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Home – About Us
Twenty years implementing mission-critical systems for Fortune 500 clients taught us one truth: AI without governance creates career-ending incidents. We prevent them through expert AI regulation and fractional development services built on enterprise experience, not academic theory.
Years of Experience
Most AI consultants come from research labs and universities. They understand algorithms. They don’t understand the organizational complexity, regulatory constraints, and political realities of Fortune 500 enterprises.
We come from IBM. We spent two decades implementing systems where compliance wasn’t negotiable, where failures had severe consequences, and where theoretical solutions that couldn’t survive real-world implementation were worthless.
We founded Arcisphere Technologies because organizations deploying AI need enterprise experience, not academic credentials. They need consultants who’ve navigated the challenges they’re facing—not consultants learning on their budget.
Team Members
Principal Partner & Technical Lead
Jim Sullivan founded Arcisphere Technologies after 20+ years in enterprise software engineering, with extensive experience at IBM implementing mission-critical systems for Fortune 500 clients where regulatory compliance and operational reliability were non-negotiable.
Professional Background
Certifications & Expertise
Why This Matters: Jim’s experience spans the complete technology lifecycle—from initial architecture through production deployment and ongoing governance. He understands both the technical challenges of AI implementation and the organizational realities of enterprise environments where theoretical solutions fail.
His approach reflects years of enterprise experience: governance frameworks must prevent incidents while remaining practical enough for organizations to actually implement. AI systems must deliver business value while satisfying regulatory requirements and fitting within constraints that academic experts often overlook.
We prevent AI-related incidents that destroy careers and damage organizations.
Regulatory penalties from ungoverned AI systems. Algorithmic bias creating discrimination lawsuits. Security breaches specific to AI implementations. Development failures wasting millions on systems that don’t work in production.
These incidents are preventable. They occur because organizations deploy AI without proper governance or attempt development without specialized expertise. We provide both—comprehensive governance preventing incidents and expert development delivering production systems.
Our mission is protecting Fortune 500 organizations from AI risks while enabling the competitive advantages AI provides.
Ready to work with experienced professionals who care about your success?
Academic AI experts think in terms of optimal solutions. We think in terms of solutions that survive organizational politics, budget constraints, legacy system integration, and regulatory requirements. Optimal solutions that can't be implemented aren't solutions.
Most AI consultants focus on building systems. We focus on the governance gaps, bias vulnerabilities, and security issues that create incidents. Prevention requires different expertise than development.
We've navigated the same challenges our clients face: implementing technology in regulated industries, satisfying auditors while enabling innovation, and deploying systems that executive leadership actually approves. We're not learning on client budgets.
Many consultants provide recommendations. We deliver working AI systems with complete documentation, knowledge transfer, and ongoing support. Recommendations without implementation have limited value.
We specialize in regulated industries where AI failures carry severe regulatory, financial, and reputational consequences.
HIPAA compliance for AI systems. Medical device AI governance. Clinical decision support development.
AI systems satisfying SEC, FINRA, and fair lending requirements. Fraud detection. Risk assessment algorithms.
Bias-free underwriting AI. Claims automation. Regulatory compliance for AI-based decisions.
Safety-critical AI governance. Federal contract compliance. Secure development for classified systems.
Quality control AI. Predictive maintenance. Supply chain optimization with safety integration.
Official certification in NIST AI RMF implementation—the federal standard for AI governance. This validates we implement AI risk management according to government requirements.
Certified in ISO 27000 information security management, extended to address AI-specific security challenges that standard implementations miss.
Certified Kubernetes Professional—validation of our ability to deploy scalable, reliable AI systems on enterprise-grade container infrastructure.
Certified in SAFe implementation, ensuring AI development integrates with enterprise Agile processes and organizational workflows.
Comprehensive AI governance implementing NIST frameworks, ISO 27000 assessments, policy development, and ongoing compliance monitoring preventing regulatory incidents.
Senior AI development expertise without permanent hiring costs. Custom solutions, enterprise integration, Kubernetes infrastructure, and DevSecOps practices.
Schedule a consultation to discuss your AI governance or development challenges. We provide an honest assessment of your situation and realistic options for addressing it.
We specialize in regulated industries where AI failures carry severe consequences: healthcare (HIPAA compliance), financial services (SEC/FINRA requirements), insurance (bias prevention), aerospace & defense (safety-critical systems), and manufacturing (quality/safety integration). Our enterprise experience translates across regulated sectors facing similar compliance and governance challenges.
Academic consultants understand algorithms and models. We understand enterprise constraints: organizational politics, budget limitations, legacy system integration, regulatory requirements, and audit processes. We’ve implemented technology in environments where theoretical solutions that can’t survive real-world constraints are worthless. Our recommendations reflect what actually works in Fortune 500 enterprises.
Fortune 500 companies represent our primary focus because they face the complex regulatory, organizational, and technical challenges our experience addresses. However, we work with any organization facing enterprise-level AI governance or development challenges—whether Fortune 500 or growth companies operating in regulated industries with similar compliance requirements.
We typically augment existing teams rather than replace them. Most organizations have capable IT and compliance teams lacking specialized AI expertise. We provide that specialization, working collaboratively with internal teams. Some clients have us lead AI initiatives independently, others integrate us into existing team structures. Approach depends on your preference and internal capabilities.
AI governance assessments begin immediately with initial results in 3-4 weeks. Governance implementation for single AI systems requires 8-12 weeks. Enterprise-wide governance programs need 3-6 months. AI development delivers working prototypes in 4-6 weeks with production systems in 8-16 weeks. Actual timelines depend on complexity—we provide realistic schedules during initial consultation rather than generic estimates.
Principal Partner
Analysict
Product Manager
Marketer
We serve our clients in the work we do and it means the world when our clients share their experiences. Here’s what a few of them had to say about working with our team.
