AI Advisory That Demystifies The Process

Oversight of AI governance—that is, the policies, processes, and technology necessary to develop and deploy AI systems responsibly—is key to ensuring the successful and profitable implementation for businesses of all sizes.

“The technology is so new, we felt like we were going in blind. Thankfully, we had a partner to help us out.”

60% of IT professionals feel their organizations are not prepared to counter AI-generated threats.

AI Governance Is A Top Priority For Companies

Does your organization have plans in place for AI oversight?

“We’ll implement AI policies when problems arise.” This, unfortunately, is a common mindset among executives when asked about their approach to AI governance.

Worse still, there is an overreliance on internal IT teams who may lack the expertise or authority to establish and enforce responsible AI policies. Without clear guidelines, AI systems can introduce compliance risks, ethical concerns, and security vulnerabilities.

From biased decision-making and data privacy violations to shadow AI deployments and unchecked automation, too many organizations are exposed to significant risks without realizing it.

AI-related failures aren’t something you can easily contain once they start causing harm. The best way to manage AI risk is to establish governance frameworks before issues arise.

What challenges can your organization expect
when implementing AI at your workplace?

Data Integration

  • Inconsistent, incomplete, or inaccurate data can lead to poor decision-making.
  • Integrating data for AI must adhere to industry regulations (e.g., GDPR, HIPAA).
  • Poor documentation of data sources can make trusting AI-driven insights difficult.

Information Issues

  • AI systems can inherit biases from training data, leading to inaccurate outcomes.
  • AI requires large-scale data access, increasing the risk of unauthorized leaks or cyberattacks.
  • AI models can misinterpret information eading to insights that don’t align with goals.

Liability Issues

  • When AI makes incorrect or harmful decisions companies may be held liable for damages.
  • AI-driven automation can expose vulnerabilities that cybercriminals exploit.
  • Over-reliance on AI can result in negligence claims, especially in critical sectors.

Still Want To Wing It With Your Organization’s AI Implementation?

Or, is it time to bring in accredited professionals who can help you understand where your organization is exposed?

What You Can Get From Mandry

AI Implementation Is Complex, Mandry Technology Will Make It Easier

Getting a Comprehensive AI Implementation Strategy

Don’t Find Yourself Saying:

“We shouldn’t have rushed into implementing AI.”

Contact Mandry BEFORE implementing AI within your organization to make sure you’re doing so safely and securely.