Increasingly collaborative work between people and artificial intelligence presents organizations with incredible opportunities. It also requires thoughtful planning and governance. Businesses should establish clear guidelines for using AI and GenAI to ensure responsible and effective implementation.

Fundamental questions to consider when developing a GenAI policy include:

• What areas of your business can benefit from this technology?
• Where are the boundaries?
• Which tools are trustworthy, and which should be avoided?
• Most importantly, what are the consequences of misuse?

Adopting Copilot Into Your AI Journey

Microsoft Copilot for the web is a low-risk, no-cost way to introduce teams to large language models (LLMs) with the added assurance of Microsoft’s robust data protection and privacy standards. And exploring Teams Premium is a great way to deepen AI integration within your organization.

Before diving in, conducting a thorough data readiness assessment is essential to identify sensitive information and protect it accordingly. A phased approach to rolling out Copilot allows for gradual learning and adaptation. Keep in mind the goal is to empower your teams with GenAI while mitigating risks. Careful planning and execution of your AI strategy make it easier and safer to harness this advanced technology’s power to drive innovation and efficiency within your business.

Establishing a clear GenAI integration policy and setting the foundation for AI readiness involves:

• Determining specific areas where GenAI is permitted to assist and where it is strictly prohibited.
• Outlining which systems and solutions your business trusts and encourages employees to use, as well as those that are actively blocked.
• Considering the consequences of policy violations.

Once your teams are familiar with Copilot for the web, the next step is collaborating with a provider like Choice Solutions to bridge the gap between GenAI and workplace experiences. Conducting a licensing review and a data readiness assessment helps identify sensitive data sets and the users who have access to them. You can then secure the data sets through well-defined security policies and start deploying Copilot in a phased approach:

1. Selecting a small group of users from various departments to be the first to receive Copilot
2. Providing them with training
3. Gradually expanding the rollout based on the group’s success and feedback

Copilot for M365 Success

Rolling out AI solutions should be a measured process. Rather than implementing everything at once, a phased approach allows for strategy adjustments and learning along the way. Start with a small cohort, provide them with the necessary training, and then expand to larger groups as the process becomes more streamlined. This method not only ensures smoother integration but also allows your team to build expertise gradually, with early adopters becoming internal champions for the technology.

Choice Solutions assists with licensing, data readiness, and access management. We help your organization leverage Copilot to enhance efficiency and make informed decisions that align with your business goals.

For those eager to get started, Copilot for the web is available today at no additional cost, making it a perfect tool for experimentation. Reach out to us today to begin your AI readiness journey, and remember: Support is available every step of the way. Whether you’re a small or large organization, there’s a tailored approach to help you embrace this emerging technology safely and effectively.