From the early days of the internet to the broad adoption of digital tools for system operations, the workforce has undergone exponential change. The digital revolution continues to introduce unprecedented opportunities for every sector—chief among them is artificial intelligence (AI). Once limited to narrow use cases, AI has rapidly evolved to include large language models (LLMs) and other generative AI technologies, transforming how businesses operate, innovate, and scale.
Artificial intelligence (AI) traditionally meant programming machines to learn, reason, and self-correct. Today, this umbrella also includes large language models (LLMs)—like GPT, Claude, Gemeni, PaLM, and Llama 2—which can understand context, generate detailed text, translate languages, and even write code. Though these models still have limitations (e.g., potential for generating incorrect or biased content), their ability to handle complex tasks has opened up new possibilities for business growth.
According to a survey from Harvard Business Review, 250 executives cite the following benefits of AI in their organizations:
With the emergence of generative AI, many companies now see even greater returns on their AI investments—ranging from accelerated customer service to automated marketing workflows. To create a successful AI strategy, leaders need to identify where such solutions can genuinely bolster both revenue and efficiency.
AI can be used to help develop a plan that targets specific accounts with customized, engaging, and informative content. AI algorithms can complete the tedious task of researching and compiling essential prospect information. Leveraging this data, an AI machine can classify and rank opportunities or leads in an efficient manner. By also predicting the company’s revenue, AI can help you manage your sales pipeline, inventory, and resources.
Customer service teams can leverage AI to deploy solutions designed to improve the customer experience (CX), enhance brand loyalty, and generate new revenue streams. Tools like chatbots can provide effective customer service by responding quickly and around-the-clock to multiple queries.
According to a Hubspot research report, 56% of people would rather message than call customer service. The research also discovered that 71% of people use chatbots to solve their problems quickly.
Customer service teams increasingly deploy AI-driven chatbots to deliver faster, more accurate responses:
When customers have more complex questions, a hybrid approach combines AI-driven triage with human oversight—ensuring accurate, empathetic service.
Data analytics is key to responding to emerging trends and increasing your revenue. With the ever increasing amount of information, the analysis and use of that data is what drives results. Today’s AI capabilities go beyond traditional dashboards:
AI has become essential for understanding and engaging with audiences:
Machine-learning algorithms also reduce product return rates and cart abandonment by showing users the right products at the right time. In short, AI initiatives across these business sectors can boost productivity, accelerate revenue growth, and drive meaningful results.
The common thread across all these use cases is AI’s ability to solve well-defined problems by analyzing data from multiple angles. Thanks to modern LLMs, AI can also tackle more open-ended challenges—such as drafting policy documents, summarizing lengthy research, or even providing creative brainstorming ideas.
However, AI works best in tandem with humans. Machines can analyze data and suggest courses of action, but people add critical judgment, context, and empathy. Whether it’s recruiting employees more efficiently or refining brand messaging, AI helps decision-makers identify powerful insights so they can execute on informed strategies.
With great power comes great responsibility. As businesses adopt generative AI and LLMs, they must also consider:
Though organizations might want to implement AI solutions quickly, tapping into the full potential of AI requires careful planning.
As AI continues to advance, expect to see:
If your business is looking to create a successful AI business strategy, we can help! At Seamgen, we’ve helped a number of clients get the most out of machine learning, natural language processing (NLP), and predictive analytics. We’ll partner with you to analyze your operations, identify the best use cases, and deliver AI solutions that meet the unique needs of your business and customers.
To learn if your business could benefit from an AI strategy—especially one that harnesses the latest in large language models and generative AI—please contact us. We’ll work together to chart a path that drives growth, efficiency, and long-term success.
Want more tech articles and tech trend news on AI? We got you covered.