In this day and age, customer interactions can either make or break your brand image.
Positive customer interactions drive better results and result in more satisfied employees and customers.
On the contrary, negative and inconsistent interactions can significantly damage your company’s reputation, increase agent turnover rate, and make customers more likely to churn.
Real-time agent assist software has provided contact center teams with an innovative, data-driven AI-powered solution that instantly guides agents during live calls, ensuring the best outcomes for your customers.
In this guide, we’ll delve into the tech behind real-time agent assist solutions and how they can help maximize the efficiency of your contact center.
What is Real-Time Agent Assist?
Real-time agent assist is a software solution that supports contact center agents during live calls. It enhances your agents’ performance, resulting in higher revenues, a higher first-time resolution rate, minimal human error, and a better overall customer experience.
Real-time agent assistance also accelerates the onboarding process and helps managers coach new agents with on-the-job guidance and support.
The Evolution of Customer Service Tools
Before the introduction of more advanced customer service solutions, contact centers primarily supported customers with in-person interactions. Later, as businesses grew and scaled, a gradual shift to phone support took place.
With the widespread adoption of internet-enabled computers and smartphones, many contact centers around the globe implemented email and live chat support.
The introduction of more support channels paved the way for the rise of Customer Relationship Management (CRM) software solutions, which enable businesses to manage live customer interactions more effectively.
In recent years, with the advance of Artificial Intelligence (AI) in contact center technology, real-time agent assist emerged as a game changer. It provides reps with near-instant, real-time assistance based on advanced customer sentiment machine-learning algorithms.
By analyzing data from the customer’s current and past interactions, agent-assist solutions can understand what customers need and expect.
The Importance of Immediate Assistance in Today’s Fast-Paced World
Providing fast customer support is no longer a secondary matter – it’s something that customers expect when they seek help.
According to recent research by PWC, at least 70% of customers believe that fast, friendly, and helpful customer support is key for them to stay loyal to a brand.
When a customer picks up their phone to call your company, they expect a fast and consistent service level. However, in reality, many customers end up waiting in a virtual queue, only to find themselves having to deal with multiple call transfers and agents who are unable to assist them with their problem, resulting in poor customer satisfaction and higher churn rates.
Providing your agents with real-time assistance during live calls enables them to deliver more accurate responses consistently, resulting in improved customer satisfaction.
Pioneering the Real-Time Agent Assist Movement
Real-time agent assistance relies on new technologies like AI and ML predictive models, which were only recently adopted on a wide scale in recent years.
Balto has quickly captured the opportunity and developed solutions to help contact centers provide better support for their customers and enhance agent performance and efficiency.
Balto’s Vision for Customer Support
Balto leverages AI to help agents handle complex queries more efficiently and boost agent productivity. It also enables managers and supervisors to monitor performance and compliance and coach their agents with data-driven performance insights.
With Balto, call centers can make customers more satisfied, boost customer retention and loyalty, and avoid missed sales opportunities and severe compliance mistakes.
AI: The Differentiating Factor
AI has significantly contributed to the evolution of the modern contact center and higher customer satisfaction rates.
It makes agents more productive, supports faster and more accurate decision-making, and handles redundant tasks, freeing up agents to focus on more important tasks that require their full attention.
Combined with advanced machine learning models and Natural Language Processing (NLP), AI solutions can understand customer intent, enabling contact centers to personalize the customer experience, reduce customer churn rates, and proactively meet their changing needs.
On top of that, artificial intelligence provides agents with real-time assistance during calls for faster resolutions, automates note-taking, eliminates routine post-call work, and spots compliance and script deviations.
AI solutions like advanced IVR (Interactive Voice Response) systems and AI chatbots are also capable of encouraging customers to use self-service solutions for recurring queries while routing customers to live agents for complex queries that require the intervention of human agents.
Advanced AI Algorithms and Predictions
Advanced AI algorithms analyze past customer conversations to predict churn, providing your contact center with valuable insights that influence your decision-making and help you improve the customer experience.
On top of that, they seamlessly integrate into your agents’ workflows by continuously working in the background to transcribe calls, take notes, and create call summaries and key highlights.
Since it can be challenging to use the same script for all customer interactions, AI solutions enable real-time scripting and guided conversations by providing agents with data-driven response prompts. This creates a more personalized and consistent customer service experience.
How Real-Time Agent Assist Works
Real-time agent assist analyzes agent conversations with customers and recommends the most appropriate responses in different situations.
By utilizing machine learning and natural language processing capabilities, the solution identifies customer sentiment, scans through the customer’s history with your organization, and predicts customer needs.
Then, the tool provides agents with guidance that helps them personalize the customer experience, focus on the conversation’s flow, and resolve their problems promptly.
What’s more, real-time agent assist alerts agents in case they deviate from the script or ask the customer for sensitive information that makes them go out of compliance.
Integration with Existing Customer Service Systems
Established agent assist software solutions offer a wide range of native integrations with popular customer support tools and platforms. These include CRMs, customer databases, communication platforms, and ticketing and email systems.
For custom integrations, you can access the API (Application Programming Interface) to establish a connection between your AI platform and other services.
Key Benefits of Using Real-Time Agent Assist
The greatest benefits of implementing AI agent assistance in your call center include:
Enhanced Customer Experience
Real-time agent assistance can enhance customer experience by improving agent performance. Guiding agents during calls helps them resolve customer issues quickly and more accurately.
On top of that, conversation intelligence solutions use customer sentiment analysis to capture intent, which helps agents understand the root causes of the problems and assist customers more effectively.
Reduction in Resolution Time
Real-time agent assist helps agents support customers faster and more accurately, resulting in a significant reduction in the average resolution time. This leads to higher customer satisfaction rates.
Boost in Agent Confidence and Efficiency
Real-time agent guidance solutions empower agents by making them more confident in their ability to help customers. They know that the AI will kick in when they need guidance, which can be particularly useful for newer agents.
Further, a real-time agent assist tool helps agents make the most out of their customer conversations, while the tool handles time-consuming tasks like creating support tickets, note-taking, triggering sales opportunities alerts, and summarizing calls for them.
They also make agents more available to receive calls since they’ll barely need to do any post-call work – The software will take care of that for them.
Real-Time Agent Assist in Action
Some practical applications of real-time agent assist are:
Resolving Technical Difficulties
Depending on the complexity of the products or services you offer, your agents may often face technical difficulties when talking with customers.
Real-time agent assistance provides agents with the information they need to tackle and understand technical jargon and common technical issues customers face.
Addressing Billing Concerns in Finance
Billing problems can be a major headache for your support agents. They literally happen every minute, especially in growing financial services organizations.
Real-time agent assist guides agents through complicated billing problems and automates redundant queries with AI chatbots and other self-service portals.
Healthcare Queries and Assistance
AI real-time agent assist enables agents to solve complex healthcare queries with accurate data-driven insights and treatment options, in addition to providing access to key patient information and relevant data from past interactions – all while ensuring that the patient’s sensitive health records are protected and properly handled.
This results in a higher quality of care for patients.
Safety, Security, and Compliance
With real-time agent assistance, reps are much less likely to make a compliance violation.
Protecting Customer Data
Real-time agent assistance can protect customer data by alerting agents when sensitive information is mentioned, either from the agent’s side or the customer’s side, ensuring that critical data remains confidential. This information may include credit card data, social security numbers, or health records.
Additionally, contact centers can feed the tool’s model with their organizations’ data protection guidelines to ensure data security across different communication platforms.
Ensuring Regulatory Compliance
Real-time agent assist solutions can be programmed to redact sensitive data from chat histories and recorded calls, enabling organizations to meet regulatory compliance requirements related to storing and handling customer data.
They also monitor conversations for different compliance standards like HIPAA, PCI DSS, and GDPR. Moreover, agent assist platforms enable agents to authenticate customers without compromising data privacy and security.
Feedback Loop: How Balto Promotes Continuous Improvement
Balto provides agents with instant feedback, prevents mistakes from becoming habits, and encourages positive behaviors in different scenarios.
The platform is trained on decades of habit-forming psychology, ensuring that agents form good habits that allow them to enhance your company’s brand image in the eyes of your customers.
With continuous feedback, agents can gradually improve their performance and behavior, as well as develop their skills.
What Sets Balto’s Real-Time Guidance Platform Apart?
Balto assists your agents in real-time and gives them the confidence they need to provide accurate resolutions.
With real-time agent coaching, managers can support agents instantly with quick alerts for coachable moments, resulting in higher employee engagement and customer satisfaction.
Boost conversions and drive better business outcomes with Balto. Test responses to common objections and easily scale best practices to your entire team. Make your customers happier by reducing wait times and proactively providing agents with the information they need.
Accelerate the onboarding process for new hires with on-the-job training and support. Mitigate compliance risks with real-time alerts and reminders.
Explore how Balto can revolutionize your customer interactions in action with this free demo. Give your reps the edge they need to nail every single customer interaction!
