10 Proven Ways AI Adoption in Business Drives Success and Innovation

AI adoption in business is transforming industries by enhancing efficiency, innovation, and decision-making. This blog explores 10 proven ways AI can drive success while ensuring a smooth transition through effective change management. 

In today’s fast-paced digital world, AI adoption in business is no longer optional—it’s essential for staying competitive. AI is not just a buzzword; it’s the backbone of innovation, efficiency, and data-driven decision-making in organizations. However, successful AI implementation isn’t just about deploying new technology; it requires change management in AI integration to ensure a seamless transition. Without a structured approach to managing change, even the most advanced AI tools can fail to deliver their full potential. 

Let’s break it down. A McKinsey report reveals that 70% of digital transformation initiatives fail, with inadequate change management cited as a key factor. Similarly, Gartner’s research shows an even higher failure rate, with 85% of digital transformations not meeting their goals.  

For instance, imagine a financial institution rolling out AI-powered fraud detection systems. The technology is top-notch, but employees are not properly trained, and the organization’s workflows are not adjusted. The result? A lack of confidence in the new systems, leading to underutilization and increased resistance to future innovations. 

If you’re an executive or change leader, you know the struggle: trying to balance cutting-edge technological solutions with the need for smooth organizational transitions. The combination of AI and change management is the secret sauce that can drive lasting success. In this blog, we’ll explore 10 proven ways AI, coupled with robust change management practices, can revolutionize your business processes, increase efficiency, and spark innovation. 

In this blog, we’ll explore why change management is critical to successfully adopting AI, especially in business environments. We’ll break down the core principles, strategies, and best practices for guiding your organization through the complex journey of AI transformation, ensuring your team accepts and embraces AI.

Why AI Adoption Isn't Just About the Technology

When most businesses think of AI adoption, the conversation usually focuses on the technological aspects: selecting the right AI solution, configuring systems, integrating AI with existing software, and analyzing data. While these are all important, there’s a crucial missing element in the conversation: people. If AI adoption efforts are to succeed, they must be paired with a strategic approach to change management that focuses on addressing the concerns and behaviors of the people who will interact with the technology.

Here’s why:

AI is More than Just a Tool—It’s a Business Transformation

Implementing AI isn’t just about installing new software. AI has the potential to change the way your organization operates fundamentally. It can automate repetitive tasks, provide data-driven insights for decision-making, enhance customer service through intelligent chatbots, and even drive innovation through predictive analytics. However, these changes will only be fully realized when employees are equipped to embrace new ways of working and problem-solving.

If AI is seen as something “done to” employees rather than “with” them, it can create friction, leading to resistance and disengagement. For AI to succeed, it must be positioned as an enabler, not a disruptor.

Employee Resistance is Natural—But Manageable

One of the biggest challenges in AI adoption is overcoming employee resistance. Employees may fear that AI will replace their jobs, or they may simply be uncomfortable with the new technology. This resistance often arises from a lack of understanding, fear of the unknown, or concerns about how their roles will change.

However, resistance is not a roadblock—it’s a symptom of poor change management. When AI is introduced without a clear understanding of its benefits, or without proper training and support, employees naturally become defensive.

Lack of Alignment with Organizational Goals

Another common pitfall is failing to align AI implementation with broader business goals. If AI adoption is pursued without a clear strategic purpose, it risks becoming a disconnected technology project that fails to drive measurable business outcomes. This misalignment can cause frustration among employees who don’t understand how AI ties into their daily work or the company’s vision.

Why Poor Change Management Will Sink Your AI Project

Without a structured change management plan, your AI adoption efforts may face several significant challenges that can derail your project. Let’s explore these challenges in detail:

1. Employee Resistance and Low Adoption Rates

Employee resistance can be overt or subtle. In some cases, employees may actively refuse to engage with AI tools, while in others, they may passively avoid them. Either way, low adoption rates lead to wasted investment, as AI technologies go underutilized.

This resistance often manifests in the following ways:

• Fear of job displacement: Employees may believe that AI will render their roles obsolete, causing them to disengage from the technology.
• Lack of trust in the AI system: Employees may be skeptical of AI’s capabilities, worried about errors or biases in the results.
• Discomfort with new workflows: Even if AI doesn’t replace jobs, it can disrupt established routines, causing employees to resist using the technology.

This resistance leads to inefficiencies, and without a focused change management plan, it will result in low engagement, diminished productivity, and failure to achieve the desired outcomes.

2. Misalignment of Technology with Business Objectives

Without the right change management strategy, AI adoption risks becoming a technology-driven initiative rather than a business-driven transformation. In many organizations, AI is adopted because it’s seen as “the next big thing,” without a clear understanding of how it will contribute to the company’s broader goals.

For example, AI might be introduced to automate customer service, but without addressing the specific pain points that employees and customers experience, the technology may fail to deliver meaningful improvements.

When AI adoption is misaligned with organizational goals, it becomes an expensive experiment rather than a strategic initiative.

3. Inadequate Training and Skill Gaps

For AI to work as intended, employees must have the right skills. However, many organizations neglect the training aspect of AI adoption, assuming that employees will “figure it out” on their own. This assumption can backfire.

With comprehensive training, employees may be able to use AI tools effectively, leading to underperformance. Furthermore, as AI evolves, employees must be given the tools and knowledge to adapt to new features and capabilities. Ongoing training and upskilling programs are crucial to ensuring that AI adoption doesn’t become a stagnant process.

4. Communication Breakdown

A lack of clear and consistent communication is a key factor in the failure of AI adoption initiatives. Employees need to understand why AI is being implemented, what changes will occur, and how it will benefit them.

Without transparency, employees may feel disconnected from the process and anxious about the unknowns. Frequent communication from leadership can alleviate these concerns, ensuring employees feel supported throughout the change process.

How to Successfully Manage Change During AI Adoption

To overcome these challenges, organizations must implement a holistic change management strategy that involves every level of the organization. The following are essential steps for successful AI adoption:

1. Understand the Synergy Between AI and Change Management 

The AI adoption in business requires more than just the technology itself; it demands a well-coordinated change management strategy. The synergy between AI and change management ensures that AI tools are not only deployed effectively but are also embraced by employees. This combination of technology and human adaptation drives lasting, transformative business success. 

AI's Role in Business Success 

Artificial Intelligence (AI) is no longer just a buzzword or a futuristic idea; it’s a transformative force reshaping industries across the globe. AI’s ability to analyze vast amounts of data quickly, recognize patterns, and provide real-time insights is helping businesses unlock new levels of operational efficiency, innovation, and growth. For example, predictive analytics driven by AI can help businesses forecast demand more accurately, optimizing inventory and supply chain operations. 

AI also excels at automating routine, repetitive tasks, enabling employees to focus on higher-value activities. For instance, in healthcare, AI-driven systems are streamlining administrative tasks like appointment scheduling or patient record management, freeing up resources for more important tasks like patient care. The increasing AI adoption in business is allowing organizations across industries to operate more efficiently while leveraging intelligent automation. 

Change Management as a Key to Success 

However, implementing AI isn’t as simple as just deploying new technology. One of the most significant challenges in AI adoption in business is the resistance to change within organizations. A report by McKinsey found that 70% of transformation initiatives fail due to a lack of proper change management. This means that organizations must not only integrate AI tools but also manage the cultural shift that comes with them. 

Effective change management ensures that employees understand the technology’s purpose, how it will benefit their work, and how to use it efficiently. AI-enhanced video training can play a pivotal role here, as it engages employees and makes complex AI tools easier to understand. Video-based learning modules, tailored to specific departments, help ensure employees are comfortable and confident in using AI, promoting a smoother transition. 

2. Emphasize the Importance of Organizational Readiness 

AI adoption in business requires careful planning and organizational readiness to ensure a smooth transition. Companies must assess their workforce’s openness to change and their preparedness to handle the new challenges AI brings. Without a structured approach, resistance to change can slow down progress, making it essential to implement a strategy that fosters employee engagement and aligns AI initiatives with business objectives. With the right approach, businesses can create an environment where change management in AI integration happens seamlessly, equipping employees with the knowledge and tools needed to fully leverage AI’s potential. 

The Readiness Factor 

Before diving into AI implementation, businesses must evaluate whether their organization is truly ready for such a transformative shift. According to PwC, 54% of executives cite resistance to change as the number one obstacle in AI adoption in business. Employees are often anxious about how AI will impact their roles, leading to hesitation and a slower integration process. 

But readiness isn’t just about overcoming resistance—it’s about ensuring employees have the proper training, leadership support, and technical infrastructure to embrace AI effectively. Organizations that prioritize employee engagement and structured change management in AI integration experience smoother transitions, greater adoption rates, and long-term success. 

Tailored Video Solutions for Readiness 

AI-powered video platforms can help organizations address these readiness challenges by providing scalable and engaging training solutions. With personalized training modules that adapt to different learning speeds, businesses can equip employees with the tools and knowledge needed to fully embrace AI.  

For example, a secure video hosting platform be used to offer training tailored to specific teams, ensuring employees learn in a format best suited for them—whether through interactive video lessons, live webinars, or on-demand training sessions. This ensures that businesses not only implement AI effectively but also foster a workforce that is confident and capable of driving AI-powered transformation. 

3. Leverage Data and Analytics to Drive AI Adoption 

Data serves as the backbone of any AI implementation. To ensure successful adoption, businesses must first focus on collecting and curating high-quality data. The power of AI lies in its ability to process vast amounts of information quickly, and organizations that prioritize data-driven decision-making can improve their operations, enhance customer experiences, and make more informed business choices. 

Data-Driven AI Implementation 

The success of AI depends on the quality and availability of data. AI tools are only as good as the data they are trained on. Businesses must ensure they’re gathering high-quality, relevant data before implementing AI solutions. This means assessing the accuracy, completeness, and timeliness of the data they use, as even small discrepancies can lead to unreliable AI predictions. 

Moreover, AI offers businesses the ability to process large volumes of data in real time, enabling faster decision-making. For instance, AI-powered analytics can help a retail business personalize marketing campaigns based on customer behaviors, improving engagement and driving sales. 

Data from AI-Based Video Analytics 

Another powerful way to harness AI is through video analytics. AI-powered video platforms can analyze user engagement with training materials, providing businesses with valuable insights into how employees are interacting with content. Metrics like watch times, click-through rates, and user feedback allow organizations to refine their AI training strategies, ensuring employees are receiving the most effective education. 

4. Customize AI Solutions to Fit Organizational Needs 

Not all AI solutions are created equal. For AI to be effective, businesses need to tailor solutions to their specific industry, goals, and challenges. Customizing AI tools ensures that they address the unique needs of each organization, whether it’s in customer service, operations, or supply chain management. This targeted approach maximizes the return on investment and fosters a smoother implementation process. 

Tailored AI for Specific Goals 

AI solutions need to be customized to suit the specific needs of each organization. Whether you're in healthcare, finance, retail, or any other industry, AI tools should align with the unique challenges you face. For example, AI models in the finance industry might focus on fraud detection, while those in retail might prioritize customer service optimization. 

For businesses to truly benefit from AI, they need to deploy tools that address their goals directly. However, not all AI tools are built the same, and some are more flexible than others in terms of integration and scalability. It’s crucial to choose AI tools that fit seamlessly into your existing systems and processes. 

Video as a Customizable Training Medium 

AI-based video platforms provide a highly flexible, scalable solution for training employees on these new tools. These platforms can be tailored to each department’s unique needs, whether that’s specific tutorials on AI-powered chatbots for customer service teams or training on AI-driven data analytics for marketing teams. Personalized video training ensures employees receive the exact information they need, in the format they find most engaging. 

5. Promote Training and Continuous Learning with AI 

AI adoption is an ongoing journey, not a one-time event. Continuous upskilling is essential to ensure employees stay current with the rapidly evolving technology. By promoting regular training and development, organizations can foster a culture of learning that enables employees to adapt to new AI tools and systems, ensuring that the workforce remains skilled and engaged in the long run. 

Upskilling for AI 

AI adoption is not a one-off event—it’s an ongoing process. As AI continues to evolve, organizations must ensure their workforce is continuously upskilled to stay ahead of the curve. Regular training on new AI tools, software updates, and evolving technologies ensures that employees don’t fall behind. 

One effective method for continuous learning is adaptive AI video training. These tools use algorithms to adjust the difficulty and pace of learning modules based on individual progress, ensuring that every employee, regardless of their starting point, is continuously challenged and engaged. 

AI-Powered Video Learning 

Using AI-driven video learning platforms makes it easy to provide ongoing, self-paced training. Video tutorials, interactive lessons, and AI-powered simulations can be offered on demand, making it easy for employees to access training as needed. With the right tools, businesses can create an on-demand learning ecosystem that adapts to their employees’ needs and supports long-term AI adoption. 

6. Enhance Employee Engagement with AI-Driven Solutions 

AI-powered solutions offer a transformative approach to employee engagement. By automating routine tasks and providing personalized experiences, AI frees up time for employees to focus on more impactful work. Moreover, AI can also be leveraged to monitor employee well-being and engagement, ensuring that employees feel supported, motivated, and valued throughout the adoption process. 

Creating a Seamless Experience 

AI adoption doesn’t just impact business processes—it profoundly affects how employees engage with their work. When implemented effectively, AI solutions can enhance employee satisfaction by automating mundane tasks, enabling workers to focus on more meaningful work. AI-driven tools can offer personalized experiences, such as intelligent workflows that suggest actions based on individual employee needs or preferences. 

For example, AI-powered systems can predict workload demands and suggest the best times for employees to take breaks, improving overall well-being. Furthermore, AI can assist in monitoring employee engagement levels through real-time feedback, ensuring that any signs of burnout or dissatisfaction are detected early. 

Using Video to Drive Employee Engagement 

Engaging employees with training and development is one of the key ways to promote AI adoption. AI-powered video training can be a game-changer in this space. By analyzing how employees interact with the content, AI platforms can provide insights into which training modules are the most engaging and which ones may need improvement. This allows organizations to optimize content for maximum impact, keeping employees motivated and interested throughout the learning journey. 

7. Streamline Communication with AI-Enabled Solutions 

Effective communication is key to any organization’s success, and AI can optimize this by automating administrative tasks and streamlining collaboration between teams. AI tools can manage schedules, answer frequently asked questions, and even facilitate virtual meetings, reducing friction and improving the speed and clarity of communication across the business. 

AI for Seamless Collaboration 

In any business, communication plays a pivotal role in driving success. AI tools that enable seamless collaboration are essential for ensuring the smooth flow of information between departments. AI can automate communication processes like scheduling meetings, managing team calendars, and summarizing meeting notes. These tools eliminate time wasted on administrative tasks, allowing employees to focus on high-priority work. 

For instance, AI-driven chatbots can field common questions from customers, employees, and prospects, allowing teams to focus on more complex issues. The integration of these tools into daily operations can significantly improve productivity and reduce friction within the workplace. 

Video as a Collaborative Tool 

Incorporating AI-powered video conferencing and collaboration tools is another great way to enhance communication. These tools can offer features like real-time translations, transcription, and automatic follow-up reminders, making meetings more efficient and accessible to everyone. Video-based collaboration tools allow teams to communicate clearly, reducing misunderstandings and improving overall productivity. 

8. Measure the ROI of AI and Change Management 

For businesses to fully embrace AI, it is crucial to measure its return on investment (ROI). AI’s effectiveness can be tracked through real-time analytics that provide actionable insights into its impact on business processes. Additionally, video-based learning platforms offer a valuable opportunity to measure employee training success, ensuring that investments in AI are delivering tangible benefits. 

Tracking the Impact of AI 

One of the most common concerns about AI adoption is the return on investment (ROI). Businesses want to ensure that the money spent on AI technology will lead to measurable benefits. This is where change management practices come into play, ensuring that AI tools are being used to their full potential and driving tangible results. 

AI-powered analytics tools can provide real-time insights into how well AI is performing, identifying inefficiencies and helping businesses optimize operations. Whether it’s improving customer satisfaction, reducing operational costs, or speeding up decision-making, AI offers businesses the ability to track its impact across various metrics. 

Video Analytics to Measure Success 

For businesses adopting AI-driven video training and content management platforms, video analytics can provide a crucial insight into performance. By tracking metrics like engagement rates, completion rates, and knowledge retention, organizations can measure the success of their training initiatives. Video platforms that offer AI-powered analytics can even provide feedback on the effectiveness of specific training materials, allowing businesses to refine their content to maximize its impact. 

9. Overcome Resistance to Change with AI-Powered Solutions 

Resistance to AI adoption is one of the primary barriers businesses face. By addressing employees’ concerns and showcasing how AI can complement their roles, businesses can reduce fear and anxiety. AI-enhanced communication tools, such as video-based training, can play a vital role in easing the transition, ensuring employees understand how AI will enhance their productivity rather than replace their jobs. 

Tackling Organizational Resistance 

Despite the benefits of AI, many organizations face significant resistance to change. Employees may be skeptical about how AI will affect their roles or fear job displacement. Effective change management is critical for overcoming these barriers and fostering a positive attitude toward AI. 

AI solutions can be part of the strategy to manage this resistance. By providing clear, accessible training on how AI will enhance employees’ roles—rather than replace them—organizations can alleviate concerns. Clear communication, along with consistent and transparent updates, ensures employees feel supported throughout the transition. 

AI-Enhanced Video as a Communication Tool 

Video is an effective tool for communicating change. AI-powered video platforms can be used to create personalized messages for employees, explaining the benefits of AI adoption and how it will improve their daily tasks. Interactive videos, personalized to different departments, can reduce anxiety and empower employees to embrace AI as a tool for their success, not a threat to their job security. 

10. Choose the Right AI Partner for Successful Adoption 

AI adoption is not a one-size-fits-all solution, and selecting the right AI partner can make all the difference. The ideal partner will not only provide the necessary technology but also offer expertise in implementation and change management, ensuring that the adoption process aligns with business goals. With the right support, organizations can maximize the benefits of AI while minimizing disruption. 

Importance of Strategic AI Partnerships 

Adopting AI technology can be a daunting process, especially for organizations without in-house expertise. The key to success lies in choosing the right AI partner who can not only provide the technology but also guide you through the implementation and change management processes. A strategic AI partner will work with you to understand your unique challenges, customize solutions to fit your needs, and provide ongoing support to ensure long-term success. 

Leveraging AI Tools for Change Management Training

Effective change management is essential for the successful adoption of AI in any organization. But how do you ensure that employees receive the right support to navigate this transformation? The answer lies in AI tools for change management training.

Modern AI-powered training solutions help employees understand and adapt to new AI-driven processes by providing personalized learning experiences, real-time feedback, and interactive simulations. Here’s how AI tools can enhance change management training:

• Adaptive Learning Platforms: AI-driven learning management systems (LMS) assess employees’ existing knowledge and skills, delivering personalized training content tailored to their specific needs.
• AI-Powered Chatbots for Support: Virtual AI assistants provide instant answers to employees' questions about new workflows, reducing the burden on HR and IT teams.
• Simulated AI Training Environments: Employees can practice using AI tools in a risk-free setting, allowing them to become comfortable with new technology before full implementation.
• Sentiment Analysis for Employee Feedback: AI can analyze employee sentiments and engagement levels, helping leadership identify concerns early and address them proactively.

By incorporating AI tools for change management training, organizations can minimize resistance, accelerate learning, and ensure a smooth AI adoption process.

Training Employees with AI-Driven Change Management Tools

Many organizations struggle with training employees on new AI systems, often relying on outdated training methods that don’t account for individual learning curves. AI tools for change management training help bridge this gap by offering:

Microlearning Modules that deliver bite-sized, on-demand lessons.

AI-Powered Analytics that track learning progress and identify areas where employees need more support.

Gamified Learning Experiences that keep employees engaged and motivated throughout the training process.

Investing in AI tools for change management training not only makes AI adoption easier but also fosters a culture of continuous learning, ensuring that employees stay updated as AI evolves.

How AI Tools Drive Better Change Management Outcomes

AI adoption isn’t just about implementing technology—it’s about ensuring that employees feel confident using it. AI tools can play a crucial role in change management by:

• Providing Real-Time Assistance: AI-powered virtual assistants guide employees through AI-based workflows, reducing frustration and improving adoption rates.
• Enhancing Communication: AI-driven communication platforms analyze sentiment and engagement, helping leadership refine messaging to better address concerns.
• Delivering Predictive Insights: AI can predict which employees or departments may struggle with AI adoption, allowing for proactive intervention.

By leveraging AI tools for change management training, companies can empower their workforce, reduce resistance, and unlock the full potential of AI-driven transformation.

Importance of Strategic AI Partnerships 

Adopting AI technology can be a daunting process, especially for organizations without in-house expertise. The key to success lies in choosing the right AI partner who can not only provide the technology but also guide you through the implementation and change management processes. A strategic AI partner will work with you to understand your unique challenges, customize solutions to fit your needs, and provide ongoing support to ensure long-term success. 

VIDIZMO: Your Partner in AI and Change Management 

This is where VIDIZMO stands out. As an enterprise-grade AI-powered video platform, VIDIZMO offers a comprehensive solution for AI adoption and change management. With its secure video hosting, AI-driven video analytics, and customizable training solutions, VIDIZMO can help businesses leverage AI in a way that drives both operational efficiency and employee engagement. 

By partnering with VIDIZMO, businesses can ensure that their AI adoption is smooth, effective, and aligned with their overall organizational goals. Whether you're looking to streamline training, improve collaboration, or measure the ROI of your AI initiatives, VIDIZMO provides a flexible and scalable platform to help you succeed. 

The Power of AI and Change Management in Driving Business Success 

AI and change management are undeniably critical to the future of businesses seeking innovation, efficiency, and growth. By embracing AI-driven solutions, organizations can enhance operational efficiency, foster employee engagement, and overcome the challenges that come with change. From automating repetitive tasks to improving communication and collaboration, AI enables businesses to thrive in an increasingly competitive environment. 

With the right change management strategies in place, AI adoption can transform the way businesses operate, empowering teams to make smarter decisions and drive continuous improvement. As you consider how AI can be integrated into your organization, partnering with the right technology provider is crucial. 

Ready to explore how AI can elevate your business? Take the next step with a free trial of VIDIZMO’s AI-powered video platform, designed to streamline your AI adoption journey and accelerate your path to success. Explore our AI services or contact us to discover how VIDIZMO can help drive innovation in your organization today.

People Also Ask 

What is the role of AI in change management? 

AI plays a pivotal role in change management by automating routine tasks, analyzing data to predict potential challenges, and providing personalized solutions for employees. It enhances decision-making, accelerates adaptation to change, and supports continuous improvement, making organizational transitions smoother and more efficient. 

How does AI help businesses drive innovation? 

AI helps businesses drive innovation by automating processes, enabling data-driven insights, and offering advanced capabilities like predictive analytics. By incorporating AI into operations, companies can uncover new opportunities, streamline workflows, and create innovative products or services that meet evolving market demands. 

What are the benefits of AI for business transformation? 

AI offers numerous benefits for business transformation, such as improving operational efficiency, enhancing customer experience, automating manual tasks, and making data-driven decisions. It also facilitates scalability and innovation, helping organizations stay competitive in rapidly changing industries. 

How can AI impact employee engagement during organizational change? 

AI positively impacts employee engagement during organizational change by providing personalized experiences and resources. With AI, companies can offer employees adaptive learning tools, streamline communication, and ensure that the transition is less disruptive, ultimately improving morale and productivity. 

Why is change management essential for successful AI adoption? 

Successful AI adoption requires effective change management to ensure that employees embrace new technologies, processes, and ways of working. Change management helps address resistance, provides proper training, and aligns AI initiatives with business objectives, ensuring the technology is integrated smoothly into the organization. 

What challenges do businesses face in AI adoption and change management? 

Common challenges in AI adoption and change management include resistance to change, lack of skilled personnel, integration issues with existing systems, and concerns about data privacy and security. Overcoming these challenges requires strategic planning, proper training, and clear communication with stakeholders. 

How can AI support data-driven decision-making in organizations? 

AI enhances data-driven decision-making by processing vast amounts of data quickly, identifying patterns, and providing actionable insights. With AI, businesses can make more informed decisions, optimize operations, and predict trends, giving them a competitive edge in the market. 

What are some examples of AI in business transformation? 

Examples of AI in business transformation include predictive maintenance in manufacturing, customer service chatbots, AI-powered marketing automation, and AI-driven supply chain optimization. These applications help organizations improve efficiency, reduce costs, and enhance customer experiences. 

What tools can help businesses with AI and change management? 

Several tools, including AI-powered platforms like VIDIZMO, can help businesses manage both AI implementation and organizational change. These tools support seamless integration, provide insights for better decision-making, and help businesses scale their AI initiatives effectively. 

How can businesses measure the success of AI-driven change management? 

Businesses can measure the success of AI-driven change management by tracking key performance indicators (KPIs) such as productivity improvements, employee satisfaction, operational efficiency, and ROI on AI investments. Regular reviews and feedback loops are essential to assess the impact of AI on the business.