Is Real-Time Agent Assist Right for Your Contact Center?
Not all AI-powered tools in contact centers are created equal. Many organizations implement Real-Time Agent Assist expecting instant improvements in customer experience, compliance, and agent performance only to realize that real-time guidance alone isn’t enough.
Why does this happen?
Real-Time Agent Assist tools react to live conversations, providing scripted responses, compliance alerts, and workflow nudges.
But reactive assistance isn’t coaching.
- AI can guide, but it cannot develop agents.
- AI can suggest actions, but it cannot build decision-making skills.
- AI can flag compliance risks, but it cannot drive real behavioral change.
Many call centers rely too heavily on AI-Led Agent Assist expecting it to replace human-led coaching and performance management. But while Real-Time Agent Assist plays a role in modern contact centers, true agent development comes from a system that integrates coaching, with QM, performance management, and AI-powered insights.
Effective coaching is key to training and growing your frontline reps. Even with the latest in AI, a contact center’s most valuable asset is its people.
While AI tools like Real-Time Agent Assist can elevate a good coaching program, it shouldn't replace it.
In this article, we’ll look at some of the pros, cons, and use-cases to consider when implementing Real-Time Agent Assist in your contact center, and also discuss how AI-Enabled Coaching makes a perfect compliment alongside or instead of Real-Time Agent Assist, depending on your unique contact center requirements.
Topics we're covering:
- What is Real-Time Agent Assist
- What is Real-Time Assist
- Real-Time Agent Assist Use Cases
- Pros of Real-Time Agent Assist
- Cons of Real-TIme Agent Assist
- Real-Time Agent Assist for Coaching
- Real-Time Agent Assist vs AI-Enabled Coaching
- Real-Time Agent Assist in Your Contact Center
Before diving into the pros and cons, lets cover the broader definition of Real-Time Agent Assist, and Real-Time Assist tools in general.
If you'd like to explore an AI-Enabled approach to boosting agent productivity check out our latest buyer's guide on the top Call Center Performance Management Software of 2025.
What is Real-Time Agent Assist?
Real-Time Agent Assist supports customer service agents in contact centers, offering live, AI-powered guidance to agents during customer interactions, such as on-screen prompts, suggested responses, and relevant information, aiming to improve response quality, decrease handle times, and boost overall customer satisfaction.
What is Real-Time Assist?
Real-Time Assist leverages AI to provide instant, automated support across a spectrum of digital platforms. From online gaming experiences, like poker sites, to intelligent systems that offer split-second data analytics for financial traders, Real-Time Assist is used in environments where immediate, intelligent support can be the difference between success and failure.
Comparison of Real-Time Assist and Real-Time Agent Assist
📌 Real-Time Agent Assist is the more advanced contact center focused option.
Real-Time Agent Assist Use Cases
Real-Time Agent Assist has many great use cases for contact centers.
Below, we explore how RTAA fits into contact centers and where it may fall short.
Real-Time Agent Assist Pros
Real-Time Agent Assist brings several key benefits to the table for contact centers.
When leveraged in combination with other contact center coaching programs, it can significantly increase overall call center productivity, by enabling agents to deliver on-brand customer experiences.
Top Pros of Real-Time Agent Assist
Immediate Support
Onboarding Assistance
Better Compliance
Enhanced Call Handling
Reduces Cognitive Load
Real-Time Agent Assist Cons
Real-Time Agent Assist has some incredible benefits, however, it can be easy to focus on its strengths without also considering the limitations of Real-Time Agent Assist in your contact center.
Top Cons of Real-Time Agent Assist
Limited Scope
Lacking Human Touch
Over-Reliant Agents
Data Privacy Concerns
Integration Challenges
Technical Issues
Real-Time Agent Assist Pros and Cons Compared
Real-Time Agent Assist for Coaching
Many vendors market Real-Time Agent Assist as an "AI Coach" or an 'AI-Enabled Coach', or part of a 'Call Center Coaching Software', but in reality, it’s neither of these.
While Real-Time Agent Assist (RTAA) is useful for conversational intelligence and real-time prompts, it does not develop agents, enhance long-term performance, or replace human-led coaching.
Points to consider:
- Coaching is about skill-building, critical thinking, and long-term agent development. RTAA is about instant responses.
- RTAA is a compliance and efficiency tool not a performance management solution.
- Contact centers that implement RTAA expect it to reduce turnover, boost CSAT, and improve agent productivity but experience the opposite.
The most recent 2024 study by Bachkirova and Kemp reinforced this, stating:
"Our conclusion is that AI ‘coaching’ does not meet these criteria. However, in considering various genres of organizational coaching along simple model-based types, we identify a number of elements in human coaching that could be augmented to various degrees by the use of AI."
📌 AI can enhance coaching, but it cannot replace it.
Real-Time Agent Assist vs AI-Enabled Coaching
Many contact centers implemented Real-Time Agent Assist for the instant prompts and compliance training it can offer agents during live calls, and that is all they needed it for.
However, some contact centers adopted Real-Time Agent Assist purely believing it was that next logical step in agent performance boost expecting it to replace structured agent coaching and agent development while removing the human element from coaching altogether.
The latter group are the ones who have been disappointed in the results they achieve.

Real-Time Agent Assist: is a tool for in-the-moment assistance. It helps with prompting answers, scripting compliance, and providing real-time nudges, but it doesn’t create skilled, autonomous, high-performing agents.
AI-Enabled Coaching: takes a different approach. Instead of reacting to problems, it develops agent skills, decision-making, and long-term performance behaviors through data-driven coaching actions. (and can integrate with Real-Time Agent Assist)
Both AI solutions have their place: But organizations that rely solely on Real-Time Agent Assist as their agent development strategy will be disappointed with the results.
RTAA is like relying on ChatGPT for all your work: it’s helpful in the moment but doesn’t build skills.
AI-Enabled Coaching is like an intelligent mentor: guiding agents with data-backed coaching to improve performance long-term.
Below is a full side by side of Real-Time Agent Assist vs. AI-Enabled Coaching.
Real Time Agent Assist Compared to AI-enabled Coaching
Should You Implement Real-Time Agent Assist in Your Contact Center?
Real-Time Agent Assist has its place in contact centers, it provides instant support, compliance reminders, and conversation prompts during live calls. If all you need is a tool to provide real-time nudges to agents, RTAA may serve that purpose.
However, if you're looking to engage and retain agents, boost call center productivity, improve CSAT, enhance CX, or drive long-term performance improvement, Real-Time Agent Assist will fall short.
Bachkirova and Kemp warned about this misconception:
Our analysis highlights implications for various stakeholders of coaching, which includes coaches themselves, educators, buyers of coaching, professional bodies, AI developers and funding bodies, in particular. We hope they all will be less seduced by the ‘beautiful idea’ of AI Coaching and related promises and not mislead those who are in need of real coaching.
The decision to implement Real-Time Agent Assist should be based on your specific goals:
- Need short-term compliance guidance? RTAA can help.
- Need sustained performance improvement? AI-Enabled Coaching is the better investment.
If you’re evaluating Real-Time Agent Assist vs. AI-Enabled Coaching, we can walk you through a direct, side-by-side comparison based on your contact center’s unique needs.