Uses of AI to generate value in companies
Artificial Intelligence has stopped being a futuristic promise to become the silent engine driving the most efficient companies in the market. However, amidst so much media noise about robots and complex algorithms, the most important thing is often lost:
What is AI really for in your organization?
It is not about implementing technology because it is trendy. It is about solving business problems: reducing costs, selling more, or making your employees and customers happier. Below, we break down the AI applications that are providing tangible and objective value in organizations today.
The Leap from Chatbot to Transactional Assistant (GenAI)
We have all interacted with chatbots that frustrate more than they help. The Generative AI (GenAI) revolution has changed this paradigm. We are no longer talking about systems that only answer frequently asked questions (“What are the opening hours?”), but about conversational assistants capable of executing tasks.
The great objective advantage here is the transactional capacity. Let’s imagine an assistant that not only tells an employee how to request vacation time but connects to the HR system, checks available days, and processes the request on the spot. Or a customer service assistant that not only provides information about a procedure but carries it out from start to finish without human intervention.
- The value: Massive release of operational load in Contact Centers and internal departments, real 24/7 availability, and a natural, frictionless user experience.
Hyper-personalization and Sales Rescue (Intelligent CRO)
In the digital world, “one size fits all” no longer works. AI allows analyzing a user’s behavior in real-time to offer exactly what they need, when they need it. This applies both to offer personalization (what product to show) and proactive assistance during navigation.
Imagine a user is in your purchase or registration process and stops for a long time at a specific field, or tries to enter incorrect data several times. AI detects that anomalous behavior pattern (struggle) and activates a proactive assistant that offers specific help for that problem, preventing them from leaving the page.
- The value: Direct increase in Conversion Rate (CR), recovery of carts or registrations that were considered lost, and an improvement in brand perception by “taking care” of the user when they have a problem.
Predicting the Future: Scoring and Retention
Your company’s historical data is a gold mine if you know how to query it. AI applied to predictive analytics allows moving from analyzing “what happened yesterday” to predicting “what will happen tomorrow.”
Two key applications in this area are Scoring and Churn Prediction. Using Machine Learning algorithms, AI can assign a score to each potential customer (lead) indicating their actual probability of purchase, allowing sales teams to focus only on the most profitable ones. Likewise, it can identify subtle patterns in current customers indicating they are about to leave for the competition, allowing the company to act before it is too late.
- The value: Optimization of commercial resources (focus on who is going to buy) and protection of the recurring revenue base (proactive retention).
Listening to the Voice of the Customer at Scale (NLP)
Companies receive thousands of comments daily on social media, app stores, emails, and surveys. It is humanly impossible to read them all and draw objective conclusions. This is where Natural Language Processing (NLP) comes in.
AI can read and “understand” thousands of texts in seconds, detecting not only if the comment is positive or negative (sentiment analysis), but the intent and the specific topic (for example, detecting that 80% of yesterday’s negative complaints are due to a specific bug in the latest App update).
- The value: Early detection of reputation crises, automatic identification of bugs or product issues, and deep understanding of what customers truly value without human biases.
Applying AI in Your Organization
Artificial Intelligence in business is not magic; it is mathematics and technology applied to efficiency. Whether conversing, predicting, personalizing, or listening, the ultimate goal must always be to provide a clear return to the organization.
At Luce IT, we understand that every organization has a different level of maturity. That is why we have our own solutions such as LIA for advanced conversational assistance, PIA for conversion optimization, and our Data Platform to deploy predictive models. If you want us to help you identify where AI can bring the most immediate value to your business, contact us.
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