Thoughts on AI, customer service, and the future of business communication.
As contact centres migrate to the cloud, the real challenge isn't feature comparison—it's integration architecture. Here's why flexible APIs and open platforms determine long-term success.
Discover how AI voice agents are transforming customer service operations, reducing costs by up to 60%, and delivering 24/7 support that customers actually prefer.
AI voice agents have mastered inbound support, but can they handle outbound sales and appointment setting? We examine the current capabilities, limitations, and real-world deployment strategies.
Chatbots answer questions. Autonomous AI agents execute complex multi-step workflows. Discover why businesses are shifting from reactive AI to proactive digital employees.
As we move through early 2026, AI adoption in contact centres has reached an inflection point. Here's what's working, what's overhyped, and where the industry is heading.
Discover how AI voice agents are revolutionising customer service, reducing costs, and improving customer satisfaction in contact centres.
A comprehensive look at where AI voice agent technology stands in early 2026 - from near-human latency to enterprise-scale adoption.
Customer service is experiencing its most significant transformation in decades. Discover which AI channel works best for different scenarios and how to orchestrate them intelligently.
Hostcomm has successfully achieved PCI DSS Level 1 compliance for 2025, marking our fifth consecutive year of maintaining this critical security certification.
How to transition your contact centre from legacy systems to AI automation without disrupting service - a practical guide.
Communication preferences are deeply personal and situational. Customers expect instant responses, seamless experiences across multiple channels, and the flexibility to switch between communication methods without losing context. The solution lies in creating a sophisticated AI/human hybrid customer service environment.
The artificial intelligence landscape has witnessed remarkable advances in recent years, with large language models demonstrating unprecedented capabilities. However, one fundamental limitation has consistently hindered their practical deployment: the inability to effectively handle time-dependent tasks.
Technological advancements are transforming customer service, challenging traditional models of support. This article explores the fundamental differences between autonomous AI contact centres powered by generative AI and traditional omni-channel cloud contact centres.
In recent years, the field of natural language processing has witnessed significant advancements with large language models. As the landscape continues to evolve, understanding the differences between open-source models and proprietary services is crucial for businesses.
Remote visual assistance provides enhanced communication through AR tools, a hands-on visual approach for problem-solving, and significant benefits for education, training, and customer support that traditional video meeting apps simply cannot match.
In 2020, the UK facilities management market was valued at USD 63.97 billion, and it is expected to reach USD 73 billion by 2026. As the sector recovers from COVID-19, remote visual assistance technology offers innovative solutions to meet new challenges and drive operational efficiency.