The emergence of generative AI has brought both opportunities and challenges for organizations. While it accelerates employees’ productivity and creativity, it also poses risks that need to be mitigated through proper governance measures. Microsoft Digital, through its AI Center of Excellence (AI CoE) team and Microsoft Tenant Trust team, is taking up this challenge to ensure the success of AI adoption. The focus is on data hygiene and complying with rigorous policies to protect the company and its employees. By establishing guardrails, Microsoft is safeguarding data and enabling employees to benefit from AI tools safely. The company’s framework for AI governance considers processes, people, and technology, as well as the overall architecture for AI applications. The goal is to empower employees, foster trust, and inspire confidence in the use of generative AI.
| Signal | Change | 10y horizon | Driving force |
|---|---|---|---|
| Generative AI is unleashing employee creativity and productivity | Increased employee creativity and productivity | AI will become an integral part of workplace processes and decision-making | Desire for accelerated productivity and creativity |
| Adoption of proper governance measures for AI | Enhanced AI governance | Organizations will have robust governance measures in place for AI technologies | Need for protecting organizations and employees from AI risks |
| AI accelerates employees’ ability to create, learn, and connect | Enhanced productivity and learning capabilities | AI will be fully integrated into employees’ daily work, enabling faster and more efficient processes | Desire for accelerated productivity and learning |
| Need to balance the desire to adopt AI quickly with caution | Caution in adopting AI technologies | Organizations will carefully adopt AI technologies to mitigate potential risks | Need for ethical and responsible use of AI |
| Use of guardrails to ensure data safety in AI | Enhanced data safety in AI | AI technologies will have guardrails in place to protect data and ensure compliance | Need to control data flows and prevent oversharing |
| AI Center of Excellence guides AI adoption and governance | Guided AI adoption and governance | AI CoE teams will assist organizations in adopting and governing AI technologies | Focus on eliminating unnecessary risks and compliance issues |
| Importance of data hygiene for AI governance | Data hygiene practices for AI governance | Organizations will prioritize data hygiene practices for AI technologies | Need to properly label and protect enterprise data |
| AI governance as guardrails for responsible AI use | Responsible and accelerated AI adoption | AI governance practices will inspire confidence and enable accelerated adoption of AI | Desire to protect and empower employees with AI |
| Continued research and adjustments in AI governance | Continuous improvement in AI governance | AI governance practices will continually evolve and adapt to new technologies and challenges | Commitment to responsible and effective AI use |