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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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Sales
We Finance Any Car: Smarter Dialler, Better Sales

We Finance Any Car, an online car finance brokerage, needed a reliable contact centre solution that could scale with their rapid growth. They also needed support and accountability that their previous provider had failed to deliver.

Sales
Sales
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We Finance Any Car, an online car finance brokerage, needed a reliable contact centre solution that could scale with their rapid growth. They also needed support and accountability that their previous provider had failed to deliver. We Finance Any Car partnered with MaxContact to implement a robust dialler system that would maximise sales agents’ outputs and improve lead contact rates. The success of this partnership demonstrates that the right contact centre technology, backed by genuine support and expertise, can transform growing businesses that need to scale confidently. Most importantly, We Finance Any Car gained the reliability they needed to focus on what they do best—helping customers secure vehicle finance.

We Finance Any Car is an online car and van finance brokerage that launched in January 2021. Since inception, the company has experienced remarkable growth, expanding from a three-person startup to a team of approximately 25 agents across multiple offices.

The business model is straightforward yet effective: customers seeking vehicle finance through channels like Google, Facebook and TikTok submit applications, which We Finance Any Car either qualifies immediately or uses to help customers find suitable vehicles through dealer partnerships.

Financial Services
Honey Group - Foundation for future growth

Estate planning and wealth management experts, Honey Group, were frustrated as their previous system couldn’t keep up with increased data volumes resulting in CRM integration issues and an overall lack of efficiency that impacted productivity. MaxContact’s solution has provided them with the scalability and agility they need to succeed now, and in the future.

Financial Services
Revenue Generation
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Estate planning and wealth management experts, Honey Group, were frustrated as their previous system couldn’t keep up with increased data volumes resulting in CRM integration issues and an overall lack of efficiency that impacted productivity. MaxContact’s solution has provided them with the scalability and agility they need to succeed now, and in the future.

Honey Group replaced a fragmented contact centre setup with a single, integrated MaxContact platform to support rapid growth and deliver sharper commercial performance.

The new solution eliminated CRM friction, improved data flow and introduced omnichannel capabilities that connect every customer touchpoint.

It also brough conversation analytics driven quality assurance into daily use, giving managers visibility of every call, every conversation and every opportunity to improve.

The result: clearer operational oversight, more efficient coaching and measurable improvements in conversion and process efficiency.

BPO
Marston Holdings: Omnichannel BPO Innovation

As a leading Business Process Outsourcing (BPO) provider, Marston Holdings transformed their service delivery by implementing MaxContact’s versatile contact centre solution.

BPO
Payments & Collections
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As a leading Business Process Outsourcing (BPO) provider, Marston Holdings transformed their service delivery by implementing MaxContact’s versatile contact centre solution, enabling them to efficiently manage diverse communication channels for their clients, reduce customer wait times, and support their UK-wide operations while handling approximately 900,000 annual contacts.

Marston Holdings provides end-to-end transportation services across the UK, including consultancy, traffic technology, parking management, enforcement, and debt recovery for 280 local authorities and government departments.

This case study focuses on Marston’s Business Process Outsourcing (BPO) division, which operates contact centres supporting Local Authority Parking and Highways Departments, handling approximately 900,000 inbound contacts annually.

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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 Agent Wrap-Up Summary work?

Agent Wrap-Up Summary generates structured, CRM-ready notes automatically at the point of wrap, using the transcript and interaction data from the call your agent just handled. Agents review, edit,and save - without manual note-taking. Notes remain in Contact Hub as part of the interaction record, even if Conversation Analytics is later disabled .Available June 2026.

What is AI Call Scoring and when is it available?

AI Call Scoring applies your existing QA scorecards to individual interactions using transcript evidence - cutting manual review time from 30 minutes to approximately five, with consistent and defensible scoring. It uses the same structured scorecards you’ve already configured in Conversation Analytics, not a proprietary AI score. AI Call Scoring is available from May 2026.

Remove Channel Boundaries and Treat Every Interaction as One Journey

Enhanced Omnichannel

When digital and voice channels operate independently, teams lose context. Enhanced Omnichannel focuses on breaking down the separation between channels, so actions taken in one place can influence outcomes everywhere else. This improves routing decisions, reduces duplicated effort, and gives agents a clearer view of the full customer journey.

The work centres on unifying new and existing capabilities around a single omnichannel architecture, with workflow and AI at the core. Voice and digital interactions are no longer treated in isolation - dispositions, attempt counts and outcomes can be shared across channels, and agents can handle digital and outbound voice concurrently.

Route Digital Interactions to the Right Outcome First Time

Digital Interaction Routing and Response

Digital interactions often wait in queues before anyone knows what they’re about - leading to slow responses and unnecessary hand-offs. Digital Interaction Routing and Response helps teams evaluate digital contacts as soon as they arrive, improving speed, accuracy and customer experience.

Simple queries can be resolved immediately, while more complex ones reach the right agent first time. As digital messages arrive - including email, SMS and messaging channels - workflows automatically assess intent. Straightforward enquiries can be handled with automated AI responses, while others are intelligently routed into the most appropriate queue based on context and need.

This reduces handling time, prevents mis-routing, and brings the same intelligence to digital channels that teams expect from voice.

Support Agents While the Conversation Is Happening

Real-Time Agent Assist

Post-call feedback comes too late to change outcomes. Real-time AI assistance helps agents do the right thing in the moment, improving accuracy, confidence and compliance. Handling time drops and customer experience improves - especially in complex or regulated scenarios. The feature surfaces live guidance, disclosures, next-best actions and knowledge based on real-time intent and context.

Extend Automation Across Every Digital Channel Customers Use

Cross-Channel AI Agents

Customers don’t always stick to one channel - and automation that only works in silos quickly breaks down. Cross-Channel AI Agents extend AI handling beyond voice and web chat, helping teams engage consistently across SMS, WhatsApp, Meta and email, even when conversations are asynchronous. This reduces missed messages, improves response times, and ensures customers get a coherent experience wherever they continue the conversation.

This capability expands existing AI Agents to operate across digital channels, allowing conversations to pause and resume naturally while maintaining context. AI Agents can handle clearly defined interactions end-to-end where appropriate, or pass conversations to humans with full history when needed, ensuring continuity across voice and digital touchpoints.