GPT large language model API
Claude large language model API
Azure AI large language model API and Email API
Email API & large language model API
Compute, storage & networking
Applied, audited security standard
LLama3 large language model API
Low latency AI platform
Automate up to 80% of tasks, freeing your employees to spend their time on higher value tasks and your business to do more with less.
Create new ways to interact with your products online. A virtual assistant can be requested to change a shoe colour or carry out an interactive onboarding.
A bot can handle unlimited number of conversations simultaneously reducing customer service queues and ensuring potential sales don’t go elsewhere.
Meeting every customer request with a personalized response will bring you more sales and likes. A bot can spend that time with each customer without draining employee resources.
A bot can help with sales, lead generation, and act as an interface, hostess, psychologist, helper and information gatherer.
Connect with users wherever they prefer: your website, mobile app, the Google Assistant, Amazon Alexa, Facebook Messenger, and other popular platforms.
By analysing all of your customer interactions, including call recordings, you can obtain real-time information about what your staff are saying and how they are behaving, allowing you to quickly address performance issues.
Provide account details, package management, quote wizard, take payments, book rooms, locate a store, send reminders and much, much more.
Implementing AI customer service agents is straightforward due to readily available AI technologies and tools, but doing so effectively and securely is a complex task that requires significant expertise. The simplicity of basic implementation belies the challenges in ensuring data security, privacy, and the nuanced understanding of human communication. Achieving a high level of effectiveness and security in AI agents demands a deep understanding of machine learning and continuous refinement based on real-world feedback, making it easy to implement them poorly but difficult to do so effectively.
AI customer service agents are software programs that use artificial intelligence to assist with customer service tasks. They can handle inquiries, provide information, and resolve issues.
They are used for handling customer queries, technical support, providing product information, assisting in the purchase process, providing technical support, and automating routine tasks.
Yes, most AI customer service agents can be integrated with existing databases. This allows them to access and use historical data to better respond to customer inquiries.
AI customer service agents are good at handling routine and moderately complex tasks. With highly complex or nuanced issues they can hand over to a human agent.
The set up cost varies depending on the complexity, platform, and capabilities required. Hostcommm's AI agent is based on a pay as you go model.
It is similar but due to the power of modern large language models such as GPT4 it is easier to set up, handles conversations better and can understand customer intents very well.
AI email triage uses artificial intelligence to sort, prioritise, and manage emails. In this process, AI algorithms analyse the content and context of incoming emails and categorise them.
Hostcomm's AI customer service agents is designed with security in mind. It uses encryption and secure protocols to protect data and restrict access to PII data to the UK or relevant region.
Setting up a Hostcomm AI customer service agent can be completed in less than an hour assuming you already have knowledge base data ready. It does not require coding unless custom integration is required.
Yes, it is designed to work across multiple channels, providing a consistent experience whether customers are interacting via email, chat, SMS & social media.
AI customer service agents, like Hostcomm's, learn and improve from documents, Q&A pairs, historical data, and call recordings using Large Language Models.
Yes it can integrate with any system that has a web API or database access and it works with Zapier & Make.
Customer response varies, but many appreciate the quick and efficient service provided by AI agents. Clear communication that a customer is interacting with an AI can help set appropriate expectations.
Training is achieved quickly by uploading documents, emails, Q&Q pairs and other types of conversational data text. This can be done via the user console.
Yes, Hostcomm's AI customer service agent restricts PII data to the UK region and it is encrypted and stored in AWS or MS Azure in local availability zones. We also have LLMs on our own platform in the UK.
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