Explore fresh, expert perspectives on customer engagement and innovation

The rise of AI is revolutionising industries across the globe. In healthcare, it’s personalising treatment options. In retail, it’s creating tailored offers. In manufacturing, it’s streamlining supply chains. And in call centres, it’s changing the game entirely.

Tools like ChatGPT have shown how AI can handle complex queries, learn from interactions, and deliver lightning-fast responses. For contact centres, this isn’t just exciting, it’s essential.

High call volumes, repetitive tasks, and increasing customer expectations for fast, accurate resolutions put immense pressure on agents. Balancing these demands while delivering quality and improving performance is no easy task.

AI is the solution. By automating routine tasks, providing actionable insights, and enhancing agent performance, AI helps call centres boost efficiency, improve customer satisfaction, and empower teams to succeed.

In this article, we’ll discuss the impact of AI in contact centres, and the need for organisations to take a wider view of this evolving technology. When departments collaborate to create seamless AI integration, the whole business feels the benefit.

How is AI used in call centres today?

AI chatbots

The most obvious use of AI technology in contact centres is AI-powered chatbots. AI-powered chatbots have reshaped self-service, offering lifelike and personalised support through Natural Language Processing (NLP).

They can:

• Deflect routine queries: By resolving common issues without human intervention, chatbots free up agents for complex tasks.
• Provide tailored responses: Integrating with CRM systems, they personalise conversations based on customer history and preferences.
• Work around the clock: Available 24/7, customers get support anytime they need it.

With 80% of customers wanting better self-service options, AI chatbots meet this demand, reducing inbound call volumes, cutting costs, and enhancing customer experience.

AI speech analytics

AI speech analytics transcribes calls into searchable text files, streamlining QA processes and call reviews. Unlike manual reviews, which often cover a small percentage of interactions, AI can transcribe 100% of calls into searchable text files. Text is much faster to review compared to speech files, which means that QA teams can assess more calls than they would with a traditional manual process. This provides actionable call data and insights on a much wider scale.

Here’s what else AI-powered speech analytics can do for your call centre:

• Sentiment analysis: Understand customer emotions in real-time, flagging issues before they escalate.
• Compliance monitoring: Check agents meet regulatory requirements by tracking mandatory phrases within transcripts.
• Performance insights: Identify knowledge gaps and areas for improvement to enhance team performance.

These insights help contact centres optimise operations, improve agent effectiveness, and make data-driven decisions that have a positive impact.

AI analytics, automation & optimisation

AI automates repetitive tasks, streamlines workflows, and supports agents in delivering exceptional service.

Here are some examples of how AI and automation work together:

• Skill-based routing: Automatically connects customers with the most qualified agents for their needs.
• Real-time data access: Provides call summaries, keyword tracking, and sentiment insights for better team management.
• Workforce optimisation: Simplifies scheduling and forecasting, so resources match fluctuating workloads.

By handling routine tasks, AI allows agents to focus on high-value interactions, improving productivity and customer journeys.

The fear of change

Despite its benefits, AI still faces scepticism. People naturally wonder if it will live up to the hype and question what potential downsides it might bring.

For AI, much of the anxiety centres on data privacy and security. AI tools rely on analysing vast amounts of personal information to uncover trends and patterns. But what happens when an AI system has processed all the available data? How can organisations ensure this data isn’t misused or repurposed in ways that customers didn’t consent to?

This isn’t just science fiction. The debate around data privacy in an AI-driven world is real, leading to the emergence of innovative solutions like machine unlearning-a new field aimed at enabling AI systems to “forget” sensitive information completely. Initiatives like the Machine Unlearning Challenge push the boundaries of this technology, helping businesses comply with strict regulations and safeguard customer trust.

IT and CX collaboration: The key to successful AI implementation

While data protection is a crucial consideration for AI adoption, it’s just one piece of the puzzle. Successful AI implementation requires collaboration between IT and customer experience (CX) teams to address key questions:

• How will the data that drives AI be sourced, stored, and integrated?
• How will data flow seamlessly across disparate systems?
• How can patterns and trends identified by AI be turned into actionable insights?
• What specific outcomes should AI achieve?

An AI tool is only as effective as the infrastructure that supports it. CX teams must clearly define the organisation’s goals for AI-whether it’s enhancing customer satisfaction, improving agent efficiency, or boosting operational performance. IT teams, in turn, need to ensure the systems are robust enough to handle integration, data flow, and scalability.

When these teams work together, AI tools can seamlessly align with contact centre processes, enhancing both operations and customer satisfaction. Feedback loops between CX leaders and IT departments ensure AI solutions are continually refined to address real customer challenges and pain points.

By embracing collaboration and tackling implementation strategically, businesses can harness the transformative power of AI while safeguarding the trust of their customers.

So, what does the future of AI look like in call centres?

The future of AI in call centres promises even greater efficiency and customer satisfaction. AI will power more tailored customer journeys, automating support processes and empowering seamless self-service for a larger share of queries.

However, AI won’t replace human agents. Instead, it will redefine their roles, allowing them to focus on complex and sensitive interactions. Skilled agents will always be essential for delivering empathy and understanding in emotional or high-stakes conversations.

AI’s continued evolution will uncover deeper customer insights, support predictive analytics, and refine training tools. AI will support contact centres to deliver exceptional service and stay agile in a competitive market.

See AI’s transformative power in action with MaxContact’s leading contact centre software. Book a demo today.

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Imagine your most experienced sales agent—the one who consistently closes complex deals and handles VIP clients with ease. Now picture them spending their day calling basic leads that any junior team member could handle, while a new starter struggles through a high-value prospect conversation they're not equipped for.

This mismatch happens thousands of times daily in contact centres using traditional call routing. Valuable expertise gets wasted on simple interactions while complex opportunities fail because they reach the wrong agent.

The result? Frustrated customers, underperforming campaigns, and missed revenue opportunities that could have transformed your business results.

But what if every customer conversation could be automatically matched with the perfect agent? What if your VIP prospects always reached your most skilled closers, while your junior team focused on leads that match their developing capabilities?

This intelligent matching is exactly what outbound skills-based routing delivers—and it's revolutionising how smart contact centres maximise campaign performance and customer satisfaction.

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The Hidden Cost of Random Call Assignment

Traditional outbound routing operates on a simple principle: next available agent gets the next call. This approach creates three critical problems that undermine campaign success:

Wasted Expertise: Your most skilled agents spend time on routine calls that don't require their advanced capabilities, reducing their overall productivity and job satisfaction.

Failed Opportunities: Complex prospects requiring specialist knowledge reach agents who can't effectively address their needs, leading to lost sales and damaged relationships.

Inefficient Resource Allocation: Time gets wasted on extensive call list segmentation and manual campaign setup when intelligent routing could handle the matching automatically.

These inefficiencies don't just impact individual calls—they compound across thousands of interactions, creating significant gaps between your team's potential and actual performance.

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How Skills-Based Routing Transforms Outbound Success

Outbound skills-based routing flips this model entirely. Instead of random assignment, it intelligently matches each customer interaction with the most qualified agent based on skills, experience, and campaign requirements.

Here's how the transformation works:

Intelligent Agent Matching: The system analyses what's known about each lead or customer and matches them with agents whose skills align with their likely needs, questions, and challenges.

Dynamic Lead Management: Lead 'skills' update automatically based on live information, ensuring routing decisions use the most current data available.

Campaign Optimisation: Agents work across multiple campaign types without the complexity of manual list segmentation, streamlining operations while improving results.

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Four Ways Skills-Based Routing Drives Results

1. Maximised Campaign Flexibility

Skills-based routing works seamlessly across progressive, predictive, and preview campaigns, giving you the flexibility to optimise resource allocation based on real-time requirements rather than static campaign structures.

This adaptability means your best agents can focus on high-value opportunities regardless of which campaign they originate from, while ensuring every interaction receives appropriate attention.

2. Supercharged Agent Productivity

By eliminating the need for multiple segmented campaigns, skills-based routing streamlines daily operations. Agents can focus on what they do best while the system handles the complex task of matching them with suitable opportunities.

This streamlined approach reduces administrative overhead and allows agents to spend more time on revenue-generating activities rather than navigating complex campaign structures.

3. Enhanced Customer Experience

When customers speak with agents who understand their specific situation and can address their unique needs, satisfaction naturally improves. Skills-based routing ensures VIP customers reach experienced team members while general inquiries are handled efficiently by appropriately skilled agents.

The system even includes proficiency levels, routing customers to the highest-skilled available agent for their specific needs, with fallback options to prevent dropped calls.

4. Strategic Performance Intelligence

Advanced reporting capabilities track performance across skills, agents, and campaigns, providing insights that inform future strategy and resource planning. This data-driven approach enables continuous optimisation based on real results rather than assumptions.

Predictive insights help you proactively plan and allocate resources for future campaigns, ensuring optimal performance as your business grows.

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Industries Where Skills-Based Routing Delivers Maximum Impact

While any business making outbound calls can benefit from intelligent routing, certain industries see particularly dramatic improvements:

Sales Operations: Complex products and services require agents with specific product knowledge and consultative selling skills to navigate prospect objections and close deals effectively.

Financial Services: Regulatory requirements and product complexity mean customers need agents with appropriate licensing and expertise for their specific financial needs.

Debt Collection: Different debt types and customer circumstances require agents with specific training in negotiation techniques and compliance requirements.

Insurance: Policy types, claims processes, and regulatory considerations vary significantly, requiring agents with relevant specialisations.

Technology: Technical products often require agents who can understand and communicate complex features and benefits to diverse customer segments.

These industries particularly benefit from automatic matching because they involve high-volume outbound activity to individuals with highly specific needs that require tailored expertise.

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The Competitive Advantage of Intelligent Matching

The difference between random assignment and skills-based routing isn't just operational—it's strategic. When every customer conversation reaches an agent equipped to maximise its potential, several transformative changes occur:

Higher Conversion Rates: Qualified agents are more likely to successfully navigate objections, build rapport, and close opportunities.

Improved Customer Relationships: Customers feel understood and valued when they interact with agents who can address their specific needs professionally.

Enhanced Agent Development: Junior agents handle appropriate-level interactions that build their skills progressively, while experienced agents focus on opportunities that fully utilise their expertise.

Reduced Training Costs: New hires become productive faster when they're matched with interactions suited to their developing skill levels.

Better Retention: Agents feel more successful and engaged when they're working on interactions where they can excel.

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From Reactive to Predictive Operations

Skills-based routing transforms contact centres from reactive operations that assign calls randomly to predictive systems that optimise every interaction for success.

Instead of hoping the right agent happens to get the right call, you create systematic advantages that compound across thousands of daily interactions. The result is measurably better performance, higher customer satisfaction, and improved agent engagement.

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Making Every Call Count

In today's competitive landscape, every customer interaction represents an opportunity to build relationships, solve problems, and drive business growth. But those opportunities are only realised when the right expertise connects with the right customer need.

Skills-based routing doesn't just improve call distribution—it transforms how your contact centre operates. By ensuring optimal agent-customer matching, it maximises the potential of every conversation while creating a more satisfying work environment for your team.

When your VIP prospects always reach your best closers, when complex queries go to experienced specialists, and when new agents handle calls that build their confidence and skills, your entire operation becomes more effective.

The conversations are happening. The expertise exists within your team. The question is: are you matching them intelligently to maximise every opportunity?

With outbound skills-based routing, every call becomes an opportunity for success, every agent works at their optimal level, and every customer receives the expertise they deserve.

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Ready to transform your outbound campaigns with intelligent agent matching? Discover how skills-based routing can improve conversion rates, enhance customer satisfaction, and maximise your team's potential across every interaction.

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In the average contact centre, thousands of customer conversations happen daily. Each one contains valuable insights about customer needs, agent performance, and operational opportunities. Yet most of this intelligence remains locked away in audio recordings that are time-consuming to review and impossible to analyse at scale.

The challenge facing contact centre managers is clear: how do you extract meaningful insights from vast amounts of conversational data without dedicating entire teams to listening through recordings?

The answer lies in AI-powered speech-to-text analytics—technology that transforms every spoken word into searchable, analysable intelligence that drives better decisions, improved performance, and superior customer experiences.

The Hidden Cost of Unanalysed Conversations

Without reliable speech-to-text capabilities, contact centres operate partially blind. Quality assurance becomes a lottery based on random sampling. Compliance issues hide in unmonitored calls. Training opportunities remain invisible. Customer sentiment goes unmeasured.

Consider the typical contact centre challenges:

• Limited Quality Insight: Managers can only review a tiny fraction of calls, missing critical performance patterns

• Reactive Compliance: Issues surface only when problems have already occurred

• Inefficient Training: Without systematic analysis, coaching becomes guesswork rather than targeted improvement

• Lost Intelligence: Customer feedback, concerns, and preferences remain buried in audio files

The cost isn't just operational inefficiency—it's missed opportunities to transform customer relationships and business outcomes.

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How Advanced Speech-to-Text Technology Works

Modern AI speech-to-text solutions operate through a sophisticated multi-step process that delivers accuracy rates exceeding 90%:

Audio Capture and Cleaning: The system captures incoming calls and removes background noise and distractions to ensure clear audio for accurate transcription.

Phoneme Analysis: Advanced algorithms break down audio into smaller sound units and compare these to extensive databases of words and phrases.

Contextual Intelligence: Rather than simply matching sounds to words, the AI considers conversation context to assemble meaningful sentences with proper punctuation and speaker identification.

Real-Time Processing: Transcripts become available immediately after calls, providing instant access to conversation intelligence.

This sophisticated process transforms every customer interaction into searchable, analysable data that reveals patterns, trends, and opportunities that would otherwise remain hidden.

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Five Ways Speech-to-Text Analytics Transforms Operations

1. Accurate Transcriptions That Reveal Truth

High-quality transcripts provide managers with deep insights into customer needs, concerns, and emotions. This understanding enables agents to tailor responses more effectively, leading to improved satisfaction and reduced call handling times.

When you can see exactly what customers are saying—not just what agents think they're saying—you discover opportunities for service improvement that were previously invisible.

2. Lightning-Fast Analysis That Spots Trends

Post-call transcripts enable rapid analysis of conversation patterns across hundreds or thousands of interactions. Instead of waiting weeks to identify emerging issues, managers can spot trends as they develop and address problems promptly.

This speed transforms contact centres from reactive to proactive operations, preventing small issues from becoming major customer experience problems.

3. Targeted Agent Performance Improvement

Transcripts reveal specific areas where agents excel or need development—from communication skills and product knowledge to objection handling techniques. Managers can identify common errors, successful approaches, and training opportunities with precision.

This targeted insight makes coaching dramatically more effective, focusing development efforts on areas with the highest impact on performance and customer satisfaction.

4. Automated Call Summarisation That Saves Time

Intelligent summarisation eliminates manual transcription and analysis, freeing up valuable time for agents and managers. Key conversation points, outcomes, and action items are automatically captured and presented in easily digestible formats.

This automation means quality assurance teams can review more interactions in less time while maintaining comprehensive oversight of customer service standards.

5. Bulletproof Compliance and Quality Assurance

Transcripts can be instantly searched for specific keywords, phrases, or compliance indicators. Managers can quickly identify potential regulatory issues, quality problems, or training opportunities across their entire operation.

This comprehensive monitoring capability provides valuable evidence for legal disputes while ensuring adherence to industry regulations and internal standards.

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The Foundation for Advanced Analytics

Accurate speech-to-text transcription isn't just valuable in itself—it's the foundation that enables sophisticated speech analytics capabilities. When you have reliable transcripts, you can layer on additional intelligence:

• Sentiment analysis that reveals customer emotional responses

• Keyword tracking that identifies trending topics and concerns

• Performance benchmarking that compares agent effectiveness

• Compliance monitoring that ensures regulatory adherence

• Customer journey mapping that reveals experience patterns

Without accurate transcription, these advanced capabilities lose their reliability and value.

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Real-World Impact on Contact Centre Success

The benefits of implementing AI speech-to-text analytics extend throughout contact centre operations:

Enhanced Customer Understanding: See exactly what customers value, what frustrates them, and how they respond to different approaches.

Improved Agent Development: Provide specific, evidence-based coaching that addresses real performance gaps rather than assumptions.

Faster Issue Resolution: Identify and address emerging problems before they impact broader customer satisfaction.

Stronger Compliance Posture: Monitor adherence to regulations and standards comprehensively rather than through limited sampling.

Strategic Business Intelligence: Use conversation data to inform broader business decisions about products, services, and customer experience strategies.

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Making Every Conversation Count

In today's competitive landscape, the contact centres that succeed are those that learn from every customer interaction. They don't just handle calls—they extract intelligence that drives continuous improvement.

AI speech-to-text analytics makes this comprehensive learning possible. By transforming every spoken word into actionable insight, it turns your contact centre's most valuable resource—customer conversations—into a strategic advantage.

When you can see, search, and analyse every customer interaction, you discover opportunities everywhere: in the agent who needs targeted coaching, in the process that creates confusion, in the customer concern that signals a broader trend, and in the successful approach that could be replicated across your team.

The conversations are happening anyway. The question is: are you learning from them?

With AI speech-to-text analytics, every word becomes wisdom, every call becomes insight, and every interaction becomes an opportunity to improve performance and delight customers.

Ready to transform your customer conversations into actionable intelligence? Discover how AI speech-to-text analytics can provide the insights you need to improve agent performance, ensure compliance, and drive better customer outcomes across every interaction.

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A Journey Through Technology Innovation

Conor’s career path is marked by an impressive trajectory that began in engineering and development. His experience spans multiple disciplines, including professional services, pre-sales, and channel management. However, his true passion emerged in researching business challenges and collaborating with cross-functional teams to develop lasting solutions.

Throughout his career, Conor has achieved remarkable milestones, including launching a B2B product that attracted over 15,000 clients, securing patents for AI innovations, and successfully turning around products from decline to growth. His experience presenting at major industry events and managing global product portfolios across 40+ countries has given him a comprehensive understanding of the contact centre industry’s diverse needs.

Leading Spokn AI into the Future

At MaxContact, Conor will initially be taking the helm of our Spokn AI product. Spokn AI represents the future of contact centre analytics, enabling businesses to make better decisions by understanding the ‘why’ behind 100% of their contact centre conversations. This sophisticated yet user-friendly solution offers comprehensive topic analytics and sentiment analysis, providing complete clarity on business operations with insights available at the click of a button.

“MaxContact has all the ingredients for success – the people, the expertise, the vision, the empathy, and the drive. I’m eager to be part of that journey,” says Conor. His enthusiasm for the role is particularly focused on realising Spokn AI’s true potential, working closely with customers to ensure they can effectively leverage the platform for compliance monitoring and revenue optimisation.

A Vision for Growth

Conor’s approach to product management extends beyond technology alone. He emphasizes the importance of viewing products holistically – considering the processes, experiences, and people involved. His expertise in machine learning, deep learning, and SaaS solutions aligns perfectly with MaxContact’s vision for the future.

In his role, Conor aims to:

· Align MaxContact’s offerings with current market requirements

· Deliver products and services that precisely meet customer needs

· Foster positive customer experiences and references

· Develop solid product strategies for long-term market success

· Ensure a unified customer experience across all MaxContact touchpoints

We’re excited to have Conor on board and look forward to the innovative developments he’ll bring to our product portfolio. His commitment to sustainable technology innovation and creating value for clients, their consumers, and their communities aligns perfectly with MaxContact’s mission to transform contact centre operations through innovative technology solutions.

Welcome to the team, Conor!

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“I’ll prioritise this person first – they look more promising.”

Sound familiar? Whether you’re a debt collection specialist reaching out to contacts, a sales team pursuing leads, or a customer service team following up on enquiries, manually selecting who to call next feels like control. Many believe this selective approach makes them more productive. But what if there’s a better way to manage your outbound calls?

Transitioning from manual to automated dialling represents one of the most impactful changes a contact centre can make. It’s not just a technical upgrade – it’s a shift in mindset that can dramatically improve productivity and results. Yet like any meaningful change, it can meet resistance.

At MaxContact, we’ve guided hundreds of contact centres through this transition, and we’ve developed a streamlined approach that minimises disruption while maximising results. This guide walks you through the journey, addressing common concerns and highlighting the benefits you can expect along the way.

Understanding the Challenge

Before diving into the detail of the implementation roadmap, let’s run through why this transition can sometimes face resistance:

• Lead ownership: Agents sometimes prefer manual dialling because it gives them control over which leads they pursue
• Cherry-picking: The ability to select promising leads first can feel like a productivity advantage to agents
• Comfort with the familiar: Change, even positive change, can be uncomfortable

But what if we told you that automated dialling delivers more quality conversations, improves connection rates, and makes hitting targets easier? Let’s explore how.

Implementation Roadmap: Your Journey to Automated Dialling Success

Phase 1: Discovery & Planning

The journey begins with understanding your current dialling processes and identifying opportunities for improvement.

Key activities:

• Assess your current manual dialling processes, for example, dialling manually from a spreadsheet.
• Identify how you currently prioritise calls.
• Establish baseline KPIs (calls per hour, connection rates, conversions).
• Define success criteria for the implementation.

Pro tip: Be transparent with your team about the upcoming change. Share the ‘why’ behind the transition and how it will make their jobs easier, not harder.

Phase 2: Technical Setup

Once we understand how your team works, we can configure MaxContact to support and enhance your workflows.

Key activities:

• Develop a data import strategy
• Configure data prioritisation to dial your most valuable contacts first
• Set up campaign parameters, including dialling modes, connection rates, wrap times etc, to align with your business objectives and compliance requirements.
• Prepare reporting dashboards for real-time monitoring

Addressing team concerns: If your team currently cherry-picks contacts based on specific criteria, we can build that intelligence into the automated system. Through integrations with your CRM or data sources, we can replicate your prioritisation logic.

For example, if your team prioritises contacts based on engagement history, demographic data, or likelihood to convert, we can configure MaxContact to automatically fetch and prioritise contacts using those same criteria. This gives you the benefits of cherry-picking without the manual effort, ensuring high-value contacts are reached first while maintaining consistency across the team.

Phase 3: Training & Go-Live

This critical phase combines preparation and action as your team begins using MaxContact with our support.

Key activities:

• Train team members on how to use MaxContact
• Address resistance to change through education
• Provide on-site or remote go-live support
• Offer real-time troubleshooting and daily feedback sessions
• Monitor initial performance metrics

Message to your team: “The time you spend on the phone is going to be higher quality, your talk time will increase, instead of dispositioning another ‘no answer’ or voicemail. Instead, you’ll get through to live connections. This means more meaningful conversations and better results.”

During this phase, our experts work alongside your team to ensure a smooth transition, quickly addressing any issues that arise and making adjustments as needed. This hands-on approach helps build confidence and accelerates adoption across your organisation

Phase 4: Optimisation & Measuring Success

Once the system is operational, we focus on continuous improvement and measuring impact against your goals.

Key activities:

• Fine-tune prioritisation criteria
• Compare performance metrics to pre-implementation baselines
• Track success in progressive stages (adoption → productivity → outcomes)
• Identify opportunities for further optimisation
• Calculate ROI and long-term business impact

How Long Will This Take?

The timeline for implementation varies depending on the size of your operation and complexity of your requirements:

Small teams (up to 25 users): Typically around 2 weeks from discovery to go-live

Medium teams (up to 50 users): Approximately 3 weeks

Large teams or complex requirements: Custom timeline based on specific needs

Get in touch if you’d like to discuss your organisation’s individual needs.

Benefits That Make the Transition to Automated Dialling Worthwhile

For Team Members

• More quality conversations: Connect only with live contacts, not voicemails or no-answers
• Less wasted time: No more manual dispositioning of unsuccessful calls
• Easier target achievement: More quality conversations lead to more successful outcomes
• Better customer experience: Immediate connection when customers answer

For Team Leaders

• Real-time performance dashboards: See exactly how your team is performing
• Improved team productivity: Get more from your existing team
• Early identification of issues: Spot and address problems before they impact results
• Better resource management: More predictable call patterns mean better staffing

For the Business

• Increased productivity: Make 200-300% more calls in the same amount of time
• Enhanced scalability: Easily handle larger call volumes
• Improved reporting: Get detailed insights into performance
• Better ROI: More successful outcomes from the same team size

Real Success Stories

From Cherry-Picking to Consistent Results with Automated Dialling

A property services platform, who now use MaxContact, were previously using Salesforce with manual click-to-dial functionality. Their team would meticulously scan through records, cherry-picking leads based on subjective criteria, which created inconsistency in approach and results.

After implementing MaxContact:

• 40% more conversations with prospects
• 4 hours of pure talk time vs. previous 4 hours that included voicemails and dialling
• 80% contact rate – significantly higher than with manual dialling
• Consistent approach across the entire team

STA International: Boosting Debt Collection Performance

STA International, a leading debt collection agency with over 65 years of experience, needed a reliable contact centre solution that could maximise contact rates while maintaining compliance.

After implementing MaxContact:

• Contact rates increased from 7.5% to 18%
• 10% increase in overall contact rates
• 6% improvement in team productivity
• Year-on-year call reduction rates

The combination of predictive and progressive dialling capabilities transformed their operations, allowing them to speak with more people and collect debt more effectively.

Kandoo Car Credit: Scaling with Efficiency

Kandoo Car Credit, a UK-based car finance broker, was hampered by manual dialling limitations and inefficient call routing. After implementing MaxContact, they achieved:

• Operational efficiency by replacing manual processes with automated workflows
• 146% team scaling capacity without proportional increase in overhead
• Over 2,000 daily calls while maintaining excellent customer experience

The Bottom Line

Transitioning from manual to automated dialling isn’t just about technology – it’s about empowering your team to work smarter, not harder. When implemented with a focus on your specific needs and concerns, automated dialling can transform your outbound operation’s performance.

You can have more conversations with the right people in the best order to achieve your goals, whether that’s closing more deals, collecting more debt, or providing better customer service. All while knowing that reporting and compliance are automatically and easily covered.

The key is partnership. At MaxContact, we don’t just provide technology and walk away. We work with you to understand your unique challenges, configure MaxContact to meet your goals, and support you every step of the way.

Our platform provides:

• Progressive, predictive, and preview dialling modes to match your specific needs
• Intelligent contact strategies to target more effectively
• Skills-based routing for outbound calls
• Answer machine detection with over 90% accuracy
• Comprehensive reporting for continuous improvement

Ready to take the first step? Contact us today to schedule a discovery call and learn how we can help your team reach its full potential.

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The debt collection landscape has shifted dramatically. UK household debt reached approximately £2 trillion in the first half of 2024, creating unprecedented demand for collection services. Yet traditional recovery approaches are struggling to keep pace with this growing challenge.

For operational leaders, this presents a fundamental challenge: how do you scale debt recovery operations without proportionally scaling costs, especially when traditional methods are hitting efficiency limits?

The Reality of Manual Collection Operations

Walk into any traditional debt collection contact centre and you’ll see the same pattern. Agents spend their days making call after call, often with little to show for it. Industry benchmarking data from UK debt collection professionals shows that the average Right Person Connect (RPC) rate is just 26%, meaning nearly three-quarters of calls don’t reach the intended person.

This creates a cascade of inefficiencies. Agents make dozens of calls to reach a handful of people, many of whom aren’t the right person or available to have a meaningful conversation. Industry research reveals that call centre agents spend 30% of their working day on unsuccessful call attempts. The result? Teams burning through time and resources on activities that don’t drive results.

The human cost is significant too. Debt collection has some of the highest turnover rates in the contact centre industry, with many agencies reporting rates between 75% and 100%. It’s not hard to see why – repetitive dialling, difficult conversations, and constant pressure to hit targets in an inefficient system take their toll.

Why Traditional Approaches Are Struggling

Several factors are making manual collection methods increasingly challenging:

Customer expectations have evolved. People want to engage on their terms, through their preferred channels, at times that work for them. Traditional collection approaches – primarily phone calls during business hours – don’t align with how people want to communicate today.

The nature of debt has changed. UK households are under increasing financial pressure, with 44% of adults living in financially vulnerable circumstances – a 16% increase since 2022. Recent research shows that 13% of UK adults (equivalent to 6.8 million people) are struggling to meet day-to-day costs, making debt recovery conversations more sensitive and complex.

Regulatory complexity is increasing. The Financial Conduct Authority’s Consumer Duty has heightened focus on customer outcomes, requiring collection practices to demonstrate genuine customer benefit rather than just compliance. When two-thirds of UK adults who have interacted with a debt collector describe the experience as “stressful,” it’s clear the industry needs to evolve its approach.

The Hidden Costs Add Up Quickly

When collection operations rely heavily on manual processes, costs accumulate in ways that aren’t always immediately visible:

Training becomes a constant expense. High turnover means continuous hiring and training cycles. New agents need weeks to become productive, during which they’re generating costs rather than recoveries.

Productivity plateaus. There’s a natural limit to how many meaningful conversations an agent can have in a day when they’re spending most of their time on unproductive activities like leaving voicemails or speaking to wrong numbers.

Opportunity costs mount. When teams focus on high-volume, low-value tasks, there’s no capacity for the strategic work that drives better outcomes, like developing payment plans, understanding customer circumstances, or building relationships that lead to long-term resolutions.

Customer relationships suffer. Poor experiences during collection attempts can damage relationships, making future recovery efforts even more difficult and reducing the likelihood of successful resolution.

What Leading Operations Are Doing Differently

Forward-thinking collection operations are recognising that the traditional model needs to evolve. They’re finding ways to be more efficient while maintaining the human touch that effective debt collection requires.

The most successful approaches share common characteristics: they meet customers where they are, use technology to handle routine tasks, and free up human agents to focus on complex situations that require personal attention and problem-solving skills.

Leading operations are proving that dramatic efficiency improvements are achievable through smarter technology adoption. The UK debt collection market, valued at £2.0 billion in 2024 with 13.26% growth from 2023, demonstrates there’s significant opportunity for those willing to innovate.

Technology as an Enabler, Not a Replacement

The solution isn’t about replacing human agents with robots. It’s about creating a smarter division of labour where technology handles what it does well – routine tasks, initial contact, basic information gathering – while humans focus on what they do best: building relationships, solving complex problems, and providing empathy in difficult situations.

Digital voice agents can operate around the clock, meeting customers when they’re available rather than when your contact centre is open. They can handle payment reminders, frequently asked questions, and initial contact attempts, identifying which situations need human intervention and which can be resolved automatically.

This approach addresses both sides of the challenge: it improves efficiency and reduces costs while creating better experiences for customers. Industry data shows that one in five UK customers prefer to set up a payment plan, and most choose monthly repayments when given the option through digital channels.

The Path Forward

The debt collection industry is at a crossroads. Operations that cling to outdated methods will find themselves struggling with rising costs and declining effectiveness. Those that embrace smarter approaches, using technology to enhance rather than replace human capabilities, will thrive.

The goal isn’t to eliminate the human element from debt collection. It’s to ensure that human interaction happens where it adds the most value: in complex negotiations, empathetic conversations with people facing genuine hardship, and situations that require creative problem-solving.

By automating routine tasks and improving initial contact rates, operations can focus their human resources on the conversations that truly matter. This leads to better outcomes for everyone: more recovered debt for creditors, more manageable payment solutions for customers, and more meaningful work for collection agents.

The question isn’t whether debt collection will evolve, it’s whether your operation will be leading that evolution or struggling to catch up.

Ready to see how AI agents can transform your collections operation? Let’s talk about your specific challenges and explore how MaxContact’s digital voice agents can help you recover more debt while keeping overheads controlled.

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