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Fortune 500 organizations trust Arcisphere Technologies for AI systems that drive competitive advantage while preventing compliance violations, algorithmic bias, and security breaches.
AI Regulation & Compliance protecting your organization from AI risks. Fractional AI Development building production-ready systems. Former IBM professionals who understand enterprise stakes.
The AI landscape is moving faster than compliance teams can handle. While competitors rush into AI without guardrails, Fortune 500 organizations trust Arcisphere Technologies to implement AI systems that drive innovation while preventing devastating regulatory penalties and operational failures.
We specialize in two critical services: AI Regulation & Compliance that protects your organization from AI-related risks, and Fractional AI Development that delivers production-ready AI systems without the overhead of building an internal team.
Every organization wants AI’s competitive advantage. Few understand the regulatory minefield they’re entering.
Healthcare organizations face HIPAA violations from AI systems that mishandle patient data. Financial institutions risk algorithmic bias lawsuits that destroy shareholder value. Manufacturing companies implement AI without understanding how failures could compromise safety systems.
The cost of getting AI wrong isn’t just regulatory fines—it’s loss of market position, damaged reputation, and competitive disadvantage while you rebuild.
Protect your organization from the regulatory, ethical, and operational risks that AI implementations create. Our specialists implement NIST AI Risk Management Framework, ISO 27000 assessments, and comprehensive governance systems that satisfy regulators while enabling innovation.
What we deliver:
Who this protects: CTOs, CISOs, and compliance officers at Fortune 500 companies in healthcare, finance, aerospace, and other regulated industries where AI failures carry severe consequences.
Access senior AI development expertise without the cost and complexity of building an internal team. Our fractional model delivers production-ready AI systems through experienced developers who understand both the technology and the business constraints of regulated industries.
What we deliver:
Who this serves: Technology leaders needing AI capabilities but lacking specialized internal resources or unwilling to make permanent high-cost hires for evolving needs.
Our founder brings 20+ years of enterprise software engineering experience from IBM, where complex systems and strict compliance weren't optional—they were the baseline. We understand how Fortune 500 organizations actually operate.
We hold industry-recognized certifications in AI risk management, Kubernetes infrastructure, and ISO 27000 security assessments. These aren't decorations—they're validation that we implement AI governance correctly.
Most AI consultants focus on building systems. We focus on ensuring those systems don't create the regulatory incidents, bias scandals, or security breaches that make headlines and destroy careers.
Our AI services address the unique challenges facing regulated industries where compliance failures and security breaches carry severe financial and reputational consequences.
We work with organizations in healthcare, financial services, aerospace and defense, and other highly regulated sectors requiring AI implementations that satisfy both innovation goals and strict regulatory requirements.
Download our expert-developed resources helping technology leaders understand and address AI compliance challenges:
Request access to our premium collection including OWASP AI security documents, detailed regulatory compliance frameworks, and business implementation guides.
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.
Every organization’s AI challenges are different. Healthcare companies face different risks than financial institutions. Manufacturing has different requirements than professional services.
Schedule a consultation to discuss your specific AI governance needs or development requirements. We’ll provide an honest assessment of where you’re exposed and how to address it.
Contact Arcisphere Technologies
Traditional cybersecurity focuses on protecting systems from external threats. AI governance addresses fundamentally different risks: algorithmic bias creating legal liability, AI systems making decisions that violate regulations, and AI-generated outputs that expose confidential information or create compliance violations. These require specialized frameworks like NIST AI RMF that traditional security programs don’t address.
Fractional means you access senior-level AI development expertise on a part-time or project basis rather than hiring full-time employees. You get experienced developers who’ve built production AI systems for regulated industries, without the $200K+ salary, benefits, and management overhead of permanent hires. When your needs scale up or down, your development capacity adjusts accordingly.
Yes. Many clients use our fractional developers to augment internal teams, providing specialized AI expertise their permanent staff lacks. We integrate directly with your development processes, tools, and infrastructure. Other clients have us build complete AI systems independently, then transfer them to internal teams for ongoing maintenance.
Initial NIST AI Risk Management Framework implementation typically takes 8-12 weeks for a single AI system, including assessment, policy development, and initial monitoring setup. Comprehensive enterprise-wide AI governance programs require 3-6 months depending on your organization’s size and number of AI deployments. We provide realistic timelines during initial consultation based on your specific situation.
If you’re in a regulated industry, yes. Deploying AI systems without governance frameworks is like deploying medical devices without FDA approval or financial systems without SOX controls. The question isn’t whether you need governance—it’s whether you implement it proactively or reactively after an incident forces you to.
Jim Sullivan founded Arcisphere Technologies after 20+ years in enterprise software engineering, including extensive experience at IBM working with Fortune 500 clients on mission-critical systems. He holds certifications in AI governance (NIST AI Risk Management Framework), Kubernetes infrastructure, ISO 27000 security assessments, and Scaled Agile Framework (SAFe).
Jim’s experience spans the full lifecycle of enterprise technology—from initial architecture through production deployment and ongoing governance—with particular expertise in systems where regulatory compliance and operational reliability are non-negotiable.
