There are several GRC platforms available that can help organisations accelerate their implementation and compliance efforts. Popular solutions include Drata, Vanta and other similar platforms that support alignment with frameworks such as NIST, ISO/IEC 27001 and ISO/IEC 42001.
One of the key benefits of these tools is their ability to map requirements across multiple standards. For example, a single piece of evidence or control may satisfy multiple requirements across different frameworks, reducing duplication and improving efficiency. GRC platforms help organisations streamline compliance activities, scale their governance programs and manage requirements more effectively within the context of their business.
As artificial intelligence transitions from experimental tools to core business infrastructure, the “trust gap” has become a major barrier to adoption. Organizations are increasingly exploring how to use AI securely and responsibly to build customer trust while unlocking new market opportunities.
This webinar moves beyond high-level ethical discussions to present a practical and operational blueprint for AI governance. You will learn how to implement governance frameworks that support transparency, accountability and compliance with emerging global standards.
The session explores how organizations can build trustworthy AI systems, manage risk across the AI lifecycle and demonstrate responsible AI practices as a competitive market advantage.
Key learning objectives
- Establishing trust and using this for market advantage to engage with your customers
- The Governance Shift: Understanding the transition from "Intent" (Policy) to "Execution" (Controls)
- Architecting the Framework: A step-by-step look at the core components of a Trustworthy AI ecosystem
- Risk Management & Lifecycle: How to identify, assess and mitigate risks at every stage, from data ingestion to model retirement
- Compliance & Auditability: Strategies for creating "audit-ready" documentation and automated monitoring
- Demonstrating your 'trust advantage' to your market audience
Agenda
The Current Landscape
- The evolution of AI governance and why self-regulation alone is no longer sufficient
- Key challenges: data bias, transparency, privacy risks and fragmented regulation
- The growing importance of trust and accountability in AI adoption
The Pillars of Implementation
- Interpreting AI governance frameworks and standards
- Data integrity: ensuring quality, privacy and data lineage
- Technical guardrails: monitoring model drift, bias and performance
Building the Governance Roadmap
- Selecting an appropriate governance framework (e.g., ISO/IEC 42001)
- Developing an internal AI control catalogue
- Integrating governance across the AI lifecycle
Q&A and Resource Kit
- Open discussion and participant questions
- Practical resources and recommended frameworks for implementation
Target audience
This webinar is intended for a mixed audience including learners, implementers, business managers, business owners and technical professionals interested in understanding and implementing AI governance practices.
Watch the webinar on demand or scroll down for key takeaways and Q&A with our speakers.
Key takeaways
- AI governance is becoming a business necessity
Rapid AI adoption across workplaces, combined with growing public expectations and concerns, means organizations need formal governance structures to manage risks, accountability and responsible AI use.
- Trustworthy AI must be built before it can be demonstrated
Trustworthy AI requires ethical design, security, transparency and ongoing monitoring. Organizations must first establish robust governance and controls before they can build stakeholder confidence through certifications, audits and communication.
- Regulatory expectations and standards are rapidly evolving
Global frameworks such as the EU AI Act, NIST AI Risk Management Framework and ISO/IEC 42001, alongside emerging Australian initiatives, are shaping how organizations govern, assess and assure AI systems.
- AI introduces significant governance and security risks
Key risks include bias and unfair outcomes, unclear accountability, cybersecurity vulnerabilities, privacy concerns, regulatory complexity and environmental impacts. Effective governance helps organizations identify, monitor and mitigate these challenges.
- A structured governance framework supports responsible AI adoption
Successful AI governance combines policies, risk assessments, data governance, transparency, secure development practices, incident management, third-party oversight and staff training, supported by standards such as ISO/IEC 42001 and ISO/IEC 27001.
Q&A with the speakers
A common question organisations ask is: Where do we start? If you need help, please reach out to us. We are happy to help demystify these management standards because many organizations struggle to understand the requirements, expectations and interpretations of the standards. You don't need to worry about navigating these complexities on your own.
If you're interested in exploring these frameworks further, we're here to guide and support you. We can help you understand the standards, their requirements, and how they can be applied within your organization. For example, some organizations ask us to facilitate sessions with their leadership teams or boards to help them understand the value of these frameworks. We can certainly provide that support. We work with our business partners to build understanding, align expectations and identify practical next steps. We would say the key is to follow a structured roadmap.
With the right guidance and a clear plan, organizations can adopt and implement these frameworks effectively and achieve their objectives within a reasonable timeframe.
About SGS
SGS is the world’s leading Testing, Inspection and Certification company. We operate a network of over 2,500 laboratories and business facilities across 115 countries, supported by a team of over 100,000 dedicated professionals. With more than 145 years of service excellence, we combine the precision and accuracy that define Swiss companies to help organizations achieve the highest standards of quality, compliance and sustainability.
Our brand promise – when you need to be sure – underscores our commitment to trust, integrity and reliability, enabling businesses to thrive with confidence. We proudly deliver our expert services through the SGS name and a portfolio of trusted specialized brands, including Applied Technical Services, Brightsight, Bluesign and Nutrasource.
SGS is publicly traded on the SIX Swiss Exchange under the ticker symbol SGSN (ISIN CH1256740924, Reuters SGSN.S, Bloomberg SGSN SW).
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