. That’s why we ship 6x faster.²

Mistake 2: Treating AI as a Tool, Not a Brainstorm Partner

Here’s where GXD gets powerful: AI as your alternative-thinking partner.

When we built Trail Chews, we didn’t just tell AI what to build. We used it to challenge our assumptions.

“Here are three positioning approaches we’re considering. Generate 10 more we haven’t thought of.”

“Here’s our color palette. Show me 15 alternatives based on psychology research and competitor analysis.”

“Here’s our messaging framework. Rewrite it from 5 completely different strategic angles.”

AI becomes the brainstorm partner that never runs dry, never defaults to familiar patterns, and always pushes you to explore more of the solution space.³

That’s where speed compounds. You’re not just executing faster. You’re exploring 50x more strategic directions than manual workflows allow.

Mistake 3: Separating AI and Human Work Instead of Integrating

The worst GXD implementations treat AI and humans as separate lanes.

AI generates content in one phase. Humans review in another phase. It’s a handoff, not collaboration.

DreamWay Media’s approach: continuous feedback loops at every stage.

AI suggests. Human refines. AI generates alternatives based on refinement. Human selects direction. AI executes at scale. Human adds strategic nuance. AI optimizes based on results.

It’s iterative collaboration, not sequential handoffs.

The Core Principle: Augment Everything, Everywhere

Here’s what we learned building Intelligence Hubs, Skyminder, and Trail Chews:

Teams that win with GXD don’t use AI for isolated tasks. They augment their entire workflow with AI at every decision point.

When AI touches research, strategy, ideation, design, content, testing, and optimization, the effects compound exponentially.

You’re not 10% faster at design. You’re 40% faster overall because gains at every stage multiply.⁴

You’re not just getting better images. You’re exploring strategic alternatives that would take weeks to consider manually.

You’re not just writing faster. You’re testing dozens of messaging variations and optimizing in real-time.

That’s the difference between using an AI tool and implementing GXD.

Real ROI: The Numbers Behind GXD

71% of organizations using generative AI report average ROI of $3.70 for every dollar invested.⁵

Productivity improvements of up to 40% in marketing, design, and customer experience functions.⁶

84% of CX leaders already use AI for customer interactions, reporting faster delivery (67%), reduced wait times (62%), and increased accuracy (53%).⁷

DreamWay Media’s projects show even more dramatic results: 6-week timelines for work that traditionally takes 6-9 months. 90-day enterprise implementations versus 18-24 month consulting engagements.

The teams not adopting GXD aren’t just slower. They’re exploring a fraction of the strategic possibilities.

What This Means for Your Organization

If You’re a Designer

Your value isn’t pixel-pushing. It’s strategic thinking, brand understanding, and emotional resonance.

Let AI handle mechanical execution. You focus on the creative direction that AI can’t replicate.

If You’re a Design Leader

Your competitors are shipping in weeks what used to take months. They’re exploring 50x more strategic directions. They’re optimizing continuously instead of quarterly.

The longer you wait to adopt GXD, the wider the gap becomes.

If You’re an Executive

GXD isn’t a design trend. It’s operational advantage.

Organizations using GXD explore more strategic alternatives, ship faster, and optimize continuously. Organizations without it are operating at 2020 speed in a 2025 market.

The Future Is Already Here

Multimodal AI will generate complete campaigns from single prompts by 2025. Text, images, video, interactive elements, unified workflows.⁸

Real-time generative applications will adapt experiences instantly based on behavior and context.⁹

Generative AI could add $2.6 trillion to $4.4 trillion to global GDP annually.¹⁰

DreamWay Media isn’t waiting for the future. We’re building it.

Ready to See How We Actually Built These?

We’ve shown you the principles and lessons from years of GXD implementation.

If you want to see the actual workflows we used to build National Grid’s Intelligence Hub, Skyminder, or Trail Chews, let’s talk.

We can show you:

The exact AI integration points in our design process
How we balance AI generation with human strategic thinking
Where AI actually accelerates (and where human judgment remains critical)
How we maintain brand consistency across AI-generated content
What ROI looks like for your specific use case

Book a 30-minute GXD consultation: ai.dreamwaymedia.com

Download our GXD implementation framework: See the exact process we used for Intelligence Hub, Skyminder, and Trail Chews.

Stop reading about GXD. Start implementing it.

Your competitors already are.

Sources and Citations

DreamWay Media. (2024). “National Grid Intelligence Hub Case Study.” Internal project documentation.
Design Rush. (2025). “Generative AI ROI 2025: Design Transformation.” https://news.designrush.com/generative-ai-roi-2025-design-transformation
EIMT. (2025). “The Future of Generative AI: Trends to Watch in 2025 and Beyond.” https://www.eimt.edu.eu/the-future-of-generative-ai-trends-to-watch-in-2025-and-beyond
Design Rush. (2025). “Generative AI ROI 2025: Design Transformation.”
Ibid.
Ibid.
Master of Code. (2025). “Generative AI for Customer Experience.” https://masterofcode.com/blog/generative-ai-for-customer-experience
EIMT. (2025). “The Future of Generative AI: Trends to Watch in 2025 and Beyond.”
Ibid.
Ibid.

John Francis is Lead Information Architect and AI Product Manager and founder of DreamWay Media, specializing in Intelligence Hub implementations and Generative Experience Design for Fortune 500 enterprises.

Tags: #GXD #GenerativeExperienceDesign #IntelligenceHub #AIDesign #EnterpriseAI #DreamWayMedia

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Generative Experience Design (GXD). The AI Methodology That Transformed How We Build Products