Proprietary AI Accelerators: From Proof-of-Concept to Production
Three working demonstrations of how AI-native development and testing delivers breakthrough speed and cost advantages in the build phases that traditional consulting firms cannot replicate
Accelerator 1: Adobe Edge Delivery Services (EDS) with AI Generation
Delivering state-of-the-art websites in weeks instead of 6-8 months
Adobe's newest platform technology with AI-native development approach
Business Impact
Traditional Approach
- Industry standard: 6-8 months for EDS website delivery
- Block development: 1-2 weeks per component
- Manual coding and testing processes
- Large development teams required
AI-Native Approach (Build & Test Phases)
- Experience Reinvented build phase: Weeks instead of months
- AI-generated blocks: Hours instead of weeks (development only)
- Automated testing and optimization during build
- Small AI-augmented development teams
Standard Adobe EDS build and test timeline compressed through AI-native development approach. Note: Efficiency gains apply specifically to development and testing phases, not broader consulting practices.
Technical Proof Points
Live Working Example
Fully functional Adobe EDS implementation with AI-generated components:
Proprietary AI Methodology
- Private specification codebase with AI instructions
- Methodology based on specification-driven development
- AI agents with defined roles and responsibilities
- Reusable, forkable accelerator framework
Competitive Advantage
- First-mover advantage with Adobe's newest technology
- Proven expertise while competitors are still learning
- State-of-the-art performance and consistency
- Currently piloted at enterprise scale
AI-Native vs Traditional Delivery Timeline
Visual comparison showing 60%+ time reduction across all phases
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Accelerator 2: Enterprise B2B Portal with Complex State Management
Delivering $300K enterprise applications in under 80 hours
Complex shipping portal with 70+ configuration options and advanced functionality
Business Impact
Traditional Approach
- Big consultancy cost: ~$500,000
- Development timeline: 6-12 months
- Large offshore development teams
- Complex project management overhead
AI-Native Approach (Build & Test Phases)
- Experience Reinvented build phase: Under 80 hours
- Single AI-augmented developer for development work
- Rapid prototyping and iteration during build
- Direct client collaboration throughout project lifecycle
Enterprise-grade portal build and test phases with AI-augmented single developer productivity. Note: Efficiency gains apply specifically to development and testing phases, not broader consulting practices.
Technical Proof Points
Live Working Example
Production-ready enterprise portal with advanced functionality:
Technical Complexity
- 70+ shipping configuration options
- Advanced state management and validation
- Multi-step form workflows
- Real-time calculation engine
- Responsive design across all devices
Business Applications
- B2B shipping and logistics platforms
- Complex configuration and quote systems
- Enterprise portal applications
- Multi-step workflow applications
Enterprise Portal: AI-Native vs Traditional Timeline
Complex B2B application delivery acceleration across consulting phases
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Accelerator 3: Social AI Launchpad Marketing Microsites
AI-powered marketing sites with unified Adobe Experience Platform integration
Flexible, on-brand marketing microsites that leverage modern AI capabilities while maintaining enterprise-grade customer data unification
Business Impact
Traditional Marketing Site Approach
- Long development cycles for marketing campaign sites
- Disconnected customer data across platforms
- High maintenance overhead and technical debt
- Slow iteration for marketing campaign changes
- Limited AI integration capabilities
AI-Native Marketing Approach
- Rapid microsite deployment with AI-powered generation
- Unified customer profiles through Adobe Experience Platform
- Lower risk through modern, maintainable architecture
- Faster marketing capabilities with instant iteration
- Best-in-class Adobe AEP integration (CDP, CJA, AJO)
AI-powered marketing microsites that maintain enterprise-grade Adobe Experience Platform integration while delivering the speed and flexibility marketers demand for campaign execution.
Technical Proof Points
Live Working Example
AI-powered marketing microsite with Adobe Experience Platform integration:
Adobe Experience Platform Integration
- Unified Customer Data Platform (CDP) connectivity
- Customer Journey Analytics (CJA) integration
- Adobe Journey Optimizer (AJO) orchestration
- Leverages Adobe's massive SaaS customer base data
- Modern AI capabilities with enterprise data foundation
Marketer Value Proposition
- On-brand consistency: Maintains brand standards automatically
- Rapid deployment: Stand up campaign sites in days, not weeks
- Lower risk: Modern, maintainable architecture
- Unified customer profiles: No data silos or integration gaps
- AI-enhanced: Leverage latest web AI capabilities
Marketing Microsites: AI-Native vs Traditional Timeline
Rapid marketing campaign deployment with 75% time reduction
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Why These Accelerators Create Unassailable Market Position
18-36 month competitive moat while traditional firms debate AI transformation
Adobe Credibility + Speed
First-Mover Advantage with Adobe's Newest Technologies
- AEM Rockstar 2024 winner with AI-driven solution
- Deep Adobe ecosystem relationships and early access
- Proven delivery while competitors are still learning
- Adobe Edge Delivery Services expertise when few others have it
AI-Native Teams vs. AI Products
Training AI-Fluent Workers, Not Just Buying AI Tools
- Big consulting focuses on AI product procurement
- We focus on AI capability development in human teams
- Portfolio-first, resume-second hiring approach
- Monthly AI capability workshops and continuous learning
Proven Execution vs. Strategy Documents
Working Examples While Competitors Plan
- Three functioning accelerators with public demos
- Measurable delivery improvements documented
- Currently piloting at enterprise scale
- Investors can interact with actual results today
"While legacy consulting firms face 18-24 month transformation cycles due to organizational inertia, we're delivering AI-native solutions today. This execution gap creates our market entry window and establishes lasting competitive advantages."
AI-Native Delivery Methodology
How We Achieve 60-90% Time Reductions
Specification-driven development with AI agents in defined roles
Methodology Overview
Specification-Driven Development
- Detailed specifications become AI collaboration blueprints
- Human expertise guides AI execution
- Continuous iteration and refinement
- Quality maintained through AI-assisted testing
AI Agent Role Definition
- Each AI agent has specific responsibilities and constraints
- Human oversight ensures business logic alignment
- Automated code generation with human quality control
- Real-time collaboration between human expertise and AI capabilities
Technical Implementation
Private AI Instruction Repositories
- Proprietary prompt libraries for common development patterns
- Reusable specification templates for rapid project starts
- Version-controlled AI collaboration protocols
- Continuous improvement based on project outcomes
Quality Assurance Integration
- AI-assisted testing and validation throughout development
- Automated performance optimization and security scanning
- Human review of all business logic and user experience decisions
- Client collaboration integrated into AI-assisted development process
See Our AI-Native Delivery Model in Action
These accelerators demonstrate why we can capture market share during the 18-36 month window before traditional firms successfully pivot to AI-native delivery.
Next Steps
Contact: jack.jin@experiencereinvented.com
- Schedule technical demo and discussion
- Review detailed business plan and financial projections
- Explore partnership or investment opportunities