Build self-sustaining AI execution capability delivering $2M-$5M annualized value
You're buying expertise in applying proven patterns, not renting time
Self-sustaining AI execution capability:
You retain 90% of all value beyond fixed fee (example basis)
Accumulated expertise from significant pattern development investment:
What we guarantee (what we control)
Success through systematic validation—build multiple POCs, kill bad ideas fast, scale what works. Methodology refined from enterprise DevOps and AI development experience.
Failed POCs Are Wins: Each "No-Go" decision saves $200K-$500K in avoided waste. Total avoided waste from portfolio validation: $800K-$1M (illustrative example)
Pattern Library: 35+ proven AI-Native patterns
Frameworks: 6-9 months → 2-4 weeks discovery
Coaching: Regular POC guidance from founders
Architecture: Technical reviews and validation
You own 100% of outcomes—we guarantee pattern accuracy + expert coaching
POC Development: Execute all build work
Data & Context: Your business expertise and data
Deployment: Production ownership and operations
Measurement: Track and report business value
Build internal capability, not consultant dependency
Illustrative example showing division of responsibilities and outcomes throughout a year
Key Principle: Redacted provides patterns, coaching, and expertise—you build internal capability and own all outcomes. This example shows the Partnership tier; actual programs vary by engagement tier and organizational context.
Choose your investment level based on expected outcomes
Build self-sustaining AI execution capability delivering measurable business value
Illustrative ROI Timeline: Year 1 delivers 30-40% of target value ($900K measured) as capabilities ramp. Year 2+ achieves 100% value ($3M annualized) at full adoption. 10x ROI achieved in 18-24 months. These are illustrative examples—actual results vary by organization, execution quality, and industry.
From hundreds of enterprise engagements: what drives results
Paul Duvall has built software solutions and systems for 30+ years, with deep expertise in cloud and DevSecOps for more than 15 years. He led large-scale engineering and security programs at AWS and co-founded Stelligent, the first company focused exclusively on Continuous Delivery/DevOps on AWS. He has been building applications with AI-assisted development tools since early 2023.
Now focuses on helping organizations build self-sustaining AI execution capabilities through pattern-based methodology and expert coaching.
Transform your organization with proven patterns and expert guidance. Build self-sustaining AI execution capability delivering $2M-$5M annualized value.