The rapid evolution of AI and its emergent capabilities has made it challenging to know where to start. Whilst developing your own AI strategy could feel daunting or costly, we're here to help you better understand its risks so you can start exploring the opportunities.
Regulations and industry standards are emerging globally and will continue to evolve increasing the risks of non-compliance. To address this, we develop pragmatic and scalable frameworks aligned to common ethical and responsible AI governance standards (eg. ISO/IEC 42001) to support your needs into the future.
As the technology continues to evolve, you will need adaptable frameworks to facilitate ongoing assessment, management and oversight of the unique risks that AI brings. Our risk management experts develop tailored solutions that are appropriate for your organisations specific objectives and context.
At CANDA Consulting, our vision is to unlock the potential of AI for your enterprise by providing the guardrails to foster rapid and ethical adoption through sound risk management and AI management aligned to industry best-practice.
We work closely with our clients to thoroughly assess their current-state and future needs to inform a practical program-of-work. Our collaborative program delivers a pragmatic risk management framework that facilitates assessment, management and oversight of AI risks, allowing our clients to pursue the unlimited potential of AI with confidence.
We specialise in transforming and designing enterprise risk management and governance frameworks. Our founding Managing Director, Carl Fernando has over 20 years experience in risk governance, holds an Executive Certificate from MIT in AI: Implications for Business Strategy, is certified in ISO/IEC 42001 AI Management Systems and a Graduate of the Australian Institute of Company Directors.
We believe AI will empower and uplift individuals and communities if we all play our part in ethical and responsible implementation. Get in touch with us if you're interested in collaborating on better AI risk practices.
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