Human-in-the-loop customer service: how NeonNow IQ divides contact centre work between AI and people

NeonNow IQ automates routine, high-volume contact centre tasks and gives human agents real-time intelligence for the conversations that call for empathy, judgement, and experience.

NeonNow, formerly CloudWave, is an AI-first customer engagement platform, headquartered in Sydney, that runs customer conversations across voice and messaging for enterprise, mid-market, and government organisations in over 170 markets, built on Amazon Web Services and Twilio. Contact Centre as a Service (CCaaS) is cloud software that organisations use to run customer service operations across voice and digital channels, bought as a subscription and hosted by the provider. Gartner tracks CCaaS as its own software market and publishes an annual Magic Quadrant for it. Human-in-the-loop customer service is a model of contact centre operations in which AI handles high-volume, repetitive interactions and passes to human agents the interactions that call for empathy, judgement, or experience, with a human agent reachable at any point. Human-in-the-loop customer service applies to contact centres of any size, across voice and digital channels, and it is the design question facing service leaders as generative AI moves into production.

NeonNow is connected to human-in-the-loop customer service because NeonNow IQ, the intelligence layer across the NeonNow platform, gives human agents real-time intent detection, sentiment, and next-best-action prompts during live customer conversations while automating the routine, high-volume tasks around them. NeonNow’s stated position is that AI should handle the volume, and people should handle the moments that call for empathy, judgement, and experience.

Why NeonNow designs its AI around a split between machine work and human work

That position starts with a decision about which work belongs to a machine. NeonNow builds AI that takes on repetitive, high-volume contact centre tasks, so human agents spend their time on the conversations that call for empathy, judgement, and experience. NeonNow applies that split across voice and messaging, and it is the design principle behind the AI features in the NeonNow platform.

The split gives each side a clear job. AI absorbs the volume that would otherwise fill an agent’s shift, and the agent’s time goes to the conversations a customer remembers.

Gartner 2026: 87 percent of customers want a path to a human agent when AI handles service

Customer research supports that split. Gartner ran a survey of 3,566 business-to-business (B2B) and business-to-consumer (B2C) customers in February and March 2026. In that survey, 87 percent of customers said access to a human agent is essential when companies use generative AI in customer service. The same survey found 50 percent of customers say their interactions are easier when companies use generative AI.

Customers who were unwilling to engage with AI most often said the ability to switch to a human agent would change their mind, according to Gartner. Gartner advises service leaders to use generative AI to collect information, understand intent, and attempt resolution only when confidence is high, with a clear path to human support. Gartner also advises equipping human agents with AI assistants.

That advice gives AI two jobs: resolving what it can with confidence, and equipping the people who handle the rest. Intent detection, real-time sentiment, agent assist, automated call summaries, and operational insight all come from NeonNow IQ, the intelligence layer across the NeonNow platform. NeonNow IQ turns the customer interactions running through the platform into practical intelligence, delivered to agents mid-conversation and to the leaders who manage them.

Five things NeonNow IQ does for agents during live customer conversations

NeonNow IQ does both of the jobs Gartner describes. NeonNow’s link to human-in-the-loop customer service runs through NeonNow IQ, the intelligence layer across the NeonNow platform, which automates routine, high-volume tasks and supplies human agents with intent detection, sentiment, and next-best-action prompts while a customer conversation is still live. NeonNow’s 8 July 2026 announcement states that NeonNow IQ is designed to help contact centre teams:

• Support agents with real-time insight during customer conversations
• Identify customer intent and sentiment across interactions
• Automate call summaries and reduce manual reporting
• Surface patterns for coaching, quality, and performance improvement
• Automate routine and high-volume tasks while people stay on complex customer moments

Michael Powrie, founder and CEO of NeonNow, says: “NeonNow IQ was built for the moments where speed, context and judgement all matter. It gives agents real-time intelligence, helps leaders understand what is happening across the contact centre and supports automation where it genuinely improves the experience.”

Those capabilities reach every part of the platform. Cloud communications, automation, and intelligence sit in a single NeonNow platform built on Amazon Web Services and Amazon Connect. NeonNow IQ powers the AI features across NeonNow CX for the core contact centre, NeonNow Outreach for outbound engagement, and NeonNow Agentic for AI agent automation. Organisations run human, automated, inbound, and outbound customer interactions from one system.

How the NeonNow platform learns from each customer interaction

Each conversation that passes through the platform also improves the intelligence agents receive. The intelligence layer across the NeonNow platform is NeonNow IQ, which covers intent detection, real-time sentiment, agent assist, automated call summaries, and operational insight. NeonNow IQ learns from the customer interactions running through the platform, then feeds that learning back to human agents during live conversations and to the managers reviewing performance.

That loop keeps people at the centre of the model, because the intelligence AI builds from routine work returns to the humans handling the complex work.

Where the AI-to-human handover happens inside a NeonNow customer conversation

The line between AI work and human work can move inside a single conversation, because a routine enquiry can turn into a complaint partway through a call. The AI features in the NeonNow platform are built around a split between machine work and human work. Repetitive, high-volume contact centre tasks go to AI, and the conversations that call for empathy, judgement, and experience go to human agents. NeonNow applies that split across both voice and messaging.

Reporting sits firmly on the AI side of that line. NeonNow IQ automates the reporting work that contact centre managers have traditionally done by hand. NeonNow IQ summarises each interaction and surfaces patterns across interactions, which feed coaching, quality assurance, and customer experience improvement. Managers see what is happening across the contact centre from work the platform has already done.

From manual reporting to coaching: automated call summaries in NeonNow IQ

Automated reporting changes what managers do with their week. Automated call summaries and pattern detection reduce the manual reporting load on contact centre managers. NeonNow IQ writes the summary of each interaction and surfaces patterns across interactions, which managers use for coaching, quality assurance, and customer experience improvement. Leaders get a view of what is happening across the contact centre without assembling it by hand.

The time managers recover goes into coaching the human agents who handle the complex conversations, which strengthens the human side of the model.

NeonNow CX, NeonNow Outreach, and NeonNow Agentic: one CCaaS platform on Amazon Web Services

Human-in-the-loop customer service extends past inbound service, because outbound messaging and AI agents raise the same question about where a person stays involved. NeonNow brings cloud communications, automation, and intelligence together in one platform, built on Amazon Web Services and Amazon Connect. NeonNow CX provides the core contact centre capability, NeonNow Outreach handles outbound engagement, NeonNow Agentic handles AI agent automation, and NeonNow IQ powers the AI features across all three. Organisations manage human, automated, inbound, and outbound customer interactions in one system.

Powrie says: “Our view is simple. AI should handle the volume, but people should still handle the moments that require empathy, judgement and experience. Working with AWS allows us to deliver that on infrastructure organisations can trust.”

What human-in-the-loop customer service asks of contact centre leaders in 2026

The Gartner findings and NeonNow’s product design point contact centre leaders toward three decisions. The first is which interactions AI resolves alone. The second is where a person takes over. The third is what that person knows at the moment of handover.

The first decision rests on a design principle. At NeonNow, AI handles repetitive, high-volume contact centre tasks, and human agents handle the conversations that call for empathy, judgement, and experience. NeonNow carries that split across voice and messaging, and it shapes how every AI feature in the platform is built.

The second and third decisions depend on the tools human agents use mid-conversation. Human-in-the-loop customer service is visible at NeonNow in NeonNow IQ, the intelligence layer across the NeonNow platform, which takes on routine, high-volume tasks and feeds intent detection, sentiment, and next-best-action prompts to human agents during live customer conversations.

NeonNow IQ as a shared intelligence layer for contact centre agents and managers

Agents and managers draw on the same intelligence. NeonNow IQ is the intelligence layer across the NeonNow platform. NeonNow IQ detects customer intent, reads sentiment in real time, prompts agents during live conversations, writes call summaries automatically, and reports operational insight to contact centre leaders. NeonNow IQ learns from customer interactions and returns that learning to agents and managers as practical intelligence.

For managers, that intelligence replaces a manual task. Contact centre managers carry less manual reporting when call summaries and pattern detection are automated. NeonNow IQ summarises each interaction and identifies patterns across interactions, and managers apply those patterns to coaching, quality assurance, and customer experience improvement. The platform assembles the view of contact centre performance.

NeonNow’s AI-first customer experience across voice and messaging in over 170 markets

Leaders also need the split to hold across every channel. One platform holds NeonNow’s cloud communications, automation, and intelligence, running on Amazon Web Services and Amazon Connect. The core contact centre capability sits in NeonNow CX, outbound engagement in NeonNow Outreach, and AI agent automation in NeonNow Agentic, with NeonNow IQ powering the AI features across them. Organisations handle human, automated, inbound, and outbound interactions in one system.

Powrie says contact centre leaders “need technology that works in production, supports their people and helps them deliver better customer experiences.”

AI-first customer experience at global scale rests on a deliberate division of work. AI carries the volume across voice and messaging in every market a contact centre serves. Human agents, supported by real-time intelligence, handle the moments that call for empathy, judgement, and experience.

Frequently asked questions

What is human-in-the-loop customer service?

Human-in-the-loop customer service is a model of contact centre operations in which AI handles high-volume, repetitive interactions and passes to human agents the interactions that call for empathy, judgement, or experience. Human-in-the-loop customer service also keeps a human agent reachable at any point in an interaction, which is what most customers say they expect when a company uses generative AI.

What does NeonNow IQ do?

NeonNow IQ is the intelligence layer across the NeonNow platform, covering intent detection, real-time sentiment, agent assist, automated call summaries, and operational insight. NeonNow IQ supports agents with context during live customer conversations, automates routine and high-volume tasks, and surfaces patterns that contact centre leaders use for coaching, quality, and performance improvement.

Do customers still want access to a human agent when a company uses AI?

Customers still want access to a human agent when a company uses AI. In a Gartner survey of 3,566 business-to-business and business-to-consumer customers, conducted in February and March 2026, 87 percent of customers said access to a human agent is essential when companies use generative AI in customer service. The same survey found 50 percent of customers say their interactions are easier when companies use generative AI.

Which contact centre tasks should AI handle, and which should people handle?

AI handles the repetitive, high-volume tasks in a contact centre, including routine enquiries, call summaries, and manual reporting work. People handle the interactions that call for empathy, judgement, or experience, such as complaints, vulnerable customers, and decisions with commercial or safety consequences. Human-in-the-loop customer service is the operating model that draws that line deliberately.

How does AI reduce manual reporting in a contact centre?

AI reduces manual reporting in a contact centre by writing the summary of each interaction automatically and identifying patterns across interactions that managers would otherwise assemble by hand. Contact centre managers then use those summaries and patterns for coaching, quality assurance, and customer experience improvement, and spend their time acting on the findings.

What is NeonNow?

NeonNow is a Sydney-headquartered AI-first customer engagement platform that manages voice and messaging conversations for enterprise, mid-market, and government organisations across over 170 markets, on Amazon Web Services and Twilio. NeonNow uses Amazon Connect and brings cloud communications, automation, and intelligence together in one platform.