5 Key Tips for Incorporating AI Into Your Business

Incorporating new tech into your workflow can be a challenging task, but once the tech is implemented, it can streamline systems and add value for your internal teams and customers! 

The world’s greatest companies are leveraging the power of artificial intelligence (AI) to improve operational efficiencies and user experiences. Just look at major tech companies like Meta, Microsoft, and Google; in the last few years, they’ve all implemented generative AI into their platforms to stay ahead of their competition and trends. 

If you’re in search of AI to help improve your business operations or better collaborate with colleagues, look no further than this article. Read on to learn why you should be using AI in your business, determine how to choose the right AI for your needs, see the benefits of AI tools, and explore AI success stories from companies around the globe. 

• Why you should be using AI in your business
• How to choose the right AI tool for your organization
• How to incorporate AI into your business
• AI success stories: 3 examples
• How to incorporate Fellow’s AI into your meetings

Why you should be using AI in your business

There are a few key benefits to implementing AI in your business. These benefits include: 

• Improved efficiency: The right AI tool can help you and your team complete time-consuming tasks in record time. AI can automate the most mundane and routine tasks to clear up space in your day for high-value tasks. 
• Better decision making: Your team can use powerful AI technology to identify duplicates, errors, trends, and patterns within your work so you can make better decisions overall. 
• Competitive advantage: AI tools can help your business gain a competitive edge by processing data more quickly so you can create new products and services, personalize user experience, and develop initiatives faster.

How to choose the right AI tool for your organization 

When searching for the right AI tool for your business, begin by assessing your organization’s needs. The capabilities of AI are broad and ever-changing, so you should consider what workplace tasks or processes you want AI to improve. Once you decide what parts of the business could be improved using AI, determine which tasks are routine and data-heavy and could be automated. For example, your HR team might be able to use AI to review, sort, and process applicants for new roles. Alternatively, a sales team could benefit from AI to send automated emails to new leads. 

Next, determine whether an off-the-shelf AI tool or custom software is right for your team. On one hand, off-the-shelf tools have fixed capabilities and may offer some level of customization. These tools are often easy to set up and use and have customer support options available. On the other hand, custom AI solutions can be tailored to your company’s exact needs and offer your company control over its data usage and processing. 

“Start by researching different AI technologies and platforms, and evaluate each one based on factors like scalability, flexibility, and ease of integration. Assess each vendor’s reputation and support offerings, and find out if the solution is compatible with your existing infrastructure. Then select the solution that best suits your business needs.”

— Bernard Marr, Forbes

How to incorporate AI into your business 

• Communicate the benefits
• Develop a data strategy
• Train employees on the AI software
• Set objectives
• Review KPIs regularly

1Communicate the benefits 

AI is a relatively new concept for some businesses, so it may require a bit of buy-in from employees. When integrating AI into your company, communicate the reason for the change and the company’s goals for the tool. Use town halls, team meetings, one-on-ones, and email communications with staff to explain why you selected the particular AI software and how AI will make everyone’s job easier. 

For example, employees at Fellow present “AI Leanings” during weekly town hall meetings to share tips with colleagues and reflect on how AI has helped them do better work. 

2Develop a data strategy

A data strategy is a long-term plan that defines the processes and rules required to manage a company’s information assets. The plan should also outline how information can be identified, stored, and controlled over a specified period. Create a strategy that employees, clients, customers, and stakeholders can refer to when they want to access data, learn about privacy regulations, or have questions about how data is stored and leveraged. 

3Train employees on the AI software

When implementing AI into your business, you must make time to train your team on any new tools and processes. Ensure each member of your team has a solid understanding of AI usage and upskill some employees to become AI experts. Different teams and departments may require different training as well. For instance, members of a marketing team may need a briefing on when it’s appropriate to distribute AI-generated content and what information they’re permitted to feed into an AI tool. 

4Set objectives 

Before selecting a tool, determine what problems you want AI to solve. Explore your company’s specific needs and evaluate your current processes. Then, identify where AI could be used to streamline systems and add value to current procedures. For example, you may decide that your objectives with AI are to help your team make better decisions, streamline data, or detect and analyze business trends. 

“Before diving into the world of AI, identify your organization’s specific needs and objectives. What are your current processes? Where could AI streamline systems or add value for your customers or internal teams?”

— Bernard Marr, Forbes

5Review KPIs regularly 

Set several key performance indicators (KPIs) that you can check on regularly. Your KPIs should measure the success of the AI in meeting your team and client’s needs. Schedule a recurring monthly or quarterly meeting with employees who are involved in the implementation of the AI or who work closely with it to evaluate what is working, discuss setbacks, and determine whether the AI has kept employees on track to meet their goals. Once a goal has been achieved, set new objectives or determine how you can further use AI to increase your team’s efficiency. 

AI success stories: 3 examples 

• AI in healthcare: Some healthcare companies use image recognition to accurately diagnose diseases like cancer, support the work of radiologists, and help the everyday work of other healthcare professionals. Leveraging the power of image recognition and AI can help healthcare providers gather information and determine how to best treat and manage diseases. 
• AI in the service industry: Starbucks uses AI to determine when customers are near their stores and uses the location of app users to send pop-up notifications. Through data analytics and AI, the company has also enhanced its customer experience, can create personalized recommendations, and makes decisions about where to open new store locations. 
• AI in the automotive industry: One of the biggest AI success stories of the past decade is how self-driven vehicles are becoming the way of the future. Companies like Tesla and General Motors (GM) have created autopilot features that can act autonomously. GM is currently working on hands-off driver assistance systems that require little to no input from the driver’s side. 

How to incorporate Fellow’s AI into your meetings

Fellow + AI makes it easy to plan, attend, and capture great meetings! Meeting preparation is fast and easy with Fellow’s AI-generated agendas, topics, and suggested talking points. Fellow’s AI meeting assistant takes cues from meeting titles, meeting descriptions, previous meeting notes, and attendees to suggest relevant meeting structures with topics and talking points so your meetings are set up for success. Fellow’s AI meeting assistant also takes care of recording and transcribing meetings so participants can stay focused and engaged in the discussion. Plus, searchable transcriptions make it easy to find key discussions, decisions, and action items to share with relevant stakeholders. And, AI meeting summaries, paired with recordings and full AI meeting transcriptions are all in one place to keep all stakeholders in the loop, even when they’re not in the meeting. Fellow is a central repository for all meeting records so everyone is aligned and follow-ups are clear.

Fellow goes beyond typical AI software by providing many other features that aim to improve your organization’s meeting and productivity culture. Specifically, we use a set of eight meeting guidelines to help make your team meetings and one-on-ones as productive as possible. With Fellow, your team can build collaborative meeting agendas, assign clear action items at the end of each meeting, centralize all to-dos, and give and receive meaningful feedback. Our software also offers 500+ ready-to-use meeting agenda templates and integrates with many other popular tools so you never have to leave your favorite messaging, video conferencing, and project management apps. 

Parting advice 

Now that you know how AI can help your team be more efficient, it’s time to search for the right tool. Check out our blog post that outlines 10 of the best AI productivity tools on the market in 2023 to get started. 

Implementing AI into your business requires great communication and great communication begins with amazing meetings. Gather in Fellow to host productive team meetings and meaningful one-on-ones, build collaborative agendas, record decisions, and hold your team accountable today!