AI Governance
As AI technology becomes embedded in the business landscape, organizations are using it to streamline operations, fill staffing gaps, and do more with less — all while keeping pace with AI’s rapid advancements. It’s a fast-paced environment stoked by data. Successfully realizing AI’s potential and acting on its opportunities requires establishing policies and procedures that manage AI’s connection to data, also known as AI governance.
Establishing and maintaining a viable AI governance ecosystem is an integral step in the AI adoption journey — and one every business needs. Implementing AI governance enables you to manage and control AI deployment and usage, align its use with organizational values and external requirements, and foster a trustworthy AI model that supports your business needs.
Develop a comprehensive AI governance approach that mitigates risks, promotes increased usage, and allows you to get the most out of your AI with support and guidance from our professionals.
Elevate your AI experience
Position your organization to leverage AI effectively with an AI governance strategy that not only safeguards your operations, but also enables innovation, responsiveness, and an upward business trajectory.
Manage risk
Identify, assess, and mitigate risks associated with AI deployment, such as bias, privacy violations, inaccurate or misinterpreted data, and security threats with AI governance procedures and training that arm your users with knowledge and awareness around these associated risks.
Implementing AI governance policies and procedures brings transparency and accountability to your AI landscape that safeguards your data and protects your reputation while still driving innovation.
Maintain regulatory and legal compliance
Prevent unintentional AI-facilitated data misuse that can lead to regulatory noncompliance, fines, audits, or contract loss by implementing AI governance protocols that facilitate adherence to laws and regulations related to data protection, discrimination, and AI usage.
Leveraging AI governance gives stakeholders insight into applicable legal and regulatory parameters, reduces legal and reputational risks, and prevents unexpected business disruptions.
Clarify data usage
Creating a robust AI environment requires understanding where your system is sourcing its data, what legal boundaries apply to its use, and which outside sources are using your data. Developing an AI governance plan gives stakeholders insight into these data traffic patterns that can drive better decision-making and impact data labeling.
Bring your data’s usage into focus by creating a comprehensive governance plan that includes all relevant stakeholders, including third-party vendors, SaaS providers, and operating platforms.
Foster trustworthy AI models
Foster a credible and trustworthy AI environment — one with clean training data that allows your AI model to evolve effectively — by leveraging the insights and improvement recommendations derived from a comprehensive AI governance plan.
Creating a trusted AI platform increases its value and accuracy which empowers your team to focus on high-level activities that move your business forward.
How the process works
Although each project is unique, our AI governance projects follow a comprehensive yet incremental process that allows both technical and nontechnical elements to be addressed in tandem.
The result is a manageable change implementation plan that can be achieved with minimal workflow disruption.
- Discovery. Our process begins with a review of your current AI-related policies and procedures, trainings, and assessments to establish a baseline.
- Comparison. Using the results from the discovery process, we compare your current AI governance against a defined framework, like NIST AI RMF, to identify areas of weakness, opportunity, and inconsistencies.
- Recommendations. Based on the results of our comparison, our professionals identify opportunities to enhance your governance landscape.
