It may be surprising for you to hear that Artificial Intelligence (AI) has been around for decades. You’ve probably used AI countless times in the workplace without even realizing it — like when spell check polishes your emails or Google delivers answers in seconds.
Since ChatGPT launched, AI has captured everyone’s attention, sparking conversations about how it can increase efficiency and improve productivity.
Naturally, companies, always looking for ways to streamline their workflows, jumped on board. As a result, the number of companies adopting AI has increased exponentially — and so has the number of AI startups.
In fact, 75% of surveyed workers in 2024 said they use AI in the workplaces, and 63% of organizations are already planning to invest even more in new AI solutions by the end of 2026. Generative AI tools like ChatGPT and Gemini are reshaping the way businesses operate entirely.
Now you want to understand how you can best leverage AI for your company. What are its use cases? What should you consider as an enterprise leader? How can you begin to prepare your business for AI implementation and adoption? We'll discuss all this and more, so you can feel confident understanding how to make AI work for you.
Role of AI in the workplace
Imagine you’re locked out of your account just as you’re about to meet a critical deadline.
Instead of waiting hours for IT to reset your password, you simply use your company’s virtual assistant powered by AI. Within seconds, the assistant helps you reset your password and logs the request for security tracking — all without needing a human to step in.
This is just one example of how AI can make your workplace more efficient.
Your organization likely faces unique challenges — reducing operational costs, managing distributed teams, and maintaining data security, to name a few.
To stay competitive, you require AI solutions that streamline operations and improve efficiency — namely intelligent automation technology.
AI technology has an important role to play in modern workplace settings. But it's designed to be more than just a set of behind-the-scenes algorithms.
By seamlessly integrating across multiple platforms and databases, AI solutions can provide you with fast and accurate answers to questions related to all business areas. They can also automate highly complicated business tasks, working independently alongside IT, human resources, finance, and customer support teams to increase operational efficiency.
With AI, you can make faster decisions, reduce manual effort, and focus on the strategic initiatives that matter most.
5 examples of AI in the workplace
AI technology investments benefit more than just a select group of departments. By adopting the right solution, companies — big and small — can enable intelligent automation capabilities company-wide, improving efficiency, reducing costs, and fostering innovation across all areas of the business.
This holistic approach ensures that every department, from HR to finance, can leverage AI to streamline processes, enhance decision-making, and ultimately drive better business outcomes.
1. Content generation
One of the most common business use cases for AI technology is content generation. Because of their speed and efficiency, generative AI tools like ChatGPT have completely changed how modern organizations approach content planning initiatives.
AI tools can offload many time-consuming marketing tasks, assisting your teams with deep topic research and content development. Thanks to recent improvements in the technology driving large language models (LLMs) and machine learning, AI systems can automate the creation of:
- Blog posts
- Website landing pages
- Social media updates
- Video scripts
In addition to written text, the newest generation of AI tools can also produce images and video. This all saves time and resources that your marketing teams can use to focus on other critical business processes.
2. Customer service
Conversational AI is a rapidly developing element of modern AI solutions that simulates the nuances of human interactions using natural language processing (NLP) and natural language understanding (NLU).
With this capability, your employees and customers can have dynamic dialogues with virtual assistants, who can provide important resources and answers to their questions 24 hours a day.
Modern AI solutions are more advanced than traditional automated support software. Unlike other tools that simply index information and provide results, conversational AI solutions reason on the information provided and autonomously execute various actions.
For example, AI tools can leverage data from customer sales history, past dialogues, or shipping statuses to understand all contextual elements of customer interactions.
By understanding the bigger picture, conversational AI solutions can provide more personalized support, such as escalating support tickets to higher levels or providing applicable discounts.
3. Hiring and onboarding
HR teams are often tasked with a wide range of repetitive tasks.
From hiring and onboarding new employees to facilitating ongoing training, teams can quickly become bogged down by routine demands. However, AI solutions can automate many of these responsibilities.
Sourcing new talent can drain HR teams' time and resources. AI solutions can help your team by automatically reviewing resumes and qualifying (or rejecting) candidates. Depending on the role, AI tools can also assist with preliminary screening interviews. They can generate applicable interview questions for hiring managers, creating a consistent and objective analysis of an individual's applicable skill sets.
HR professionals can also use AI tools to automate various onboarding protocols. With AI automatically providing new hires with system and resource access and walking them through training activities, your HR team can use their time to support other important cultural elements of the business.
4. Knowledge management
For employees to be successful in their roles, they need access to helpful data, but relevant business resources are often distributed across multiple systems or databases. Unfortunately, this can lead to wasted hours chasing down information or asking supervisors for help.
Businesses can leverage AI-powered search tools to develop comprehensive company knowledge bases that serve as a single source of truth.
In turn, employees can use intelligent chatbots to help them quickly source internal documents, company policies, or customer information through one centralized location.
AI solutions play a significant role in eliminating communication silos. By connecting all data sources together, enterprise search tools give your teams real-time access to the most relevant customer information when they need it most, resulting in substantial productivity gains.
5. IT support
As your company scales, support tickets and help requests from employees can quickly add up. AI technology can help significantly reduce issue-resolution timelines and increase operational efficiency.
Rather than having your IT team manually review each support ticket, AI tools can automatically analyze and prioritize requests as they come in. While this alone frees up valuable resources for IT teams, AI solutions can even go further.
Rather than needing to wait in a long queue of ticket requests, employees or customers can get immediate IT support directly from intelligent automation.
Agentic AI solutions can leverage their ability to reason and act independently to automate repetitive IT tasks, such as resetting login passwords, providing system access permissions, or troubleshooting connectivity issues.
How AI assistants are revolutionizing the way you work
AI assistants are no longer just a futuristic idea—they’re tools you can use right now to transform how your business operates.
While you might still be exploring the benefits of AI technology, the technology has come a long way.
Advanced agentic AI solutions are quickly replacing traditional AI tools, providing even more intelligent capabilities.
What makes agentic AI so powerful?
Unlike traditional AI systems, these advanced tools don’t just follow preset rules. They leverage LLMs and massive datasets to actively reason and learn from the information they process.
This allows them to perform much more complex tasks.
Here’s how you can use agentic AI to make your workplace more efficient and productive:
- Simplifying employee onboarding and training procedures while automating repetitive HR tasks, like guiding new hires through their first week, so you can focus on building a great team experience
- Automating accounting reports, expense management, and financial risk assessments
- Providing your sales team with real-time help, like managing sales pipeline data or highlighting the next best steps for closing deals.
The introduction of enterprise AI assistants has led to major improvements for modern-day businesses. More than just an easy way to manage pre-established routines, AI assistants can grow and improve in line with your business.
They provide real-time support, offer important insights to encourage better decision-making, and help you maximize the potential of all every employee.
AI considerations for enterprise leaders
Although AI technology has its benefits, there are some important considerations you need to keep in mind when adopting new solutions.
A strategic approach to AI implementation ensures that the AI solutions you choose fit your organization's specific needs and deliver maximum value.
Your AI strategy involves not only understanding the specific demands and workflows of your enterprise but also evaluating the long-term implications of integrating AI into your existing infrastructure. Key considerations include:
- Compatibility: Does the AI integrate seamlessly with your current systems?
- Scalability: Can it grow alongside your business?
- Cost-effectiveness: Will the benefits outweigh the investment?
- Employee training: How easy will it be for your team to adopt and use the technology?
Through careful evaluation and strategic planning, you can unlock the full potential of AI while avoiding common pitfalls associated with new technology adoption.
Business operating procedures
It's important to remember that not all AI solutions have the same capabilities.
While some solutions offer a long list of benefits, they may not integrate well with other business technologies. This can significantly limit their ability to improve on current operating procedures.
However, agentic AI solutions can offer much more flexibility in their implementation. By bridging the gap between older and newer systems and apps, AI agents can streamline processes and provide comprehensive automation across various business functions.
This seamless connectivity opens up limitless configuration options, allowing your teams to operate more efficiently, intelligently, and autonomously.
Agentic AI solutions allow your organization to:
- Make automatic process optimizations across multiple applications and systems to maximize departmental output
- Implement proactive system control measures to avoid business bottlenecks and workload inefficiencies
- Orchestrate several AI automations, each with its own designated responsibilities, to create a holistic and highly functional automated support system
Ensuring resources and scalability
It's important for you to evaluate any areas that could cause roadblocks when beginning to adopt AI technology.
According to an IBM study, 20% of organizations lack the internal skills needed to get the most out of their AI tools, and inadequate infrastructure support is one of the most common limiting factors of successful AI implementation.
Accordingly, businesses should identify and resolve potential skill gaps beforehand and focus on solutions designed for seamless integration and scalability. This will help ensure smooth rollout and adoption, as well as a positive ROI.
Addressing ethical implications
Before adopting a new AI solution, it's important to consider its potential impact on your employees. Start by ensuring all implementations meet data privacy regulations and have sufficient security protocols in place.
Your company should have clear guidelines regarding the collection and use of AI data, but they also need to leverage system and network monitoring tools to prevent unauthorized access.
Employee adoption is another factor to consider.
Some employees may be uneasy about regularly using an AI tool due to fears of job loss. It's important to address these job security issues proactively to maximize use of new AI implementations.
Showing employees how these tools are actually designed to support and simplify their routine tasks, not replace valuable human assets, is critical.
If you plan to use AI for HR tasks, bias and fairness are also important aspects to keep in mind.
Since AI tools are trained on internal data, any inherent biases may carry over into the solution’s decision-making. However, when properly designed and monitored, these tools can actually reveal overlooked biases in HR processes and help businesses develop fair and equitable hiring practices.
Navigating legal and regulatory requirements
Modern AI tools leverage large pools of business data to perform their activities. These data pools often contain sensitive information from customers, partners, and employees.
It’s your responsibility to ensure that these tools have adequate protections in place and comply with industry regulations and legal frameworks.
Most industries have specific legal frameworks businesses need to work within when adopting new AI solutions. These frameworks cover key considerations like:
- Data protection laws: Many countries have specific data privacy laws in place, such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). These laws help ensure businesses adequately protect individual data rights.
- Industry regulations: Certain industries have specific regulations that dictate when and how businesses use customer data. Healthcare uses the Health Insurance Portability and Accountability Act (HIPAA), for example, which governs how organizations collect, store, and access patient data.
- Business standards and best practices: Understanding and upholding various labor laws related to the impact of AI on workforces is another important consideration. This also includes structuring the operational elements of AI development to operate within security standards like SOC-2 and ISO 27001.
While many laws specifically focused on AI are still evolving, failure to acknowledge and meet these industry standards can lead to serious consequences, such as non-compliance fees and legal setbacks.
Organizations should adequately research any requirements applicable to their industry before deploying new solutions and make sure any tools they use have robust protections in place.
How to prepare your business for AI implementation + adoption
Adopting AI can feel overwhelming, but it doesn’t have to be.
By carefully considering the needs of your organization and finding tools that fill all necessary gaps, you can ensure a much smoother adoption of your AI solution and unlock long-term value.
Here are the key steps to help you get started:
- Align business and technical goals: Clearly define where and how a new AI integration will fit into your business. Document the specific results you want to achieve, such as improving customer service, automating processes, or increasing efficiency.
Identify the systems, applications, and databases that the AI solution will impact, and ensure alignment across all stakeholders.
- Estimate cost savings and quantify ROI: Conduct a cost-benefit analysis of your new solution. Consider how a new AI implementation can save your organization — both by directly reducing costs and through indirect resource savings.
- Learn from customer case studies: Look for relevant case studies from businesses similar to yours that have benefited from AI integrations. Evaluate their strategies when onboarding a new AI solution and dig into how and where they gained the most value from it.
- Understand all security and privacy considerations: Take your time to understand any industry compliance regulations regarding AI tools.
Ensure the tools you consider have clear governance protocols that align with your own and will support your ability to meet all legal expectations.
- Research and select the right AI vendor: Once you have a clear picture of your implementation goals, look for vendors with solutions that best fit your needs.
Make sure you evaluate each one for the important aspects discussed earlier, such as easy scalability, seamless integrations, and advanced data security.
- After you’ve selected an AI tool for your business, create a detailed implementation plan that includes:
- Important timelines and milestones
- Resource allocation (both human and technical)
- Clear communication guidelines to keep all stakeholders informed
Your plan should also include metrics to measure the success of your AI implementation, ensuring you can track progress and make adjustments as needed.
Rely on your enterprise AI strategy as a guide
It’s essential to adopt AI methodically. This will ensure that you focus on useful features that have the biggest positive impact on your business.
Start by using an enterprise AI strategy as your guide when bringing on new tools.
By following an implementation roadmap, you'll prioritize the areas of your business that can benefit the most from new technology investments and give you the highest value returns.
Explore our comprehensive guide to building your own AI business strategy.
Keep employees informed and involved
Choosing the right technology is just the first step.
The real key to success lies in involving your employees — after all, they are the ones who will be actively using these tools every day. It’s important that they're involved in the process from the beginning.
Clearly communicate at every stage of the implementation process.
Let your team know what to expect, how the solution will help them in their roles, and why it’s an important step for the business. You can:
- Highlight specific examples of how the AI tool will simplify their daily tasks
- Share success stories from other companies that implemented similar tools to inspire confidence
- Provide training and resources to ensure they feel supported during the transition
When your employees feel included and empowered, adoption becomes easier and the impact of AI across your organization grows exponentially.
Revolutionize your enterprise with AI assistants
Imagine giving every employee in your organization access to a dedicated AI assistant that provides instant support, streamlines workflows, and adapts as your business evolves.
This isn’t a futuristic dream — it’s possible today with advanced AI assistants, like Moveworks.
Unlike traditional AI solutions, Moveworks is an agentic AI assistant designed to:
- Help your employees find the right information faster, no matter your file location or format
- Automate everyday tasks across enterprise systems
- Increase productivity with secure access to powerful generative AI
- Build and deploy AI agents at scale
Learn more about how global enterprises like yours get more done with Moveworks AI.
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