Introducing the AARC-360 Compliance Podcast: AI Governance and ISO/IEC 42001
The inaugural episode explores how organizations can govern artificial intelligence responsibly, build stakeholder trust, and prepare for the next generation of assurance expectations.
Artificial intelligence is changing how organizations operate, make decisions, serve customers, develop software, and manage risk. Yet the most important question is no longer simply whether organizations will use AI. It is how they will govern it responsibly.
To help business leaders navigate that challenge, AARC-360 is launching the AARC-360 Compliance Podcast—a new forum for practical conversations about cybersecurity, assurance, governance, risk, compliance, and the emerging technologies reshaping modern organizations.
In the inaugural episode, “AI Governance and ISO/IEC 42001,” host Bernie Wedge is joined by Adam Thompson and Rashmi Mishra for a business-focused discussion on responsible AI, practical implementation considerations, and the growing role of ISO/IEC 42001.
Why AARC-360 Launched the Compliance Podcast
Compliance expectations are evolving faster than many organizations can comfortably absorb. Artificial intelligence, cybersecurity threats, privacy obligations, third-party risk, and regulatory change are increasingly interconnected. Leaders need more than technical explanations; they need practical guidance that connects governance decisions to business outcomes.
The AARC-360 Compliance Podcast is designed to make those conversations accessible. Each episode will bring together experienced professionals to examine emerging risks, evolving standards, and the real-world decisions organizations face as they work to strengthen trust with customers, regulators, boards, and business partners.
Episode 1: Why AI Governance Matters Now
AI is already embedded in everyday business operations. Organizations are using it in customer service, software development, cybersecurity, fraud detection, marketing, human resources, financial analysis, and countless other functions.
Even companies that have not intentionally launched an AI initiative may be relying on AI-enabled capabilities inside Microsoft 365, Google Workspace, CRM systems, collaboration platforms, and third-party applications.
That creates a new set of leadership questions:
- Where is AI being used across the organization?
- How are AI-related risks identified, assessed, and managed?
- Who is accountable for AI-enabled decisions and outcomes?
- How can the organization demonstrate responsible AI practices to customers, regulators, boards, and business partners?
These are not merely technology questions. They are governance questions that affect strategy, legal exposure, privacy, security, reputation, and stakeholder confidence.
Episode 1 examines why responsibility for AI governance must extend beyond the IT department and become part of the broader business management system.
Good Governance Enables Better Innovation
One of the most common misconceptions about AI governance is that it will slow innovation. In practice, thoughtful governance can create the confidence organizations need to innovate more quickly and responsibly.
When expectations, accountability, oversight, and escalation processes are defined before problems occur, teams can adopt AI with greater clarity. Effective governance helps reduce operational, legal, regulatory, privacy, cybersecurity, and reputational risk while giving employees a safer framework for experimentation and adoption.
Just as importantly, governance builds trust.
Customers want to understand how AI is being used. Business partners want confidence that AI-assisted outputs can be relied upon. Boards want assurance that management understands the risks.
In an AI-enabled economy, trust is becoming a competitive advantage.
Understanding ISO/IEC 42001
ISO/IEC 42001 is the world’s first certifiable Artificial Intelligence Management System standard. It gives organizations a structured framework for governing the development, deployment, procurement, and use of artificial intelligence.
Organizations familiar with ISO/IEC 27001 will recognize the management-system approach. Rather than focusing on one technology, vendor, or application, ISO/IEC 42001 helps establish repeatable governance processes that can be applied as AI tools and business use cases evolve.
The standard helps organizations establish processes to:
- Identify and document AI systems and use cases throughout the organization
- Assess AI-related risks, impacts, and opportunities
- Define roles, responsibilities, and executive accountability
- Implement appropriate policies, controls, and oversight mechanisms
- Monitor performance and the ongoing effectiveness of the AI management system
- Continuously improve AI governance as technologies, risks, and expectations change
The goal is not compliance for its own sake. The goal is responsible, transparent, and sustainable AI adoption.
AI Governance Is Not Only for AI Developers
ISO/IEC 42001 is not limited to companies developing large language models or building proprietary AI systems.
Most organizations interact with AI through productivity software, cybersecurity platforms, customer relationship management tools, human resources applications, analytics platforms, and other third-party services.
Even when an organization is not building AI, it remains responsible for understanding how AI may influence business decisions, customer interactions, privacy, security, fairness, reliability, and risk.
That makes AI governance relevant to organizations of virtually every size and industry.
Building on Existing Governance Programs
The good news is that organizations do not need to start from scratch.
Mature cybersecurity, privacy, vendor risk management, enterprise risk management, and compliance programs can provide a strong foundation for AI governance.
Existing programs such as SOC reporting, ISO/IEC 27001, privacy management, risk assessments, policy management, internal audit, and independent assurance already reinforce many of the disciplines ISO/IEC 42001 requires:
- Documented processes
- Executive accountability
- Risk-based controls
- Monitoring
- Continuous improvement
ISO/IEC 42001 is designed to complement, not replace, those efforts. Organizations that already value disciplined governance and independent assurance may be better positioned to begin their AI governance journey than they realize.
What Leaders Will Take Away from Episode 1
The inaugural episode is intended for executives, board members, technology leaders, security and compliance professionals, risk leaders, and any organization evaluating how AI should be governed.
The conversation offers practical insight into:
- Why AI governance has become a business discipline
- How ISO/IEC 42001 supports responsible AI adoption
- Where organizations commonly encounter governance gaps
- How existing security and compliance programs can accelerate implementation
- Why responsible AI practices can strengthen trust and competitive differentiation
Whether your organization is beginning to explore AI or is already integrating it into critical business processes, Episode 1 provides a useful starting point for understanding both the opportunity and the responsibility that come with this rapidly evolving technology.
Join the Conversation
Artificial intelligence will continue to evolve at an extraordinary pace. Customer expectations, regulatory requirements, and industry standards will evolve alongside it.
Organizations that establish thoughtful governance today will be better prepared to innovate responsibly, respond to future requirements, and strengthen stakeholder confidence.
Listen to Episode 1 of the AARC-360 Compliance Podcast and explore how AI governance and ISO/IEC 42001 can help your organization move forward with greater clarity and confidence.
About AARC-360
At AARC-360, we believe effective governance is more than a compliance exercise—it is the foundation for building trust.
Through our podcast, webinars, thought leadership, advisory services, assessments, and certifications, we help organizations navigate emerging technologies and evolving assurance expectations with practical, business-focused guidance.
Whether assisting clients with AI governance, SOC reporting, ISO certifications, cybersecurity, HITRUST, FedRAMP, CMMC, or other compliance frameworks, our objective is the same: helping organizations strengthen governance, reduce risk, and build lasting trust with customers, regulators, and stakeholders.
