The need for effective and timely customer service has made it necessary for contact centers to deploy AI solutions. AI assistants automate mundane business processes, enable businesses to handle customer inquiries effectively, and provide customer support 24/7. Implementation of this technology improves accessibility and efficiency, leading to faster resolution for customers and less costs for enterprises.
Sentiment Flow is an AI platform designed to enhance customer interactions through an easy to use low-code visual feature set. As a result, businesses can automate entire contact center channels without deep technical knowledge. Furthermore, Sentiment Flow integrates into any internal system, enhancing existing workflows and customer support strategies seamlessly.
To seek deeper understanding on the transformation of contact centers by AI Assistants, read The Future of AI in Customer Service.
Core Attributes of AI Assistants in a Contact Center
1.Use of AI with Low-Code Programs
Most businesses encounter challenges when trying to integrate AI into their operations due to lengthy development procedures. Sentiment Flow and other low-code platforms democratize the AI tools’ deployment, since they can be used by people with no programming capabilities. This results in swift deployment, and ability to change the systems easily as customer service requirements change.
2.Omnichannel Support
Customers can now be reached through several modern contact center channels such as:
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- Voice
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- Chat
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- SMS
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- Social Media Platforms
An AI assistant can be plugged into each of these contact points to provide unwavering service that speeds up response times, improving the overall customer service experience, then hand over to agents as required.
One of our customers the Boohoo Group saw 40% of conversations handled by the AI assistants, and for conversations that had to be handed to customers work load halved. 7 figures of annual savings followed. Like us do do this for you? Contact us
To discover the ways AI optimizes customer interactions, read Omnichannel Customer Support: How AI Enhances Chat, Voice, and Social Interactions.
3.Customizable Workflows and Integrations
Businesses face a daunting challenge when integrating new AI solutions with their existing systems. AI assistants that come with set up integrations to CRM systems, ticketing systems, and other internal databases help smoothen workflows.
With custom APIs and automated workflows, businesses are given the opportunity to zero in on specific functionalities that require AI integration tailor made to their needs.
Read about common AI contact center use cases in Automating Customer Support: Real-World Use Cases of AI Assistants in Contact Centers.
4.AI-Powered Self-Service
Providing self-service options optimizes the customers’ ability to address issues without waiting for an agent, thereby providing quick service. An AI assistant can help users with:
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- Answering Frequently Asked Questions
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- Order Tracking
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- Appointment Scheduling
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- Basic Troubleshooting
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- Looking up orders
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- Helping customers return items, and get refunds
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- Insurance quotes
These self-service capabilities alleviate the workload on human agents while still keeping customers satisfied.
Learn the ways in which technology makes responding to customers easier in How AI Assistants Improve Customer Satisfaction and Response Times.
5.Human Support and Live Agent Handoff
While there are many interactions that can be dealt with AI assistants, there are some that require human attention. AI solutions need to incorporate automated handoff processes so that the entire chat history is passed on to the agents, who are then able to assist without the customers repeating themselves.
Learn more regarding the collaboration between AI and human agents in AI vs. Human Agents: How AI-Powered Assistants Complement Customer Support Teams.
6.Analytics and Insights With Real-Time Recording
AI can record data for each interaction with the customer, including but not limited to:
Analysis of sentiment
Frequently arising problems and questions
Performance metrics of the agent
These insights enable businesses to gradually improve their strategies towards customer service, as well as the interactions with the AI.
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Advantages of AI Assistants in Contact Centers
1.Cost savings, quick implementation, and improved flexibility
Classic AI takes up a lot of time and resources to develop. The use of low-code options allows for quick use and less spending, all while retaining adaptability.
For other ideas on spending less money, visit How to Reduce Contact Center Costs with AI-Powered Assistants
2.Enhanced Agent Productivity
AI assistants facilitate human agents by automating repetitive tasks. This allows agents to concentrate on more challenging inquiries, which, in turn, increases productivity and satisfaction.
3. Enhanced Customer Experience
Every customer prefers faster services. AI assistants deliver AI-powered self-service capabilities which help address customer requests in less time.
4.Flexibility and Range
AI technologies can easily be modified and expanded to meet new customer service needs as they arise.
To know about must-have features of AI, read the article 5 Must-Have Features for AI-Powered Contact Center Assistants.
Support for Implementing AI
Those who need extra support from professionals may prefer using Sentiment Flow, which provides:
Design and development of AI assistants System integration Performance optimization
This allows companies to seamlessly adopt AI-powered technologies without allocating critical internal resources to manage the process.
Factors To Think About While Implementing AI In Customer Contact Centers
While AI has its perks, companies should pay attention to:
Alignment of automated contact center conversations with brand voice and policies Moderated levels of human interaction in automated customer service Continuously improving the AI’s responses using available customer insights, feedback, and data analytics.
Do you want to decide between building your own AI or using an already existing one? You can learn more in Building AI Assistants for Contact Centers: DIY vs. Done-for-You Solutions.
Conclusion: The Outlook of AI Technology within Contact Centers
A contact center’s use of AI will likely increase as companies work towards achieving higher levels of efficiency and customer satisfaction. Sentiment Flow offers simple integration of AI within pre-existing systems which helps contact centers open up to the dynamic customer service landscape. With AI, businesses can improve support schemes, lower costs, and smoothen the processes of interacting with customers and agents.
If you need help building your AI assistants from our specialist team, or to learn more about our AI assistant infrastructure built on Open AI please contact us here