TL;DRÂ
- Real-Time Agent Assist helps agents resolve issues 25% faster with real-time AI suggestions.
- It boosts ACPT by providing agents with instant data and guidance, cutting down handling times.
- Real-Time Agent Assist improves first-contact resolution and overall efficiency.
- With AI-driven support, agents can work smarter, not harder, delivering better service faster.
- Real-Time Agent Assist makes your contact center more efficient and customer-friendly.
Contact centers are under constant pressure to handle high volumes of calls, resolve issues quickly, and maintain a high level of customer satisfaction.Â
However, many call centers still struggle with common pain points that can significantly hinder performance: long average call processing times (ACPT), inconsistent agent performance, and delayed issue resolution.Â
These challenges not only affect productivity but also negatively impact customer experience and retention.
Without real-time guidance and support, agents are left to rely on fragmented information and inefficient workflows, leading to increased average handle times (AHT) and frustrated customers.
Call centers face significant challenges in improving Average Handle Time (AHT) and first-contact resolution (FCR). Industry standards show an average AHT of 6 minutes, but many call centers struggle to meet these targets consistently.Â
For example, telecom companies report AHTs around 2.56 minutes, yet still face delays in resolving issues efficiently.
Moreover, the Average Speed of Answer (ASA) remains a key challenge, with many centers failing to answer 80% of calls within 20 seconds, often leading to customer frustration.Â
Real-Time Agent Assist, a solution by Convin, streamlines ACPT and AI-driven support, enhancing issue resolution and customer satisfaction. It offers instant suggestions, live feedback, and automated coaching, reducing AHT and improving ACPT.
In the following sections, we’ll explore how Convin’s unique features can directly tackle these pain points, transforming your contact center operations and delivering measurable results for your team and your customers.
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What is Real-Time Agent Assist, and How Does It Work?
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Real-Time Agent Assist is an AI-powered solution designed to support customer service agents during live interactions with customers.Â
It provides real-time guidance, assisting agents with immediate feedback and intelligent suggestions that help them resolve issues more efficiently.Â
This tool analyzes customer conversations in real time, offering instant access to relevant information, customer history, and suggested responses, empowering agents to handle queries faster, with greater accuracy, and at a higher service quality.Â
By equipping agents with AI-powered assistance, organizations can dramatically improve their customer experience, reduce Average Handle Time (AHT), and enhance first-contact resolution (FCR) rates, leading to higher customer satisfaction and agent productivity.
Real-time guidance is crucial, especially as customer interactions become more complex and fast-paced. New agents and even experienced agents can benefit from in-the-moment guidance that ensures they don’t miss critical information or steps in addressing a customer's needs.Â
By helping human agents navigate these conversations seamlessly, Real-Time Agent Assist offers a path to more consistent and reliable service, ultimately increasing overall efficiency in the contact center.
Essential Features of Real-Time Agent Assist
Real-Time Agent Assist is equipped with a range of AI-powered assist tools that are designed to enhance agent performance and streamline customer interactions. Key features include:
- Innovative Suggestions: The AI provides suggested responses and actions based on customer input, helping agents quickly resolve issues without having to search through multiple systems. These suggestions come from a robust database, ensuring that the response is always relevant and accurate.
- Live Feedback: Real-time feedback ensures that agents receive immediate insights into their performance. This includes call analysis to evaluate how well agents are handling the conversation, guiding them to improve, and ensuring they remain on track throughout the interaction.
- Tools that Guide Agents: These tools include everything from real-time guidance on what steps to take next in a conversation to context-sensitive prompts that help agents with complex customer inquiries.Â
The importance of Real-Time Agent Assist lies in its ability to reduce operational costs while boosting both customer and agent satisfaction.Â
With AI-powered agent assist, companies can optimize their contact center's agent productivity by equipping them with powerful tools that enable faster and more effective problem resolution.Â
The result is a more agile contact center that can handle an increasing volume of live calls with fewer resources, thus reducing operational costs and enhancing the customer experience.
For customer service agents, especially new agents, the AI provides a smooth onboarding experience by reducing agent onboarding time and enabling them to adapt to their roles quickly.Â
By reducing the dependency on senior staff for answering complex queries, these tools help agents deliver better service even when they’re still learning the ropes.
Through real-time assist tools, contact centers can enhance ACPT call analysis, leading to faster identification of problem areas and more proactive interventions to prevent delays.Â
This also plays a significant role in improving first-contact resolution (FCR), as agents have the support they need to handle inquiries successfully on the first interaction, leading to greater customer satisfaction.
By implementing Real-Time Agent Assist, contact centers can empower agents, improve agent efficiency, and enhance service quality, all while ensuring that customer inquiries are resolved quickly and accurately.Â
Get real-time guidance for faster issue resolution with Convin.
Why ACPT (Average Call Processing Time) is Crucial
ACPT (Average Call Processing Time) refers to the average amount of time it takes for an agent to handle a customer call from start to finish.Â
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This includes the time spent on the actual conversation with the customer, along with any post-call work such as documentation, follow-ups, or data entry. ACPT is a vital metric because it directly impacts the overall efficiency of the contact center.
- Faster Issue Resolution: When ACPT is reduced, agents can handle more calls per hour, improving agent efficiency and ensuring customers get quick resolutions.
- Improved Customer Experience: Quicker responses mean customers spend less time waiting for solutions, boosting their satisfaction and loyalty.
- Cost Efficiency: Reducing ACPT also helps reduce operational costs. Faster service leads to fewer resources needed per call, optimizing the entire operation.
For example, a healthcare call center reduced ACPT by implementing AI-powered agent assist tools. By offering real-time guidance to agents, they were able to resolve issues 25% faster, improving first-contact resolution (FCR) and dramatically enhancing customer satisfaction, leading to better customer retention, more positive interactions, and a stronger brand reputation.
Challenges of Traditional ACPT Analysis
Traditional methods of ACPT analysis often fail to provide the insights needed to optimize performance in real time. Here’s why:
- Manual Processes: Relying on manual reviews of call data after the fact means insights come too late to make timely adjustments.
- Delayed Decision-Making: Managers have to sift through post-call reports, which delays the ability to spot bottlenecks or inefficiencies.
- Lack of Real-Time Feedback: Without AI-driven tools, agents don’t receive the instant feedback they need to adjust their approach during live calls, leading to longer AHT (Average Handle Time).
For example, in traditional environments, agents often struggle with finding the correct information quickly, leading to longer call times and increased frustration.Â
Manual ACPT analysis offers limited benefits in improving agent performance in real-time, leading to missed opportunities to reduce delays or enhance service quality.
Convin’s Real-Time Agent Assist eliminates these issues by providing real-time insights into ACPT call analysis, allowing agents to adjust instantly during calls.Â
Managers can monitor and guide agents continuously, leading to a more productive workforce, reduced AHT, and better service quality overall.
In conclusion, traditional ACPT analysis is often slow, reactive, and limited. By adopting AI-powered tools, you can transform how your contact center operates, leading to faster issue resolution, better agent performance, and enhanced customer satisfaction.
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This blog is just the start.
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How Can a Real-Time Agent Assist in Achieving 25% Faster Issue Resolution?
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Real-Time Agent Assist significantly enhances issue resolution speed by equipping agents with the tools they need to address customer concerns quickly and accurately.Â
Achieving a 25% faster resolution means that agents can handle more customer interactions in less time, providing quicker solutions without compromising quality.
This rapid resolution is possible because of the continuous flow of real-time insights. The moment agents engage with customers, they are presented with contextual suggestions, personalized recommendations, and next-step guidance, all powered by AI.Â
This eliminates the delays caused by manual research or inconsistent decision-making processes, allowing for quicker, more informed actions.
For example, British Airways reduced issue resolution time by integrating AIÂ into its contact center. With real-time customer data and dynamic suggestions, agents were able to navigate through complex inquiries swiftly, improving efficiency and reducing AHT (Average Handle Time).
- Streamlined Workflow: With all necessary data available instantly, agents avoid switching between systems or waiting for information, making the call flow smoother and faster.
- Enhanced Decision-Making: The ability to suggest the most effective solutions in real time means agents can make decisions quickly, accelerating issue resolution.
- Customer Satisfaction Boost: Faster resolutions equate to happier customers, who are more likely to feel satisfied with the speed and quality of the service.
The result is an optimized contact center that not only meets but exceeds customer expectations by resolving issues quicker, leading to greater customer loyalty and improved retention.
The Role of AI Suggestions in Speeding Up Problem-Solving
AI suggestions are integral to reducing ACPT (Average Call Processing Time) and driving 25% faster issue resolution. These contextual, AI-powered recommendations guide agents through every step of the interaction, helping them make quicker, more accurate decisions without the need for extensive manual intervention.
- Personalized Assistance: AI analyzes past interactions, current issues, and customer preferences to provide tailored solutions. This allows agents to resolve the problems without having to sift through multiple resources, accelerating problem-solving.
- Dynamic Response Generation: As agents communicate with customers, AI provides live prompts that suggest the best responses based on real-time sentiment analysis and conversation context. This helps agents stay on track and minimizes delays.
- Proactive Problem Identification: AI can anticipate potential issues before they arise by analyzing the customer's tone, urgency, or specific queries. For example, if a customer seems frustrated or confused, the system can automatically suggest calming responses or offer quick resolutions to prevent escalation.
IBM’s Watson has been integrated into various customer service environments to reduce issue resolution time. By offering real-time suggestions during live calls, Watson helps agents identify the most efficient solutions to complex issues, contributing to faster ACPT and reducing AHT.Â
With AI continuously analyzing customer inputs, agents are empowered to solve problems swiftly and efficiently, directly translating to a 25% improvement in resolution time.
- Real-Time Adjustments: As conversations evolve, AI can also suggest adjustments in approach, enabling agents to steer the interaction towards a faster, more effective outcome.
- Efficiency Gains Across Teams: AI suggestions ensure that even new or less experienced agents can perform at the level of their more seasoned counterparts, minimizing the learning curve and enhancing overall agent efficiency.
By offering AI-driven solutions that guide agents during live interactions, Real-Time Agent Assist enables faster issue resolution.Â
With dynamic suggestions, contextual prompts, and in-the-moment feedback, agents can resolve issues quickly, improving ACPT, AHT, and most importantly, customer satisfaction.Â
This leads to not only faster problem-solving but also a more efficient, scalable contact center that can handle a higher volume of inquiries without compromising service quality.
How Real-Time Agent Assist Makes ACPT Analysis More Effective
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Real-Time Agent Assist fundamentally changes how ACPT (Average Call Processing Time) is analyzed and optimized in contact centers.Â
Traditional methods rely heavily on manual processes and after-the-fact reviews, which fail to provide agents with the instant feedback they need to improve in real time.Â
In contrast, Real-Time Agent Assist provides agents with immediate, actionable insights during live customer interactions, enabling them to resolve issues more efficiently and reduce AHT.
With AI-powered agent assist tools, agents receive real-time data that helps them make faster decisions and take immediate action. This approach not only decreases ACPT but also increases agent productivity, allowing contact centers to handle more calls and provide a better customer experience.
Immediate Insights for Better Decision-Making
- Instant Access to Data: Real-time guidance provides agents with quick access to relevant customer information, including previous interactions, customer history, and suggested responses.
- Faster Decisions: Agents no longer need to waste time searching for information or consulting supervisors. They receive real-time data that helps them make informed decisions on the spot.
- Enhanced Customer Experience: With the correct information at their fingertips, agents can resolve customer issues faster, leading to higher first-contact resolution (FCR) rates and increased customer satisfaction.
At Vodafone, agents use Real-Time Agent Assist to receive instant insights about customer accounts, data usage, and billing history. This enables them to resolve customer concerns on the first call, improving their FCR and significantly reducing AHT.Â
By reducing the time spent searching for customer information, agents can focus on solving the issue efficiently, ultimately leading to higher customer satisfaction.
For example, a telecom support agent dealing with a billing issue can instantly access the customer’s billing history and recommended next steps, reducing time spent on hold and improving service quality.
Real-Time Adjustments to Resolve Issues Faster
- Dynamic Prompts: Real-Time Agent Assist offers context-sensitive prompts during calls, suggesting the best responses and actions for agents based on the customer’s needs and sentiment.
- Instant Feedback: As agents interact with customers, they receive in-the-moment coaching and feedback, enabling them to make adjustments immediately to improve the conversation.
- AI-Powered Adjustments: The AI helps agents shift course when necessary, providing a step-by-step guide to resolving the issue or suggesting a different approach to handle a particularly complex query.
For instance, if an agent encounters a more complicated issue, Real-Time Agent Assist can offer detailed instructions or escalate the problem to a supervisor if needed, minimizing delays and improving ACPT.
By providing instant insights and real-time adjustments, Real-Time Agent Assist empowers agents to handle customer interactions with greater speed and accuracy.Â
This eliminates the bottlenecks often found in traditional ACPT analysis methods, which rely on slow, manual review. With AI-powered support and in-the-moment feedback, agents can reduce AHT, improve first-contact resolution (FCR), and deliver a superior customer experience.Â
This leads to improved agent performance and better customer satisfaction, making your contact center more efficient and cost-effective overall.
Salesforce implemented Real-Time Agent Assist to enhance its ACPT analysis. By providing real-time data and in-the-moment guidance, the platform has helped agents reduce handling times while improving service delivery, ultimately leading to higher agent productivity and an enhanced customer experience.Â
This AI-driven approach has allowed Salesforce to keep up with customer demand, enabling faster responses without sacrificing the quality of customer service.
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Why Real-Time Agent Assist Is a Must-Have for Your Contact Center
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Why is Real-Time Agent Assist essential for boosting agent productivity and efficiency?Â
How does providing real-time assistance during customer interactions help agents handle calls more effectively?Â
The answer lies in the seamless integration of AI-powered support, which delivers instant insights and contextual guidance.Â
When agents are equipped with real-time assistance, they are better prepared to respond quickly, accurately, and confidently, leading to faster resolutions and less time spent on each call.
For instance, Convin’s Real-Time Agent Assist enables agents to access customer history, previous interactions, and suggested responses instantly, eliminating the need to search through multiple systems or wait for manual input.Â
This instant access to information helps agents avoid delays, reduce Average Handle Time (AHT), and resolve issues on the first contact, significantly improving first-contact resolution (FCR) rates.
- How does providing real-time data during live calls help agents resolve issues faster?
- Can agents reduce AHT and ACPT with the help of AI-driven insights?
By streamlining workflows, reducing the need for constant supervisor intervention, and guiding agents through complex issues, Real-Time Agent Assist enables agents to work smarter, not harder, which improves both agent productivity and customer experience.
How Does Real-Time Agent Assist Create Consistent, High-Quality Performance Across Teams?
How does AI-driven support ensure that all agents perform at their best?Â
What role does Real-Time Agent Assist play in creating consistent, high-quality performance across a contact center team?Â
The best thing about AI-powered guidance is that it helps standardize performance so that all agents, regardless of experience level, can provide the same high caliber of service.
Real-Time Agent Assist provides live prompts, suggested responses, and immediate feedback, ensuring agents stay on track, even when facing complex issues or handling unfamiliar tasks.Â
This consistent support reduces the variability in agent performance, ensuring that every customer receives the same quality of service, regardless of which agent they speak with.
- How can AI suggestions help reduce the performance gap between new agents and experienced agents?
- In what ways does real-time coaching enable consistent service quality?
By automating coaching, providing real-time guidance, and offering immediate support, Real-Time Agent Assist ensures that all agents maintain high performance, delivering consistent, top-tier service every time.Â
A more effective, productive contact center and increased customer retention result from this, as it also raises agent satisfaction and improves the overall customer experience.
Catalyze Faster Issue Resolution with Convin’s Real-Time Assistance
As customer expectations continue to evolve, so too must the tools that contact centers use to meet them. Real-Time Agent Assist is at the forefront of this transformation, leveraging AI to reshape how customer service teams interact with customers and streamline operations.Â
In addition to making agents' jobs easier, AI-powered solutions like Real-Time Agent Assist are radically altering the way customer service is provided.
With AI assistance, agents are empowered to make smarter, faster decisions based on real-time data and contextual insights. These technologies enable contact centers to move beyond traditional models, shifting from reactive service to proactive, personalized support that anticipates and resolves issues before they escalate.Â
The AI-powered real-time guidance provided by Real-Time Agent Assist is setting the stage for an entirely new era in customer service. As this technology becomes more sophisticated and integrated into everyday workflows, the possibilities for improved customer experiences, agent productivity, and operational efficiency are limitless.
With this exciting evolution on the horizon, the impact of Real-Time Agent Assist will only continue to grow, making it an essential part of any forward-thinking contact center.
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Frequently Asked Questions
How does Real-Time Agent Assist improve agent training?
Real-Time Agent Assist reduces agent onboarding time by providing in-the-moment guidance and AI-driven feedback, helping new agents get up to speed quickly.
Can Real-Time Agent Assist be integrated with existing systems?
Real-Time Agent Assist integrates seamlessly with your current CRM and call center software to provide AI-powered assistance without disrupting existing workflows.
How does Real-Time Agent Assist impact customer satisfaction?
By enabling faster issue resolution and improving first-contact resolution (FCR), Real-Time Agent Assist directly boosts customer satisfaction and loyalty.
Does Real-Time Agent Assist work across multiple channels?
Real-Time Agent Assist supports various communication channels, including phone, chat, and email, ensuring consistent performance and fast resolutions across platforms.
How does Real-Time Agent Assist reduce operational costs?
By improving ACPT, speeding up issue resolution, and enhancing agent efficiency, Real-Time Agent Assist helps reduce operational costs while maintaining high service quality.