Text enhancements for clearer and swifter communication
Adjust text tone
Amplify your brand's voice and let AI customize the message tone to match your unique style. Whether it's polite, formal, or casual, AI mirrors your and your customers' messaging.
Expand any thoughts
If your response is too brief or organized in a way that flouts the rules of effective communication, you can effortlessly expand different content scenarios with a single click.
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Improve grammar with ease
Awkward tones, grammar slip-ups, and spelling errors? Use AI to compose your messages flawlessly by providing instant solutions through crystal-clear written communication.
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Achieve support excellence with AI‑based features
Give real-time support
Deliver instant assistance and auto-resolve simple and the more sophisticated tickets with ready-made automations.
Promise 100% satisfaction
Get prompt feedback on your support quality. Work on the overall satisfaction and positive interaction experience.
Be on time with resolution
How quickly you respond to new messages really matters. Follow the industry average ticket resolution time to hit the best metrics.
What AI features will appear in the HelpDesk software next?
Automate repetitive and common cases by manually triggering macros in a ticket. Run a sequence of actions in a second under your absolute supervision.
Automatically identify ticket languages to route them to the right agents, breaking down language barriers for global support.
Auto-response with suggested answers
Instantly acknowledge any ticket and then choose from suggested responses for quick, personalized customer interactions.
Learn more about modern AI-based customer support
NLP, or Natural Language Processing, is a technology that enables computers to understand and interact with human language. In customer support, NLP can be seen in action through chatbots that can understand and respond to customer queries in real time.
For example, when a customer asks a chatbot about an order status, NLP helps the system understand their question and provide an accurate response, enhancing the support experience.
GPT, or Generative Pre-trained Transformer, is a cutting-edge language model that has found applications in customer support. GPT-powered chatbots can engage in more natural and contextually relevant conversations with customers.
Chatbots can provide detailed explanations, troubleshooting steps, and even generate personalized responses. This technology ensures that customers receive accurate information and solutions promptly.
AI employs sophisticated algorithms to understand and generate human-like responses. By analyzing the plain language used by customers, AI systems interpret the intent behind their questions and provide relevant solutions. This approach eliminates the need for complex jargon and allows customers to communicate in a way that feels familiar.
Yes, it is. HelpDesk software's safety is based on factors like regular updates, strong access controls, encryption, user permissions, audit logs, data backups, third-party integrations, security testing, compliance, and incident response plans.
NLU, or Natural Language Understanding, takes NLP a step further by allowing machines to comprehend the nuances of language. In customer support, NLU enables systems to understand the intent behind customer queries.
For instance, if a customer expresses frustration, NLU helps the system identify the sentiment and respond appropriately, showing empathy and improving satisfaction.
Modeling in customer support involves training AI algorithms to understand and mimic human-like interactions.
For instance, AI models can be trained on historical customer interactions to learn how to address various issues effectively. When a person presents an issue, the AI model uses its training to generate responses that align with how a human agent would assist, ensuring consistent and helpful support interactions.
Statistics form the backbone of AI-based customer support. The AI systems are trained on vast datasets, which include historical customer interactions and their outcomes. By analyzing these statistics quickly, AI learns how to predict the most appropriate responses for different customer queries, enhancing the accuracy of the support provided.
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Core ticketing features
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