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Make every conversation count

Empower every agent. Improve every outcome. Increase every conversation’s value, with MaxContact’s AI-powered Customer Engagement platform built for commercial impact.

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Industry Insights
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The UK Contact Centre Regulatory Guide 2025–2027

A practical, regulation-by-regulation guide for compliance and risk managers in UK contact centres. Covers 10 regulatory areas, with action checklists, deadline summaries, and links to every primary source.

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Industry Insights
  • £17.5 million — the new maximum fine for PECR breaches, up from £500,000. A thirty-five-fold increase that changes the risk calculation for every outbound operation.
  • £500,000 personal liability - company directors can now be held individually liable for serious data protection breaches under the Data (Use and Access) Act 2025.
  • 2 August 2026 - the date EU AI Act transparency obligations take effect, including chatbot disclosure and human escalation requirements for any UK contact centre serving EU customers.
  • 4 cross-cutting FCA reviews running through 2026, examining whether firms can prove - with evidence, not policy documents - that customers are getting good outcomes.

This isn’t a future risk. It’s happening now. The guide breaks down each regulation, explains what’s new, and gives you a clear action list.

Industry Insights
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2025/26 UK Contact Centre KPI Benchmarking Insights Report

A comprehensive benchmark of key contact centre metrics and insights, providing the context needed to set realistic, competitive performance targets.

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Industry Insights
  • 41% of contact centres say meeting KPIs is harder than last year
  • 1 in 3 teams report declining customer patience and rising workload
  • Top performing contact centres outperform the UK average by 25–40% across multiple KPIs

If you’re planning targets, resource, or deciding where to invest for 2026, this report gives you the clarity you need.

Industry Insights
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The Voice of the UK Consumer: What Customers Really Want from Contact Centres

This report shares our key findings and practical recommendations, and is designed to help you align technology and empathy to deliver excellence for the modern customer.

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Industry Insights

Integrating artificial intelligence (AI) into customer service is transforming the way contact centres operate. But consumer confidence hasn’t yet caught up. While 45% of consumers are comfortable interacting with chatbots or virtual assistants, 36% remain uncomfortable. This ambivalence and uncertainty highlight both opportunity and risk for how contact centre leaders choose to utilise AI in call centres.

The Generational Divide

Younger audiences are far more comfortable interacting with AI, and are leading the adoption of the technology. 65% of 25–34-year-olds are comfortable with AI, compared to just 27% of over-55s. 

Men (48%) are slightly more comfortable interacting with AI in customer service scenarios compared to women (41%), and interestingly, those who are city dwellers are notably more open to AI than those who live in rural areas.

How Consumers Feel About AI Performance

Although 36% believe AI and automation have improved their contact centre experience, 32% say it has actually had the opposite effect and made things worse. These mixed reviews show that while AI can add speed and convenience, poor implementation of the technology risks damaging customer trust.

“Technology works best when it enhances human capabilities rather than replacing them.” – Ben Booth, CEO, MaxContact

Key Consumer Frustrations with AI

  • 22% say there are too many steps before reaching a human agent.
  • 20% cite AI’s lack of understanding in specific situations.
  • 12% mention limited response options.
  • 12% dislike having to repeat information.

These frustrations point to a single theme: customers value control. When automation creates barriers instead of reducing them, frustration grows.

Key Takeaway

How to build consumer confidence in AI used for customer service:

  1. Employ digital channels and self-serve for routine enquiries and repetitive tasks that free agents for more complex issues and emergencies. For example, basic payments and account enquiries are routine transactions that most consumers will comfortably manage themselves.
  2. Maintain strong human support for complex matters and emergency situations. When consumers want a quick response, they want to talk.
  3. Make sure there’s a clear escalation path from self-serve and digital channels to human agents. Consumers will be more accepting of self-serve if they know they can easily transfer to a human agent if something goes wrong.

When done right, AI improves efficiency and helps human agents excel.

When Only a Human Will Do

Even in an age of automation, human connection is non-negotiable. Our survey revealed that most consumers still want to speak to a real person in moments that matter.

Scenarios Where Customers Prefer Human Agents

  • 70% when explaining specific situations.
  • 67% in emergencies.
  • 65% for complex account queries.
  • 61% when making complaints.
  • 59% when negotiating terms or payments.

Older consumers, who feel less comfortable with AI, show a stronger preference for human contact, but actually, the sentiment is shared across all demographics. Human agents aren’t a nice-to-have, they’re a necessity.

Why Voice Still Leads

Voice calls remain a cornerstone of customer service. 36% of people say calling makes it easier to explain their query or issue, while another 36% simply prefer the reassurance of human conversation. For others, the speed of response and sense of resolution make calls their go-to option.

Despite the range of digital tools available, fewer than 3% of respondents rely solely on digital channels. Poor past experiences (reported by nearly 9% of consumers) reinforce why trust and empathy still matter most.

“The most successful contact centres in 2025 will deploy AI strategically for efficiency while investing in their agents’ soft skills and knowledge.” – Ben Booth, CEO, MaxContact

Key Takeaway

To get the human-digital balance right:

  • Deploy digital and self-serve for routine tasks.
  • Prioritise humans for complex, emotional or high-stakes interactions.
  • Provide clear, visible paths from automation to live support.

Humanity remains the foundation of great customer experience.

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client stories

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Financial Services
AI-powered conversation analytics for Honey Group

We spoke to call centre manager Karl Burke to learn more about how Conversation Analytics by MaxContact has been the right partner for the next level of The Honey Group’s evolution.

Financial Services
Revenue Generation
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Who:

  • Honey Group, an estate planning and legal services company
  • Contact centre with 40+ staff
  • Booking appointments for 90+ active sales consultants

What:

  • Needed to improve call outcomes, agent performance, and compliance monitoring
  • Wanted to review all calls without the need to dramatically increase the size of the Quality Control team
  • Wanted to enhance call success conversion rates and provide better insights for training and development

Outcome:

  • Implemented Conversation Analytics by MaxContact for speech analytics and call transcription
  • Gained valuable insights into agent performance and call topics
  • Improved ability to identify training needs and optimise call centre operations
  • Gained ability to review 100% of conversations automatically

BPO
How ICX Streamlined QA Processes with Conversation Analytics

ICX has transformed its approach to quality monitoring and compliance with MaxContact’s Speech Analytics solution.

BPO
Service & Support
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ICX, a prominent player in the automotive industry, has transformed its approach to quality monitoring and compliance with MaxContact’s Speech Analytics solution. Within months of implementation, the team has achieved significant efficiency gains while improving their ability to monitor compliance at scale. The solution has enabled ICX to move away from fully manual, time-intensive call reviews. Conversation Analytics intelligently identifying calls that are more likely to require attention - allowing quality assessors to prioritise reviews and focus on strategic improvements instead of sifting through every interaction.

Insurance
Protector Insurance: Better Visibility, Stronger Performance

Find out how Protector Insurance used MaxContact to improve reporting, monitoring and service levels — achieving 99% of calls answered within 20 seconds.

Insurance
Insurance
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Protector is a growing insurance organisation operating across three core lines: liability, property, and motor fleet. With more than 200 UK-based employees and continued monthly onboarding, the business is expanding steadily across the UK and Europe, with offices in Manchester, London, Birmingham, the Nordic countries, and Paris.

Its UK phone operations is centred around claims handling teams based primarily in Manchester, where the teams manage large volumes of inbound and outbound calls each day. Team leaders support claim handlers through coaching, performance management, and service level oversight.

As the business grew, Protector needed a customer engagement solution that offered greater flexibility, stronger reporting, and more usable functionality than its previous provider. MaxContact now supports that operation with improved data access, real-time dashboards, and emerging AI adoption that are helping shape the next stage of development.

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FREQUENTLY ASKED QUESTIONS

Frequently asked questions ordered by popularity. Remember that if the visitor has not committed to the call to action, they may still have questions (doubts) that can be answered.

How does the dialler integrate with our CRM?

Out of the box with Salesforce, HubSpot, Zoho, and AutoConvert. Agents see live customer data on every call. Open APIs are better suited to everything else.

Is MaxContact's dialler system cloud-based?

Our dialler is fully cloud-based, works anywhere and scales to any team size.

Is the outbound dialler suitable for regulated sectors like financial services and collections?

Progressive dialling mode, audit trails, and FCA-aligned pacing controls makes MaxContact the right dialler in the UK for regulated outbound campaigns.

How does answer machine detection affect agent productivity?

Agents only pick up when a real person answers. Any call MaxContact can't confidently identify as live gets passed to an agent, so nothing is missed, and no time is wasted on voicemail.

How does the un-droppable algorithm work?

It manages pacing so there's always an agent ready when a live call connects, keeping abandoned call rates at 0%. Unlike diallers still targeting 3%, which Ofcom has confirmed is not compliant.

What's the difference between predictive, progressive, and preview dialling?

Predictive dialling maximises talk time and is best for high-volume campaigns. Progressive dialling gives pacing control and is best for regulated environments. Preview dialling gives agents context before connecting and is best for high-value interactions. Most teams use all three dialling modes across different campaigns.