The discussion of how businesses can use artificial intelligence (AI) with machine learning (ML) to improve efficiency, increase productivity and gain a competitive advantage is nothing new. But, thanks to the launch of ChatGPT in November 2022, the perception around, and discussion about, AI has evolved.
The question is not how businesses will start leveraging AI/ML, but when. Dropbox made waves in April when the company told its employees that it would be laying off nearly 500 people to consolidate business lines and build out its AI division.
Forbes Advisor recently surveyed 600 business decision makers using or planning to incorporate AI in business. Almost all (97%) business decision makers said they believe ChatGPT will help their business, and 64% said they believe AI will improve customer relationships.
However, implementing AI solutions can be challenging, especially for small and midsize businesses (SMBs) that lack the resources, skills or infrastructure to develop and deploy AI applications. But it doesn’t have to be hard. Low-code AI Agents offer an opportunity to incorporate an agent into existing infrastructure in minutes with plain language. Integrating with various data sources, services, and APIs that leverage data also provides more personalized and actionable insights for the customer.
Low-Code AI Benefits
Low-code platforms can help businesses of all sizes reap the benefits of AI in several ways:
Reducing complexity: Low-code platforms simplify the process of building AI applications using industry leading models that are easily trained and customized.
Increase personalization & customization: Businesses can tailor their AI applications to their specific needs and preferences, such as proprietary data sources, features, workflows, interfaces, or outputs.
Enhancing collaboration: Low-code platforms make it easier to share feedback through the platform, as well as test and iterate on applications in real time.
Accelerating deployment: The simplicity of low-code platforms automates and streamlines the development and deployment process, which delivers AI applications to your existing infrastructure faster.
Real-Life Use Cases of Low-Code AI
Companies of all industries and sizes, from NVIDIA to Marco’s Pizza, are using AI to create various types of applications to improve customer interactions and increase overall customer satisfaction. So, how can your business leverage low-code AI to improve your performance and outcomes?
AI as Receptionist: One of the more common and popular uses of AI is to field incoming calls from current and future customers. Businesses should look for providers that can offer natural language processing (NLP) and speech recognition to build AI phone trees (IVRs) in a low-code environment that understand the caller’s intent and provide relevant information or actions pre, during, and post call. For example, the AI call tree can answer FAQs, schedule appointments, open support tickets, route calls to the appropriate department, or collect and log feedback.
Chatbots: Businesses are using NLP and natural language generation (NLG) to build more sophisticated website chatbots that build responses and take action based on specific keywords and phrases. For example, a plumbing company can deploy a chatbot that offers solutions, tips, or quotes for a leaky shower head, but steers customers toward a consultation, logs a support ticket, or provides an estimate for a clogged drain.
Lead scoring: Sales and marketing teams are using AI to enhance lead generation, using low-code platforms to build lead scoring systems fueled by machine learning and data analytics. These systems assign scores to leads based on various criteria, including demographics, engagement, and purchase history, that enable the sales team to focus on the most qualified and promising leads.
AI is a powerful technology that can help businesses gain a competitive edge in the market, and low-code platforms open the door for companies that don’t want to invest the time or resources required to deploy AI applications. But while there are many low-code platforms available, true low-code is deployed easily through plain text prompts or a rich visual interface in minutes. With a true low-code platform, AI should be able to help your business deliver exceptional customer service, reduce capital expenditures, and improve overall efficiency.