AI Needs Clean Architecture
We Build It!
91% of enterprises lack the architectural foundation for AI
We’ve been building these foundations for 25 years
Your transformation starts here.
Why 95% of AI Initiatives Struggle
MIT research confirms what I've seen for 25+ years:
Only 9% of enterprises have
data ready for AI.
The successful 9% understand one truth:
Architecture determines ALL
renovation or remodeling outcomes.
AI Integration is no exception.
The path to emerging AI success is indeed a classic one
— Foundation first, intelligence follows.That much is entirely expected, as before.
Yet now the "Fast Follower" ticket
— Vadim Kuhay, Founder & Enterprise Architect
no longer buys access to green,
only the basic pass to watch the others play.
I predicted this outcome in July 2023.
Your Path to AI Readiness
Where You Are Now
- Data scattered across 12+ systems
- 20+ years of technical debt
- Legacy systems that won't integrate
- Board demanding AI yesterday
With 95% of AI pilots failing (MIT) and 63% lacking proper data practices (Gartner),
you're not alone in this struggle.
Where You Need to Be
- Unified data architecture (but your systems won't talk)
- Clean domain boundaries (but everything's entangled)
- Modern event patterns (but you're drowning in point-to-point)
- AI-ready infrastructure (but you can't even get clean data)
The catch: You can't fix one without fixing all.
How We Bridge That Gap
What we establish:
- Clean Context Boundaries
- Well Encapsulated Domains
- AI Within Bounded Contexts
Proven at Pfizer, Bristol Myers Squibb, Blue Cross NC.
The ASE difference: Competence gets it done.
Experience gets it done fast enough to matter!
No need to boil the ocean — just the right spots.
Organizations that fix architecture first achieve ~3x higher AI ROI
We've proven this across 11 enterprise transformations.
What ASE delivers:
- Problem validation in days, not months
- Immediate tactical wins while building strategic foundation
- Phased recovery that doesn't break operations
- Sustained momentum through each transition
Field-tested playbooks for surgical architectural fixes — refined across 11 enterprises since 2017.
Our Three-Phase Approach
Architecture Discovery
2-3 Weeks
Map your system landscape. Identify integration points.
Document data flows. Create your AI readiness roadmap.
Foundation Modernization
8-12 Weeks
Implement domain boundaries. Establish data governance.
Build clean APIs. Create intelligent integration layers.
Minimalist and pragmatic — no overengineering.
AI Implementation
When Ready
Deploy AI on solid foundations. No hallucinations.
No integration chaos. Measurable business value.
Common sense isn't common;
— Vadim Kuhay, ASE
Common architecture must be.
This is why one working domain unlocks all domains.
Common patterns, uncommon results.
I've caught a lot of flak for this slogan.
But only from those still in the 95%.
Led by Vadim Kuhay, Founder & Enterprise Architect
- Built battlefield simulation system for US Department of Defense (2000-2005)
- Rebuilt Merck's Medical-Legal Review platform—7-year "best contractor" recommendation
- Currently modernizing 25-year defense systems for AI/AO
- 11 enterprise transformations, 23 startups since founding ASE (2017)
- 25+ years solving architectural complexity
- US Army Engineer → Fortune 500 Architect → ASE Founder
Our approach doesn't just fix systems—
we build capability that lasts.
Join the Successful 9%
The winners aren't smarter. They're architecturally prepared.
We know exactly how to get you there.
Start Your AI Success Story
While competitors struggle with failed pilots,
you'll be deploying production AI that works.
Quietly!
Your secret — Architecture first!
Not an afterthought.
100% Money Back:
If we don't identify 3+ critical issues blocking your AI success.