AI Help Center – Using AI to Help Customers Get the Answers They Need

AI helps support teams save time and resources, automates repetitive tasks, personalizes interactions, finds solutions, prioritizes tickets or queries, and much more.

AI is a powerful tool that improves the customer experience and agent experience. It can remove redundant and repetitive work, freeing up time for agents to handle more complex issues or escalate tickets.

Artificial Intelligence

A growing number of businesses are using AI to help customers get the answers they need, whether that’s through chatbots or in-app guidance. These solutions can scan customer data and provide recommendations based on their browsing/buying habits to make the experience more personalized.

One of the most common use cases for AI is in customer service, where these tools help agents identify the right people to answer specific queries. They can also measure call times and first resolution to help with efficiency in the contact center.

Another way to implement AI is through software that analyzes customer behavior profiles and matches customers with the best agents for their queries. This helps to reduce call time and ensures a positive customer experience.

As government agencies use AI to improve services, they must take steps to ensure that they are doing so responsibly. This involves ensuring that they have a strong foundation of data, talent and governance.

Natural Language Processing

Using natural language processing (NLP) tools, companies can automatically sort and route customer feedback, including comments on social media, email support tickets, online reviews, and news stories. This helps organizations deliver more personalized service, respond to concerns faster, and make decisions in real time.

NLP is an engineering discipline that uses computer algorithms and artificial intelligence to recognize human speech and text. It has been around for more than 50 years and evolved from computational linguistics, which is the study of language.

In the 1990s, NLP research shifted from a linguist-based approach to one that relied on statistical methods to develop rules based on data. This allowed computers to process large amounts of data faster and easier than a linguist could.

Machine Learning

Machine learning is a branch of artificial intelligence that allows computers to learn from data without being programmed. It’s behind chatbots and predictive text, language translation apps, the shows Netflix suggests to you, and how your social media feeds are presented.

But it’s also a technology that can be misused or even dangerous, a problem that could impact public safety. Government agencies are already experimenting with AI and machine learning in a variety of ways.

Machine learning can help agencies make better resource-allocation decisions, improve efficiency and effectiveness, and increase accuracy. It can also be used to assess risk, like pinpointing high-risk clients for cybersurveillance and detecting fraud.


FAQs are a critical component to any website and help customers find solutions to their questions. They’re also a great way to build trust and overcome obstacles to conversions.

Many companies create static FAQ pages that answer the most common questions. Others use their own knowledge base software, like Zendesk, or AI-driven chatbots to respond to customer inquiries at scale.

A good FAQ page will be organized, easy to navigate, and provide a user-friendly experience. It should be a place where customers can ask their most pressing questions about your business and receive accurate answers right away.

The best FAQ pages will have an intuitive search feature that allows customers to quickly find what they’re looking for. They’ll also include links to additional resources to help customers get the answers they need.