AI in Business - How to Increase Revenue, Improve Operational Efficiency, and Boost Growth with AI

Artificial intelligence is transforming businesses, unlocking opportunities for growth and profitability. According to McKinsey, in 2024, over 70% of surveyed businesses have already adopted AI technology in at least one business function, and over half of organizations implemented it in two or more. This demonstrates the growing importance of AI-powered tools in modern businesses.

In this article, we explore the benefits of implementing AI in business with real-life examples and practical use cases that can help you realize the potential AI holds for your business.

What is AI in Business?

Artificial intelligence (AI) transforms businesses by automating processes, enhancing productivity, reducing costs, and enabling smarter decision-making through data-driven insights.

AI leverages technologies like Machine Learning (ML), Natural Language Processing (NLP), deep learning, computer vision, robotic process automation (RPA), predictive analytics, agentic AI, and generative AI - each playing a role in streamlining workflows, analyzing large datasets, and personalizing interactions with clients.

Benefits of Implementing AI into Business

Your business can benefit greatly from the implementation of AI. From increased productivity to better decision-making and improved customer experience.

Increased operational efficiency

AI can significantly increase productivity by automating repetitive and time-consuming tasks that traditionally require human intelligence. Employees who had to spend hours on mundane tasks, such as updating data or answering frequently asked questions, can now focus on more strategic and valuable work.

Additionally, implementing AI technology can boost operational efficiency by analyzing business processes and providing actionable insights on how to improve them.

Better decision-making

AI technology can support businesses in making better decisions. By quickly analyzing vast amounts of data, such as customer data, market trends, competitor information, economic state, etc., AI models can derive valuable insights. Based on these, stakeholders can make data-driven decisions regarding their operations.

For example, AI can analyze historical sales, competitors pricing, and customer demand to recommend optimal pricing for products and services.

Reduced costs

AI technology can help you better manage your expenses and lower operational costs.

AI models provide valuable insights that enable better resource allocation and minimize waste. For example, rather than spending money on products that don’t perform or advertising channels that yield low ROI, AI helps you identify and redirect funds to the most promising opportunities. Because it analyzes performance reports in real-time, it can ensure your business invests in areas that have an actual impact on your bottom line.

AI can also uncover hidden opportunities for cost savings by analyzing your business spending patterns. Whether it’s optimizing inventory management, improving material procurement processes, or even negotiating better supplier terms, AI can find areas where you can save money.

Revenue growth

AI not only helps reduce the costs but can also directly drive revenue growth. By leveraging AI’s advanced capabilities in data analysis, customer insights, and predictive modeling, you can identify new opportunities and optimize sales strategies.

According to Accenture, companies that have fully integrated AI across their operations, attributed, on average, nearly 30% of their total revenue to AI.

For example, AI can offer personalized product recommendations to your customers in real time based on their preferences, browsing history, and past purchases. It can also adapt the recommendations as new data becomes available, ensuring it always suggests the most accurate products. Customers who receive these tailored product suggestions are more likely to make additional purchases compared to receiving generic recommendations. This way, AI increases the average order value and boosts revenue growth.

Improved customer experience

Nowadays, customers demand personalized experiences and products. From tailored support to marketing communication, businesses need to engage customers on an individual level to build stronger relationships and foster loyalty.

AI can help your business improve your customers' experiences by analyzing customer data, needs, and preferences. By leveraging these AI-driven insights about your clients, you can deliver tailored product recommendations, provide timely customer support, and customize marketing materials.

Seamless scalability

If you’ve been putting off business expansion because you’re afraid of increased costs or downtime in daily operations, you’ll be glad to hear that AI can solve your problems.

AI tools can scale along the business needs and accommodate the increased number of workflows, data, and customer interactions without requiring a proportional increase in resources or overburdening your workforce.

Competitive advantage

AI can empower your business with real-time insights, predictive analytics, generative AI, and automation that streamlines and optimizes processes. By leveraging AI across your entire organization, you can make faster, data-driven decisions, enhance customer experiences, and unlock new revenue opportunities.

Use Cases of AI in Business

The number of AI use cases in business continues to grow, from sales, marketing, and customer service, legal, cybersecurity, and supply chain management.

Here are some of the popular applications of AI:

Marketing

Marketing professionals use AI in business to personalize ads, generate social media posts, and tailor product recommendations.

Customer segmentation and personalized content

AI can analyze customer information to segment business audiences based on demographics, behavior, preferences, and purchasing habits and help marketers target specific customer groups more effectively with personalized marketing materials. It helps create targeted ads, emails, content, and product recommendations, increasing the likelihood of conversion.

AI technology can also support the creation of new marketing campaigns. From brainstorming new ideas to content creation and optimization, marketing professionals can use generative AI capabilities to streamline their work.

According to Gartner, by 2025, 30% of outbound marketing messages from large organizations will be generated using AI tools.

Campaign performance optimization

Artificial intelligence can also be used to analyze campaign performance and make adjustments to increase its effectiveness. For example, AI can recommend increasing ad budgets for specific products or changing marketing channels to more engaging ones.

AI can also support A/B testing by quickly generating multiple variations of the same content to test which headings, calls to action or visuals are the most effective.

Sentiment analysis and social media management

Social media managers can also benefit from AI’s ability to analyze customer sentiment. AI-powered tools can constantly monitor brand mentions, social media platforms, and customer feedback to understand client sentiment. By providing these insights, AI supports businesses in managing their brand image.

Sales

Sales forecasting

Traditionally, sales forecasting relied on historical data, manual analysis, and intuition, yielding mixed results. However, with the rise of artificial intelligence sales representatives can use predictive AI models to forecast future sales performance more accurately.

AI automatically analyzes historical sales data, customer behavior, market trends, economic conditions, etc., to generate more accurate sales forecasts. By leveraging machine learning, it identifies patterns and correlations that otherwise might have gone unnoticed. Thanks to AI’s ability to learn from new data, it can dynamically adjust its predictions.

Thanks to real-time insights provided by predictive AI, businesses can make data-driven decisions about their strategies, inventory, production, resource allocation, staffing, and financial planning to better respond to future demand.

Lead capture and processing

AI tools can assist sales professionals in effective lead capturing and processing. AI agents can automatically create leads, assign scores to them, and summarize their needs from a simple description in natural language. They also prioritize leads based on business type, level of interest, and urgency, and set up automatic follow-ups to ensure sales representatives engage with the most promising opportunities first.

AI tools can also provide next-best action recommendations and suggest personalized offers, increasing the chances of closing a deal.

Personalized prospecting

AI can assist sales representatives in their prospecting efforts by helping them find potential clients that fit the ideal customer profile and effectively engage with them.

AI models analyze data from websites and social media profiles such as Linkedin, to find prospects that might be interested in the company’s offers. It also helps sales agents personalize their outreach messages by providing valuable insights about each prospect. Sales representatives who have access to such insights can tailor their messages and emails to grasp prospects' interest and increase the chance of closing deals.

Real-time sales assistance

AI tools can act as virtual sales assistants supporting sales professionals in their daily tasks. AI agents powered by agentic AI capabilities, can automate repetitive tasks, such as updating sales pipelines, scheduling meetings, and sending follow-up emails, allowing sales reps to focus on actual selling.

For example, when potential clients fill out contact forms, automation tools powered by agentic and generative AI can analyze their data and send a personalized email inviting them to schedule a call, without engaging sales agents at this stage.

AI can also provide real-time suggestions and insights during sales meetings and calls by analyzing customer interactions and historical data. It can recommend the next best action and additional or complimentary products to help sales representatives increase order value. AI can also capture live notes, summarize key points, and draft a post-meeting action plan with next steps and required documentation.

Customer service

Customer service teams often drown in hundreds of customer inquiries and struggle to provide timely and relevant support. However, with the use of AI tools, they can make customer interactions more efficient and personalized.

AI chatbots for 24/7 support

Typical queries regarding products, services, prices, and shipping can be handled by AI-powered chatbots that can provide instant support 24/7 in natural language.

By automating routine interactions, businesses can significantly reduce customer service costs while maintaining high-quality support. Instead of establishing expensive customer support centers across multiple time zones, companies can rely on AI chatbots to handle simple inquiries in multiple languages efficiently. Additionally, AI chatbots can effortlessly manage high volumes of customer requests during peak periods, such as Christmas and other holidays.

Automated case routing

Complicated cases that require a human touch, such as processing insurance claims or handling escalated customer complaints, can be automatically routed to the best-fitting customer support agent thanks to the intelligent routing features in AI tools.

While chatbots handle common and simple inquiries, AI agent categorizes more complicated cases based on urgency and complexity, ensuring they reach the right agent. This automation helps businesses speed up resolution times, increase efficiency, and ensure that the most pressing issues receive immediate attention.

Real-time customer service assistance

AI can also assist service teams that provide on-site customer support, such as field technicians, maintenance teams, and IT specialists. AI agents gather and analyze customer data to provide service teams with comprehensive information about the prior service requests, maintenance records, and machine data. They also surface past tickets with successful resolutions and recommend next steps, like diagnostics, replacement options, etc., to help provide effective customer service.

Human resources

AI can help HR specialists streamline hiring, reduce costs, and enhance employee retention. Human resources professionals can use AI in the hiring process to generate job descriptions, prepare outreach emails, and automate initial candidate screening.

AI tools can analyze resumes based on specific qualification criteria and prepare a list of the best-fitting candidates. It can also help generate interview questions, summarize crucial information after the interview, and prepare personalized follow-up emails.

Apart from hiring, implementing AI-powered sentiment analysis tools can help HR specialists improve day-to-day employee experiences and enhance retention. AI can analyze employee feedback from surveys, chats, and emails and identify potential dissatisfaction and issues. It can also provide recommendations on how to improve employee satisfaction with personalized career development paths, additional benefits, etc., to prevent costly turnover.

Cybersecurity

With cyberattacks becoming more sophisticated and difficult to detect, security teams can have the edge over cybercriminals by recruiting AI tools.

AI continuously monitors network activity to reduce the risk of emerging threats and detects anomalies that could indicate potential cyber threats, such as unauthorized access, malware, or phishing attacks. Unlike traditional security measures that rely on predefined rules and previously known cyberattacks, AI can identify new, previously unknown threats by analyzing and learning from new patterns and behaviors. It can also enhance fraud detection efforts by identifying fraudulent transactions and suspicious behavior.

When a security issue occurs, AI can automatically take necessary actions. It can block malicious IPs, flag suspicious activity, and notify security teams, which helps minimize the damage.

Legal departments

Legal departments have to manage large volumes of legal documents, ensure compliance with complex regulations, and handle time-sensitive legal matters. By adopting AI tools, your legal team can increase operational efficiency and reduce errors.

Legal departments can automate the contract review process with AI-powered tools to ensure compliance with legal standards and reduce the time spent on routine tasks from several hours to just a few minutes. AI can quickly analyze contract details and identify gaps or potential risks, preventing negative legal consequences.

According to Litify’s report, 92% of legal professionals who use AI reported they save a significant amount of time on legal work, with over 30% of them saving up to 10 hours every week!

AI can also streamline the creation of legal documents, including contracts, compliance reports, NDAs, etc. While AI models can generate the initial draft, legal professionals need to review them and adjust to specific situations. This automation can help your legal team save time as well as reduce the risk of human error. Additionally, AI tools can be trained to understand industry regulations, such as GDPR, CCPA, HIPAA, etc., and help businesses ensure compliance.

Accounting

Accounting teams often face challenges such as processing large volumes of financial data, ensuring compliance with ever-changing regulations, and maintaining accuracy. AI is transforming how accounting departments operate by ensuring faster, more efficient processes, more granular data analysis, and better decision-making.

AI agents can significantly reduce the time accountants spend processing invoices by automatically matching them with orders. They can also find discrepancies in real time, preventing human errors. According to the KPMG Global AI in Finance report, 72% of almost 2000 surveyed companies use AI technology for financial reporting and over 50% say the ROI of introducing AI is beating their expectations.

Accountants can also use AI-powered tools to generate financial reports with valuable insights into a company’s financial situation and financial predictions based on historical data and market trends. If your business operates globally, AI systems can also streamline tax compliance by continuously tracking tax laws and ensuring your company's financial records are always compliant with local and international regulations.

IT departments

Unless your business employs dozens of IT professionals who can handle every aspect of infrastructure management, security, and troubleshooting, you probably find it challenging to balance the demand with limited resources. This is where AI can make a real difference by automating routine tasks and autonomously enhancing system security.

To streamline their operations, IT teams can benefit from machine learning and natural language processing. This practice became so popular and widespread that it received its own name - Artificial Intelligence for IT operations. With AIOps, IT professionals can automate performance monitoring, data backups, detecting anomalies, and troubleshooting errors. By automating these routine tasks, your IT team can resolve system issues faster.

Did you know that you can also use AI-powered chatbots internally? They can help your IT departments handle common IT support issues, such as recovering passwords, resetting accounts, and updating software. While AI handles routine support tasks, IT professionals can focus on resolving complex technical problems and improving systems.

Supply chain management

Businesses can use AI to optimize their supply chain management and increase profitability. From improved inventory management to streamlined procurement processes, predictive AI helps minimize waste, reduce costs, and increase management efficiency.

Inventory management

Predictive AI analyzes customer demand, historical sales data, and external factors such as market conditions, trends, and seasonality to forecast future demand and help businesses effectively manage their inventory.

AI agents reduce overstocking and prevent shortages by constantly monitoring stock levels across all shops and warehouses and autonomously placing orders or alerting inventory managers when it’s time to restock products. This helps businesses minimize storage costs and avoid losing customers due to stockouts.

Material procurement processes

AI-powered tools can increase the efficiency of procurement processes by helping businesses find the right suppliers, prevent bottlenecks in supply chains, and automate order processing.

AI can analyze supplier databases, past purchase data, and supplier performance to help businesses find the best suppliers to fit business procurement needs. It can also automate the creation of purchase orders, contract analysis, and invoice generation to streamline procurement workflows.

Businesses can use AI to predict potential issues, detect errors, and manage risks, preventing disruptions in supply chains. By leveraging insights provided by AI, businesses can actively respond to potential issues, such as material shortages in some countries, by choosing a different supplier.

Supply terms negotiating

AI tools can support businesses in negotiating better supply terms by providing valuable insights regarding market pricing and competitor benchmarks. Businesses can leverage AI-driven insights to negotiate pricing, contract terms, and discounts for bulk purchases.

Generative AI can also support negotiators by creating scenarios and simulating negotiations. It can generate potential supplier responses, objections, and counteroffers, helping negotiators prepare persuasive arguments, which will help them secure better deals.

Find out more about the use cases of AI - https://www.creatio.com/glossary/generative-ai-use-cases

Artificial Intelligence Era in Business

What’s truly remarkable is how quickly AI has been integrated into day-to-day business operations. AI is no longer just a tool for tech giants or early adopters; it has become a key enabler for businesses of all sizes. From retail to finance, healthcare to manufacturing, AI is helping companies enhance customer experiences, streamline supply chains, and optimize financial performance.

According to recent reports, AI adoption in business has accelerated significantly in the past few years, with companies seeing increased productivity, faster decision-making, and more personalized customer interactions. Businesses investing in AI already see substantial returns, outperforming competitors that have been slow to integrate these technologies.

Real-life examples of AI in business

In this section, we will describe two real-life examples of Creatio’s clients who implemented Creatio.ai into their operations and achieved remarkable results.

Telecommunication company

Ukrtelecom is a telecommunication company that implemented a specialized auto-scheduling mechanism, enhanced by Creatio AI technologies to prioritize tasks and select the most suitable employee for resolution. By implementing the Field Force Management (FFM) tools, Ukrtelecom increased productivity by 30%, reduced the number of errors by 25%, and improved customer satisfaction by 24%.

Find out more

Automotive industry

Autocom, an automotive retailer from Latin America automated over 400 workflows using Creatio, achieving significant productivity gains. Soon, they plan to use Creatio AI to enhance predictive analytics, and personalized customer experiences even further. Autocom aims to anticipate customer needs with precision and optimize inventory management to achieve greater efficiency.

Find out more

Implementation of AI technology in Business

How exactly can you implement AI into your business functions? You could of course decide to use a few separate AI tools for different purposes - a customer support chatbot from company X, a text and image generative AI from company Y, and a sales forecasting software from company Z.

However, this approach can cause some issues. First of all, implementing all these tools and training your employees in using them can be time and labor-consuming. Secondly, this could be potentially quite a costly solution. Each of these tools would have to be enterprise-grade software that ensures the safety of sensitive data. You can’t just use free versions of popular tools such as ChatGPT or Gemini from Google.

The best approach to ensure your business can benefit from implementing AI safely, cost-effectively, and smoothly is choosing one tool that integrates all use cases of AI into a cohesive platform.

Enter, Creatio - an AI-native no-code platform and CRM, which helps businesses reduce operational inefficiencies and achieve powerful productivity gains. Creatio.ai delivers a unified AI architecture with a robust set of the latest capabilities, all built using intuitive no-code tools. It combines all key AI patterns - generative, agentic, and predictive AI into one platform with pre-built AI skills for marketing, sales, customer service, and workflow automation.

Empower Your Business With Creatio.ai

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Creatio.ai empowers sales teams to work more efficiently and strategically by leveraging AI skills to automate routine tasks and provide deeper insights. Your sales agents can spend more time on establishing relationships with customers, while Creatio.ai takes care of lead and opportunity scoring, generating sales dashboard summaries, creating communication templates, and providing cross and up-selling recommendations.

Creatio.ai for sales - lead scoring

Creatio.ai redefines how marketers design, execute, and optimize campaigns by integrating AI throughout the marketing lifecycle. It can segment the audience based on pre-defined criteria, design the whole campaign flow, generate engaging content for emails, and ads, and provide an overview of campaign performance with actionable recommendations on how to boost results.

Creatio.ai for marketing - campaign flow designer

Creatio.ai enhances support teams' ability to deliver exceptional service by providing intelligent assistance for faster and more accurate case resolution. While customer service agents take care of complex cases, Creatio.ai can automate case routing, streamline case resolution, analyze customer sentiment to generate accurate responses, and help enhance service management.

Creatio.ai for customer support - sentiment analysis

Creatio.ai also provides powerful, general-purpose AI Skills that enhance productivity across any business workflow. For example, Creatio.ai can generate and localize content, automatically schedule meetings, summarize business calls, and many more.

But this is not all. Thanks to the no-code-driven AI automation capabilities of Creatio, businesses can build their own AI-driven solutions with no-code tools. Creatio empowers non-technical users to use natural language to create and deploy new AI Skills without writing any code, to create solutions tailored to your business’s unique needs. You can generate prototypes for business applications using prompts in natural language, and design whole business processes using simple descriptions.

Creatio.ai - AI-empowered application design 

With Creatio, AI adoption is a seamless and intuitive experience. Whether you aim to optimize existing processes, enhance customer engagement, or build entirely new AI-powered applications, Creatio provides the tools to make it happen. The future of AI-driven business transformation is here, and by choosing Creatio, you can lead the way.