In healthcare, financial services, and defense, ungoverned AI isn't just a compliance risk — it's a barrier to every AI opportunity your organization is trying to capture. Without operational governance, AI initiatives stall in risk committee. With EU AI Act enforcement arriving August 2026 and $10M+ penalty exposure, the organizations building governance programs now are the ones positioned to deploy AI — and profit from it.
Most organizations are deploying AI faster than they're governing it. The result isn't just compliance exposure — it's every AI initiative that can't scale, every opportunity that stalls in risk committee, and every competitive advantage left on the table while your governance program catches up.
CISOs, compliance officers, and risk managers are now at the AI table — asking questions your AI vendors can't answer. Claimed governance and operationalized governance are two very different things. And organizations without the latter can't safely pursue either the upside or the scale their AI investments require.
We close that gap. Patrick Parker and the AltiriOS team embed the governance process infrastructure your organization needs before AI can be deployed at scale — building programs with teeth that satisfy auditors, boards, and regulators while positioning you to move.
Patrick has spent 25+ years advising regulated enterprises at the intersection of technology risk, governance, and compliance. He served as vCISO for Mount Sinai Medical Center and has held COO and CFO roles — which means he understands what a CISO, a risk committee, and a board of directors actually need to hear, not just what sounds good in a deck. The frameworks he built at AltiriOS come from that operational reality. Not theory.
We don't sell governance decks. We build the process infrastructure that positions your organization to deploy AI safely — and capture the returns on the other side.
Model governance frameworks, AI risk registers, control mapping, and board-ready reporting. The operational foundation that enables AI systems to run at scale — without creating unmanaged liability your board can't underwrite.
Learn more →Gap assessments and alignment against NIST AI RMF, ISO 42001, HIPAA, SOX, and EU AI Act obligations. With enforcement arriving August 2026, this work positions your organization to pursue AI opportunities — not just avoid penalties.
Learn more →Fractional Chief AI Officer embedded in your organization. Board-ready strategy, C-suite accountability, and a direct path from governance investment to the AI-driven business outcomes your organization is positioned to capture.
Learn more →Three phases. Clear deliverables at each stage. Each one designed to remove a specific barrier between where you are and where AI can safely scale.
Free self-serve assessment evaluating your organization's AI governance maturity across six domains — strategy, risk, compliance, technology, data, and operations. Produces a scored radar chart and prioritized gap list.
Free · Self-serve · 10 minThe process your organization needs before AI can be deployed safely at scale. Custom AI GRC roadmap built around your regulatory exposure and AI ambitions — mapping gaps and delivering a 90-day remediation plan with clear ownership.
Engagement · 30 daysFractional AI governance, risk management, and compliance leadership embedded in your organization. The ongoing program that keeps governance current as AI expands — positioning your organization to pursue every initiative your risk committee would otherwise block.
Retainer · MonthlyMost advisory firms deliver PDFs. We deliver a running system — assessments, governance dashboards, and compliance monitors that give your organization ongoing visibility, not just a point-in-time snapshot.
Explore the Platform →Automated scoring across six governance domains. Radar chart output with maturity benchmarks and prioritized recommendations — ready to present to your board.
Live visibility into your AI risk posture, control coverage, and framework alignment status. Know where you stand before an auditor asks.
Continuous monitoring against your applicable regulatory frameworks. Surface drift and new requirements before they become findings.
Full engagement management — milestones, deliverables, compliance checkpoints, and client health signals in one system.
AI governance requirements aren't generic. We specialize in the industries where the stakes — and the scrutiny — are highest.
Clinical AI governance, algorithmic bias management, and compliance programs for healthcare organizations deploying AI in clinical decision support, revenue cycle, and operations.
Model risk management, fair lending compliance, and AI governance frameworks for banks, insurance carriers, and fintechs operating in a heightened regulatory environment.
Responsible AI governance and compliance programs for defense contractors, federal agencies, and critical infrastructure organizations subject to CMMC and DoD AI policy requirements.
Trusted by organizations in healthcare, financial services, and defense navigating AI adoption in regulated environments.
The gap between claiming AI governance and operationalizing it is where programs die. Here are the three predictable failure patterns — and how NIST AI RMF was designed to close them.
A practical 4-step implementation guide for healthcare, financial services, and defense — with common pitfalls, compliance mapping, and a sector-specific roadmap.
GRC isn't separate from cybersecurity — it's the management layer that makes security investments defensible. A practitioner's guide to NIST CSF 2.0 for regulated industries.
Start with a free AI readiness assessment to see what's blocking your organization from deploying AI with confidence. Or book a strategy call with Patrick to discuss a governance program designed to move you forward — before August 2026 enforcement makes it urgent.