AI Call Agents - Most Heard Q’s from Executives

Key Considerations for Implementing AI Call Agents

Throughout numerous implementations, from initial concept to full-scale production, we've noticed a recurring set of questions that arise when projects reach the director and executive levels. While some inquiries are expected, others have taken us by surprise.

This article delves into the essential and frequently asked questions we encounter.

Introduction to AI Call Agents

For those unfamiliar with AI call agents and their operations, we recommend starting with our introductory materials available here.

Executive Concerns with AI Call Agents

Leading a department or an entire organization involves considerable responsibility. Beyond achieving fundamental metrics each quarter, executives must also manage risk and enhance internal operations. These priorities can be categorized into three main areas.

Cost Efficiency

The fundamental equation for managers is to increase sales while minimizing expenses. This involves ensuring that products or services reach more customers without escalating costs.

Enhancing Productivity

Can services be improved? Can product quality be elevated? Is customer satisfaction being maximized? These process and product-related priorities focus on doing things better.

One critical factor in boosting sales is the speed at which prospects are contacted. Poor customer service ratings often stem from long hold times and requiring customers to repeat their questions to multiple operators.

AI call agents offer a revolutionary solution to these common issues and inconsistencies in phone operator quality.

Call centers, large-scale outbound calling, and sales teams are notorious pain points for customer satisfaction. Enterprises often face two challenging options: building and managing their own call operator networks or outsourcing to specialized firms.

Neither option has consistently improved call quality or reduced costs, leaving enterprises without alternatives until the event of advanced AI call agent systems.

Risk Management

Risk management is a constant priority that varies significantly by industry. How can initiatives reduce risk for both the company and its customers? In some sectors, this is straightforward, while in others, like finance or healthcare, it presents a greater challenge.

Order Sales AI employs stringent risk controls for every enterprise customer. These include hard-controls or 'guard rails' optimized for specific use cases to mitigate the risk of any inappropriate speech by an AI agent.

Additionally, Order Sales AI's comprehensive logging and real-time monitoring capabilities provide a sophisticated method for managing quality control of phone calls. A well-designed monitoring system seamlessly integrates into an enterprise-level quality assurance procedure.

With these three major categories in mind, we address questions from business and industry leaders.

Evaluating the Reliability of AI Call Agents

When assessing AI call agents, reliability is a key consideration, encompassing two primary factors. The first is technical reliability: How many callers can be managed simultaneously? Are there instances of dropped calls due to hardware issues or busy lines?

Order Sales AI boasts a scalable, redundant infrastructure distributed globally, vetted and verified by leading cloud providers.

The second aspect of reliability pertains to user experience. How effectively do AI agents perform? Can they match or surpass the capabilities of the call center operators they replace? The latest AI call agents are designed to sound and interact like humans, not machines. They can interpret speech, think critically, and respond in real-time to callers.

Regarding service reliability, are these agents equipped to handle a wide range of inquiries, questions, and complaints? The answer is yes. However, the quality of your implementation team plays a crucial role (not all agents are created equal).

Scalability of AI Call Agents

Scalability is a frequent topic in early discussions. How many calls can be supported concurrently? What daily call volume is feasible?

Thanks to Order Sales AI's newly developed global infrastructure, there are minimal limitations on enterprise-scale implementations of AI call agents. No enterprise implementation has yet encountered performance issues at scale.

Resources Required for Enterprise-Level AI Call Agents

Let's discuss internal teams and implementation. The beauty of AI call agents (and the tools developed by Order Sales AI) lies in their ability to scale in complexity to meet specific use case needs. A small business handling reservations and inquiries can develop an AI call agent with a single dedicated technical person. Replacing an entire lead qualification sales team requires a more comprehensive build.

To gain deeper insights into the resources needed, we recommend scheduling a call with an Order Sales AI team member to discuss your use case in detail. Our team has experience with every conceivable use case.

Understanding the Risks of AI Call Agents

It's natural for companies considering AI-powered call center solutions to be cautious about deploying automated agents with real customers and prospects. How can you ensure that your AI agents won't create liabilities or potential legal issues?

These concerns are valid and well-documented within the artificial intelligence community. Fortunately, in the realm of call agents, risk mitigation is not only feasible but is a standard feature in platforms like Order Sales AI.

Developing Your AI Call Agent Implementation Plan

As you might expect, not every possible scenario and question can be addressed in a single blog post. However, we hope this article provides a comprehensive overview of the key components of a simplified but well-thought-out AI agent implementation strategy. Properly designed AI agent systems can reduce costs, enhance reliability (even at scale), and effectively manage risk.

For businesses ready to explore the transformative potential of AI call agents, the next step is to engage with our team to tailor a solution that aligns with your specific needs and objectives.