Enterprise AI Architecture & Human Experience Design
We've done both at global scale. For Fortune 1000 enterprises and high-growth companies alike, IJHANA delivers AI transformation that doesn't just work — it gets adopted.
Concentration on a problem until it is resolved. Derived from the Buddhist concept of Jhāna — a meditative state of profound stillness and focus in which the mind becomes fully immersed in the chosen object of attention.
This is the cornerstone of everything we do. In 2006, we came together with a simple conviction: technology should be a revenue generator, not a cost center. That idea — and the relentless focus it demands — has guided every engagement since.
Today, IJHANA brings that same depth of concentration to the most consequential technology shift in a generation: enterprise AI. We don't skim the surface. We go deep until the problem is resolved.
The gap isn't in the models. It's in the architecture that connects them to your business — and the experience that determines whether your teams actually adopt them. Most AI initiatives fail not because the technology is wrong, but because nobody designed the system around how the business actually operates.
A unified framework where enterprise architecture decisions are informed by human experience research from day one — and interface design is grounded in what's actually possible within your technology landscape.
Deep immersion into your existing systems, data landscape, team workflows, and organizational readiness. We map every integration point, data flow, and human touchpoint before writing a single line of strategy.
Design the compound AI system — not a single model, but an orchestrated network of specialized agents with clear data contracts, trust layers, governance frameworks, and graceful failure modes.
Design the experience layer that determines adoption. Every interface, workflow, and interaction is crafted through human-centered research — ensuring your people trust, understand, and actually use what we build.
Build, operate, transfer. We deploy, monitor, train your teams, and create the internal capabilities to sustain and extend the platform independently. You own everything we build.
The Big Four write strategy decks. AI boutiques build demos. Neither can connect an AI agent to your 15-year-old ERP and design an interface your warehouse team will actually trust. We do both.
We are the rare firm where enterprise systems architecture and world-class UX design are unified from the first conversation. AI that integrates deeply and gets adopted immediately.
192,000 hours building enterprise systems. 146 projects delivered. $8B+ in eCommerce generated. We've been the CTO and CIO in the room when systems fail and when the board asks "why should we trust this?"
80% of AI projects die in the plumbing — connecting to NetSuite, your WMS, your EDI feeds, your legacy systems. We treat integration as a first-class architectural concern, not an afterthought.
Audit trails, explainability, human approval gates, versioned prompts, and rollback paths. We build the governance layer that lets your CFO, COO, and board rely on AI for decisions involving millions.
We design orchestrated networks of specialized AI agents — each with distinct responsibilities, failure modes, and evaluation criteria — coordinated around your specific business domain.
We build teams, not dependencies. Every engagement includes capability transfer — we hire your permanent leaders, train your people, and architect systems your organization can own and evolve.
The value is never in the code — it's in the architecture that coordinates systems, data, and people across markets, regulatory environments, and technical stacks simultaneously.
Companies don't just need AI. They need AI that talks to their ERP, their WMS, their vendor feeds, and their legacy accounting system. This is where projects live or die.
If your people don't use it, you didn't build a solution — you built an expense. Human experience design isn't a phase. It's the through-line of every architectural decision we make.
Since 2006, our founding conviction: technology is not a cost center. Every system we architect is measured by the revenue it enables, the efficiency it creates, and the growth it unlocks.
We don't rip and replace. We start with your existing infrastructure — however complex or legacy — and architect a path forward that minimizes cost while maximizing capability.
It's in our name. We don't disengage at the strategy deck. We go deep — immersing ourselves in the problem until the system is built, adopted, and running. That's IJHANA.
A 4–6 week deep engagement. We map your data landscape, identify the highest-ROI AI insertion points, and deliver an implementation roadmap with governance framework. You leave with a blueprint, not a pitch deck.
6–12 month embedded leadership. We integrate as interim CTO/CIO for AI, build the architecture, design the experience layer, stand up the team, hire your permanent leaders, and hand off a running system.
Ongoing strategic partnership. Fractional CTO/CIO for AI — providing architectural oversight, governance review, and strategic guidance as your AI capabilities mature and scale.
Our leadership team has architected and delivered enterprise-scale solutions for some of the world's most recognized organizations.
Since 2006, IJHANA has placed a deep value on the role art plays in technology — from UI to UX to database structure. We see art in everything, including the systems we build.
This philosophy led to the creation of Space 42, a 22,000 sq ft cultural innovation hub blending galleries, design centers, innovation labs, and community. Voted #1 Gallery in Jacksonville four consecutive years, Space 42 was where art met cutting-edge technology — and where our conviction that great systems must be beautifully designed was proven over and over.
We don't just advise on AI transformation — we build it. Our R&D practice develops proprietary platforms and frameworks that emerge directly from the patterns we see across client engagements.
It's not the model. It's the 15-year-old ERP nobody mapped, the data contract nobody wrote, and the interface nobody designed for the people who actually have to use it. The architecture-experience gap is where enterprise AI goes to die.
Every company can access the same foundation models. The defensible advantage isn't which AI you use — it's how deeply it's woven into your specific systems, workflows, and decision-making processes. Integration complexity is a feature, not a bug.
A general-purpose chatbot is a demo. The future of enterprise AI is orchestrated networks of specialized agents — each with distinct responsibilities, failure modes, and trust boundaries — coordinated around your business domain.
Our AI platform built from the ground up to demonstrate what enterprise-grade conversational intelligence actually looks like — not a wrapper on a chatbot, but a compound system with memory, context, and domain expertise.
Persistent Memory System — Eve remembers context across sessions, extracting themes, significance, and emotional context to build genuine continuity.
Multi-Modal Interaction — Natural conversation through text and voice with customizable voice profiles and adaptive response depth.
Knowledge Domain Architecture — Specialized expertise modules that activate contextually, demonstrating how compound AI systems outperform monolithic approaches.
Cross-Platform Intelligence Import — Ingests conversation history from existing AI tools, consolidating organizational knowledge into a unified memory layer.
IJHANA is organized around two complementary practices — Enterprise AI Architecture and Human Experience Design — unified by the conviction that technology only creates value when people actually use it. Our team brings decades of Fortune 1000 leadership, global platform delivery, and design at scale.
Our architecture practice is led by technologists with 27+ years of hands-on enterprise leadership — former CTOs and CIOs who have built and delivered platforms for Sony, Disney, Nike, Harbor Freight, Fashion Nova, and dozens of global brands. The team holds patents in digital content distribution, advanced AI certification from MIT Sloan, and has collectively delivered 146 enterprise-scale projects generating over $8B in eCommerce revenue. From data ecosystems and cloud-native warehouses to AI agent orchestration and governance frameworks, this practice owns the full technical stack.
Our experience design practice is led by world-class UX leaders who have designed human experiences at the largest possible scale — leading UX at Amazon and across the NFL's digital ecosystem. With deep academic roots teaching UX design at UCLA, this practice brings expertise in designing systems that hundreds of millions of people not only use, but trust, understand, and prefer. Every interface, workflow, and interaction point is crafted through rigorous human-centered research to ensure adoption from day one.
If you're ready to integrate AI into your enterprise — in a way that actually works and actually gets adopted — we should talk.
Start a Conversation