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Key area where AI is Being Used in Business

McKinsey’s Global Survey on AI reports that around 88% of organisations use AI. So, AI application in business isn’t optional anymore; it’s a necessity.  

So, how are the businesses leveraging AI to further their business objectives? 

Businesses are leveraging AI to enhance decision-making, automate operations, and build stronger customer relationships through data-driven insights and personalisation. AI is widely used across content creation, marketing, sales, HR, and finance to improve efficiency, scalability, and user experience. Despite its benefits, AI adoption faces challenges like ethical concerns, skill gaps, and integration issues, which can only be tackled by a reputed AI development company.

Let’s explore all these and more.  

How Are Businesses Leveraging AI?

Before we understand the areas where AI can be used in businesses, we have to know about the uses of AI in businesses. Let’s explore that first. 

1. Market Research

With AI in business, you can obtain and assess large chunks of data. From this, you can pull valuable insights that can’t be done by human efforts. These data-driven insights can help businesses make strategic and informed decisions.  

By analysing these large datasets, you can also predict consumer behaviour and market trends. This can help your business adjust its strategies to meet future requirements.  

Microsoft reported around 600 million attacks per day in 2024. So, in an era of increasing cybersecurity risks, AI in business can help you significantly deter those attacks. AI algorithms can assess irregularities and patterns in real time and identify cybersecurity risks.  

Therefore, AI in business can help in detecting cyber-attacks and reduce the time between the response and threat detection. 

2. Operational Efficiency

AI applications in business can also lead to automation of repetitive tasks (or time-consuming ones). You can automate tasks, leaving the workforce with free time to pursue other essential business operations. The automation may include: 

  • Data entry tasks 
  • Scheduling tasks 
  • Responding to routine queries 

We know that the generic chatbots with pre-defined responses can frustrate users. Generative AI can be used to eliminate this frustration and provide a more seamless and fulfilling CX (customer experience). 

AI can also be used to streamline business processes. This makes these operational processes cost-effective and efficient.  

For instance, a business can automate some aspectssome aspects of the hiring process, like the analysis of candidates (initial phase) and screening resumes. This way, the HR department can focus more on the strategic dimensions of hiring talent.  

3. Relationship Enhancements

You can provide a personalised experience to your customers with AI. This can be done by properly assessing their preferences.  

If you have a comprehensive idea about their preferences, you can create personalised product recommendations, marketing strategies, and customer service. This way, you can build a meaningful relationship with your customers.  

What are the Benefits of AI Applications in Businesses?

There’s no denying the fact that AI can deliver substantial benefits across various business functions.  

  • Improved Customer Experience: Gen AI chatbots and assistants are transforming interactions and offering new ways for users to engage. 
  • Insights and Data Analysis: AI can assess a considerable amount of historical data and draw conclusions that capture insights and predict the future.  
  • Efficient Business Processes: An AI application to business processes can improve the current business processes by automating repetitive tasks. 
  • Personalisation: AI can analyse user data (CRM systems) to identify preferences and user behaviour. This allows the business to have tailored messaging.  

Now that we know all about the uses and benefits of AI application in business, let’s explore the areas where AI can be used.    

What are the Areas where AI is Being Used in Businesses?

From the above uses, it is evident that AI can provide efficiency, especially to small businesses across various industries. Let’s discuss the different areas where AI can be applied. 

1. Content Generation

More and more content creators are turning to Gen AI to streamline processes and save time. Gen AI platforms like ChatGPT, Gemini, or Jasper are helping these creators produce content with detailed yet straightforward prompts.  

While some Gen AI tools help creators with text generation, others are involved with image and video generation. Some of the benefits of Gen AI application for business include: 

  • Increased productivity and efficiency 
  • Increased scalability 
  • Allowing creative ideation 
  • User-driven content by tracking necessary metrics 

No matter how efficient these Gen AI systems might seem, remember that this content is never publish-ready. You still need a skilled workforce to refine it further for the audience. Too much reliance on AI can create content debt.  

If you want to know more about content debt, you can check out: Is AI Creating Content Debt? Ways to Protect Your Website. 

2. AI Application in Marketing

ML algorithms and AI tools can be used by marketing teams to analyse data and identify user behaviour. This can optimise campaigns, ultimately enhancing the UX.  

According to Upwork, in a survey of 1000 businesses, 87% respondents used AI for marketing. The few examples of AI application in marketing: 

  • Improved segmentation and personalisation 
  • Predict market trends and customer behaviour 
  • Enhanced research  
  • Effective competitor analysis 

3. Sales

The application of AI in sales lies in predictive analysis. This helps the sales team to better understand the prospects and leads, and automate specificspecific processes that improve sales.  

1000 professionals were surveyed in 2025 and the survey found that almost 45% of sales professionals consider AI application at least once a week. AI in sales includes: 

  • Manual task automation 
  • Automating time-consuming tasks 
  • Forecast demand 
  • Writing emails (outbound) that are tailored to the customer 
  • Lead generation 

However, when writing an email, we shouldn’t just use AI tools and hit the send button. True personalisation comes from human input that evokes emotion in customers. 

Do you want to know about the difference? You can check out The Blurred Line Between Human and AI-Generated Writing. 

4. AI Application in Human Resources

AI can help your business’s HR team throughout the employee life cycle. It includes discovery, recruitment, onboarding, record management, and so on. It can also help keep talent engaged. 

Some of the AI applications in the HR area include: 

  • Content generation (textual) for recruitment materials 
  • Automating the candidate screening process 
  • Constantly drive engagement 
  • Simplify workforce planning 

5. Finance

As AI can effectively assess huge chunks of data, it can help businesses in financial planning. It can substantially improve decision-making, detect fraud, and maintain compliance.  

A survey reported that 72% of businesses in the sector are leveraging AI (Gen AI and Agentic AI) to optimise the financial operations in 2025. A few specific AI applications include: 

  • Fraud detection 
  • Automating the AML (Anti-Money Laundering) processes 
  • Regulating and adhering to compliance 
  • Forecasts by assessing financial data 
  • Allows live data assessments 

Now that we know the five key areas of AI application in businesses, let’s discuss the challenges associated with it.  

Are there AI Application challenges?

There are specific ethical and regulatory challenges to implementing AI in business. Even in October 2023, the Biden administration announced an executive order on Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence 

The order stressed the responsible use of AI. This is also intended to tackle the downsides of AI, like disinformation, discrimination, and worker displacement.  

Let’s look at three serious challenges of AI application in business. 

1. Ethical Challenges

The implementation of AI in business raises concerns about privacy, security, and the ethics of the technology. Plus, AI also needs a human touch. There should be a dedicated team that will review the results AI generates. 

This can help AI models avoid the risks of jailbreaks, sensitive data exposure, and prompt injection. If you want to know more about the dangers of unethical practices, you can check out AI Chatbots Out of Control: What You Need to Know!  

So, AI governance in business is essential to address the ethical challenges of AI implementation and the risks it entails.  

2. Skill Gaps to Enable AI Application

A proper implementation of AI also needs the workforce to be active and ready to adopt AI. To make the best out of an AI application, the skills used to use it have an effect on the best possible outcome.  

According to Microsoft’s 2024 Work Trend Index Annual Report, almost 60% business owners say that they would not hire someone without AI skills. On the other hand, 61% say their company lacks a vision for AI implementation.  

While attracting talent with AI skills can be a great way to integrate AI with the business processes, regular workshops and courses can also help businesses bridge this gap. 

3. Issues with Integration and Compatibility

Considering AI implementation and integrating it without a strategy can be a serious mistake. You have to consider how the AI solutions integrate with existing processes and software. 

Without it, you can’t successfully implement AI into your business. It should be seen as a part of a comprehensive digital strategy. Plus, the AI implementation should be scalable with future technical growth. 

If you want to know more about challenges, you can check out “UK’s AI Ambitions: What AI for Business Means, Trends & More.”     

AI Application to Business isn’t an Option but a Necessity!

As AI becomes more and more integrated with business technologies, more areas are going to be discovered.  

We can already see the collaboration of tech giants with major AI companies. The partnership between Microsoft and OpenAI is one such example. 

However, if you think you can replace the human workforce with AI, you are wrong. AI can never replace humans; humans make AI processes efficient. So, creating a workforce that is AI-ready can be revolutionary. 

Do you want to know more about how you can integrate AI in your business? 

Book a call with Webskitters Ltd. and know the best ways!   

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