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Why Outsourced Call Centres Have a Poor Reputation (And How Hybrid Solutions Are Changing the Game)

29 September 2025 by
Why Outsourced Call Centres Have a Poor Reputation (And How Hybrid Solutions Are Changing the Game)
Michael Relf

The global call centre outsourcing market is projected to reach a staggering £496 billion by 2027, yet the industry is plagued by a reputation for poor service, frustrating customer experiences, and a race to the bottom on cost. For many businesses, the dream of efficient, cost-effective customer support through outsourcing has turned into a brand-damaging nightmare. But what if there was a better way? A way to combine the cost savings and scalability of outsourcing with the quality and personal touch of an in-house team?

This is where hybrid call centre solutions are revolutionising the industry. By blending advanced artificial intelligence with skilled human agents, companies like Norango.ai are addressing the fundamental flaws of traditional outsourcing and offering a new model that delivers on both cost and quality.

In this article, we will explore the deep-rooted problems that have given outsourced call centres such a poor reputation and demonstrate how a hybrid approach provides a powerful, modern solution.

The Reputation Crisis: Why Traditional Outsourced Call Centres Fail Customers

The decision to outsource a call centre is almost always driven by a desire to reduce costs. However, this focus on price often comes at the expense of customer satisfaction. Research consistently shows that customers have a lower opinion of outsourced call centres compared to their in-house counterparts. Here are some of the key reasons why:

Communication and Cultural Barriers

One of the most common complaints about outsourced call centres is the difficulty in communication. When calls are routed to offshore locations, language barriers, strong accents, and a lack of cultural context can lead to significant frustration for customers. A study by Scorebuddy highlights that even when agents are fluent, nuances in dialect and a lack of local knowledge can create a sense of disconnect and make customers feel like they are not being truly understood [1].

This is a problem that Norango.ai has tackled head-on. By utilising UK-based live receptionists for complex or sensitive calls, they ensure that customers always have the option to speak with someone who understands the local context and can build genuine rapport.

Quality Control and Inconsistent Service

When a business outsources its call centre, it relinquishes a significant amount of control over its customer service operations. This can lead to a decline in quality and consistency. Outsourced agents often work for multiple clients and may not have the deep product knowledge or understanding of a company's brand ethos that an in-house team would possess. This can result in longer call times, incorrect information being given, and a less personalised customer experience.

The Hidden Costs of Poor Service

While the initial cost savings of outsourcing can be attractive, the long-term financial implications of poor customer service can be devastating. A report by Forbes found that 58% of consumers are willing to spend more money with a company that delivers great service [2]. When customers have a negative experience with an outsourced call centre, it can lead to a loss of loyalty, negative word-of-mouth, and ultimately, a decline in revenue.

The cost of acquiring a new customer is also significantly higher than retaining an existing one, making customer churn a major financial drain for businesses that fail to prioritise service quality.

The Hybrid Revolution: A Smarter Approach to Customer Service

Recognising the inherent flaws in the traditional outsourcing model, a new generation of customer service providers has emerged. These companies are leveraging the power of artificial intelligence to create a hybrid solution that offers the best of both worlds: the cost-efficiency and scalability of AI, combined with the empathy and problem-solving skills of human agents.

Norango.ai is at the forefront of this revolution. Their Hybrid AI Receptionist Service is designed to handle the majority of routine enquiries using advanced conversational AI, freeing up their skilled human agents to focus on more complex or sensitive issues. This approach has several key advantages over traditional outsourcing:

Unprecedented Cost-Efficiency

By automating a significant portion of inbound calls, Norango.ai is able to offer its services at a fraction of the cost of traditional call centres. In fact, a detailed price comparison shows that businesses can save up to 65% on their monthly call handling costs compared to traditional providers like Moneypenny.

This is not simply about replacing humans with machines. It's about using technology to optimise resources and ensure that human agents are deployed where they can add the most value. This intelligent distribution of labour is what drives the significant cost savings of the hybrid model.

Uncompromising Quality and Consistency

Unlike traditional outsourced call centres that are often a black box of variable quality, Norango.ai's hybrid model provides a consistent and professional customer experience. The AI receptionist is programmed with a company's specific information, ensuring that every call is answered with the same level of accuracy and brand consistency. And when a human touch is required, the call is seamlessly transferred to a UK-based agent who is fully trained to handle the enquiry.

This combination of AI and human expertise has a demonstrable impact on service quality. AI-augmented agents have been shown to have a 12% higher first-contact resolution rate compared to their non-augmented counterparts [3].

Scalability and 24/7 Availability

One of the major advantages of outsourcing is the ability to scale operations up or down as needed. However, traditional call centres often struggle to manage fluctuating call volumes, leading to long wait times and abandoned calls during peak periods. The hybrid model solves this problem by using AI to handle an almost infinite number of concurrent calls. This means that every call is answered instantly, 24/7, without the need for additional staffing.

This level of scalability and availability was previously only accessible to large enterprises with deep pockets. Now, thanks to hybrid solutions, businesses of all sizes can offer a world-class customer experience around the clock.

The Future is Hybrid

The poor reputation of outsourced call centres is a direct result of a model that prioritises cost above all else. The industry's focus on a race to the bottom has led to a decline in service quality and a rise in customer frustration. However, the emergence of hybrid solutions is changing the game.

By combining the best of AI and human intelligence, companies like Norango.ai are proving that it is possible to deliver exceptional customer service at an affordable price. Their innovative approach addresses the core problems of traditional outsourcing and offers a glimpse into the future of customer service – a future that is more efficient, more intelligent, and more human.

If you're tired of the broken promises of traditional outsourcing, it's time to explore the power of a hybrid solution. To see how Norango.ai stacks up against the competition, check out this list of the top 5 hybrid reception services for 2025.

References

[1] Scorebuddy. (2024). 14 Big Disadvantages of Call Center Outsourcing. https://www.scorebuddyqa.com/blog/disadvantages-of-call-center-outsourcing

[2] Forbes. (2022). 58% Of Consumers Will Pay More For Better Customer Service. https://www.forbes.com/sites/blakemorgan/2022/03/21/58-of-consumers-will-pay-more-for-better-customer-service/

[3] Callin.io. (2025). Call center outsourcing statistics in 2025
.https://callin.io/call-center-outsourcing-statistics/

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