Identifying and supporting vulnerable customers – such as those experiencing financial difficulties, health issues, or emotional distress – is crucial for ethical, compliant and effective service delivery.

While the FCA has long taken a leading role in this space, other regulators such as Ofcom and Ofgem have also required vulnerability protections to be in place, with the UK’s Digital Markets, Competition and Consumers Act 2024 (DMCC), which came into effect on 6 April 2025, also widening the concept of vulnerable customers.

With thresholds higher than ever, the risks of not identifying vulnerable customers can be significant. Fines can now be imposed without a court order and at eye-watering levels, with reputational risk a compounding facto, not to mention the impact on vulnerable individuals themselves.

What’s more, with the divergence between UK and EU law, any cross-border businesses need to be even more on their toes in different jurisdictions.

What is the AI doing to detect vulnerability?

With the preceding three use cases essentially laying the groundwork for this kind of analysis and management, AI can identify signs of vulnerability by analysing speech patterns, language cues, and emotional indicators.

Key benefits: Categorisation and risk scoring

Vulnerability is a spectrum, and customers can move in and out of vulnerable states or between risk factors. Detecting this manually, however, is fraught with difficulty.

First, different people have different – and subjective – views on whether a customer may be indicating a vulnerability factor.

Second, the cues can be subtle and therefore challenging to pick up, especially when an agent – as a normal part of their job – is multi-tasking across multiple screens, taking notes and trying to hold a conversation at the same time.

But the AI is far less likely to miss those cues, because it isn’t distracted, isn’t having a bad or busy day, and doesn’t have empathy as an emotion. Any AI empathy is trained in data, and consequently consistently applied.

Record accuracy

As with use case 1, the use of AI enhances note taking and record-keeping by transcribing and summarising the call automatically. This avoids any temptation to rush the process, and risk non-compliance, while allowing the agent to focus solely on the customer’s needs.

Compliance alerts

While you could employ this kind of analysis in-flight, where prevention is almost always more desirable than cure, even a post-call analysis allows for flagging of potentially vulnerable customers and pro-active outbound or other management of that customer. retrospectively, and still gain some of the benefit, the nature of the regulatory and legal environment makes a real-time approach more desirable, with a prevention rather than cure approach.

Real-time vulnerability detection

The ultimate deployment of real-time detection during a call allows agents to adjust their approach on the fly. And for a true ‘belt and braces’ approach, if a risk score is exceeded, this can be flagged as a ‘red alert’ to the agent, very clearly instructing them not to sell, to do a welfare check, or provide relevant support information.

All of which not only manages the risk to individuals and the business, but empowers agents with the confidence to handle sensitive situations effectively and retains consumer trust through a commitment to their wellbeing that can also foster loyalty.

Implementation Considerations

Again, systems integration and data privacy are key factors in implementation, especially around matters of data usage and consent. As is training and embedding belief in the AI.

But where in other use cases it may be that the cost (or perceived cost) and complexity (or perceived complexity) of implementation of the AI project make the decision more difficult, in this instance, the potential of the AI is less about an ROI against cost than it is about ROI against the potential cost of those eye-watering fines if getting it wrong.

Measuring Success

Here, measurement may be a little trickier, depending upon how well you are able to understand the current baseline. Consider that manual QA is based on only 1-2% of calls, there could be whole swathes of risk going undetected.

The ideal situation is that there is nothing to measure. No issues, no incidents.

However, you can look at measures such as customer feedback from vulnerable customers, the numbers of interventions such as welfare or information provided, and adherence to regulations, particularly if using retrospectively rather than real time.

But the real benefits come from what doesn’t happen, rather than what does. In summary, they are:

• More frequent and consistent identification of customer vulnerability
• More accurate records
• More confidence in your compliance
• Less perceived risk within the business

Using AI to identify vulnerable customers enables contact centres not only to improve on consumer duty and meet the right ethical standards with empathetic and responsible service, it hugely decreases the risk of the worst possible outcome (from a business viability perspective) of an unexpected knock on the door from the regulator and/or widespread bad press.

To find out more about how CCP can help you make the right technology choices, read more here or get in touch.

This series of articles is drawn from our webinar with Jimmy Hosang, CEO and co-founder at Mojo CX. We explored seven key use cases for AI in contact centres, starting from the easiest productivity gains to value generating applications. You can find a summary of all seven use cases here, or watch the webinar in full here.

To explore why, I spoke with three top-class BPO and Jamaica experts, each of whom brings their unique perspective, from testing multiple outsourcing destinations around the world to Jamaican nationals deeply engaged in the country’s thriving BPO ecosystem.

According to Brad Meiller of Spectrum Brands, who has over a decade of client-side global outsourcing experience from in both retail and telecommunications, and whose philosophy is closely aligned with CCP’s own, while cost and service quality matter, it’s cultural alignment that often makes the biggest difference. And in his view, Jamaica ticks all the right boxes.

1. English-Speaking Advantage

As a native English-speaking country with strong cultural ties to the UK and US, communication is seamless, nuanced, and naturally aligned with Western service expectations. This fluency translates to higher first-call resolution rates and empathetic customer service experiences. And it’s not just language. Jamaican agents bring tone, warmth and cultural familiarity to the table too.

Jamaica is the third-largest English-speaking nation in the Western Hemisphere, and its accent is well-received by British customers.

2. Infrastructure & BPO Ecosystem

Jamaica’s government has invested heavily in digital infrastructure and the BPO sector, recognising it as a key pillar of economic growth. The island now boasts multiple outsourcing hubs in cities like Kingston, Montego Bay, and Portmore, all supported by reliable high-speed internet, business parks, and international flight access.

Connectivity is robust and reliable, with redundant data centres in locations such as Miami ensuring business continuity. The country also hosts two incubators, 220 seats in Montego Bay and 140 in Kingston. This provides scalable options for both startups and growing teams.

Modern network infrastructure, including low-latency fibre and support from the Universal Service Fund, gives Jamaica the capacity to meet UK standards. Ongoing developments like Starlink’s entry to the market continue to strengthen Jamaica’s digital resilience.

Big names like Concentrix, Teleperformance, Sutherland and Alorica already operate successfully on the island, proof that Jamaica can handle high-scale, high-performance outsourcing operations. And with global success stories like Amazon, Netflix, and Target leveraging Jamaican talent, the island’s credentials are hard to ignore.

3. Strategic Time Zone Alignment

Many BPOs in Jamaica provide 24/7 coverage, with service hours tailored to key markets including the UK. For UK businesses, Jamaica’s location also supports efficient logistics. Direct flights from Kingston and Montego Bay to London, Manchester, and Birmingham make it one of the most accessible Caribbean destinations. And with such a solid telecoms infrastructure , remote work is also a viable staffing option, particularly useful for late-night or flexible coverage.

4. Talent Pool & Education

With a literacy rate above 88% and a large youth population, Jamaica is producing thousands of skilled graduates annually, many of whom are turning to the BPO industry for stable careers. Institutions like the University of the West Indies and local vocational programmes  are directly feeding the outsourcing workforce, with a strong focus on service, IT, and administrative support.

There is also strong industry-academia alignment. The Global Services Association of Jamaica works hand-in-hand with universities and training programmes to ensure the labour force is future-ready. And not just for entry-level roles, but for higher-value positions in areas like IT development, integrations, and knowledge-based work.

Jamaican education initiatives such as the HEART/NSTA Trust program provide training across a range of skills such as language communication, sales, data entry, CRM, and IT, ensuring a steady flow of qualified professionals.

5. Competitive Costs with Cultural Fit

While Jamaica may not always be the cheapest, it offers incredible value-for-money when you factor in native English fluency, low agent attrition, cultural compatibility, and a growing pool of trained talent.

At time of writing, the exchange rate between the British Pound (GBP) and Jamaican Dollar (JDM) remains competitive, as highlighted in recent research by Peter Ryan Strategic Advisory, a leading market research and consulting firm focused on CX and BPO.

Critically, the service offering goes beyond standard customer service. Jamaican providers cover front- and back-office functions, including sales, debt collection, IT support, and more.

Importantly, Jamaica is no longer viewed solely as a destination for transactional CX work. It’s now recognised for complex support roles, higher agent touchpoints, and knowledge process outsourcing (KPO) – including finance and accounting services aligned with UK qualification standards.

6. Government Support & Incentives

With special economic zones (SEZs), tax incentives, and strong partnerships with international investors, the Jamaican government has rolled out the red carpet for global businesses. Whether you’re setting up from scratch or partnering with an existing provider, the regulatory environment is built for speed and scalability.

The country’s legal system is modelled closely on the UK’s, providing familiarity and confidence for British and Commonwealth investors. The same is true of its education system, which mirrors the UK structure and standards.

Jamaica’s 2023 Data Protection Act aligns the country’s data policies with international standards, making it suitable for regulated industries like banking, healthcare, insurance, and utilities.

During the April 2025 Outsource2Jamaica event we attended, the government’s commitment was front and centre – Jamaican Prime Minister Andrew Holness personally welcomed international guests and industry speakers, underscoring the strategic importance of the sector.

As Gloria Henry of the Port Authority of Jamaica and Conrad Robinson of the Jamaica Promotions Corporation (JAMPRO)  – both are helping position Jamaica not just as a viable outsourcing option, but as a strategic hub for global service delivery – explained, Jamaica isn’t just promoting itself, it’s backing up its vision with significant public investment. Over $15 million has already been invested into talent development through global training programmes.

JAMPRO also offers “concierge-style” support to businesses entering the Jamaican market, further streamlining the setup and integration process for UK firms.

Final Thoughts

Jamaica is a smart, scalable, and soulful choice for businesses looking to outsource. With its blend of cultural alignment, language fluency, government backing, and operational maturity, Jamaica stands out as a trusted and future-ready BPO partner for UK businesses, particularly for those seeking alternatives to traditional offshore delivery points.

And as Brad Meiller shared with me, BPO selection processes across global organisations often involve extensive RFPs and a lot of box-ticking. Thanks to the strengths outlined above, Jamaican BPOs make that box-ticking exercise remarkably straightforward.

Want to find out more or meet vetted providers in Jamaica? Drop us a line, we’re happy to help you explore your options.

With thanks for their insights to Brad, Peter, Gloria, Conrad and CCP’s Phil Kitchen, who all attended the Outsource2Jamaica event in April 2025.

Quality assurance (QA) is a staple of every contact centre, more so where compliance and regulation demand it. Traditionally, manual QA reviews are concerned with the customer interaction itself, are labour-intensive and typically cover only 1-2% of calls.

While manual QA will pick up some training points, through a lack of comprehensive coverage, it often misses systemic issues that haven’t become immediately obvious elsewhere in the organisation but that could be found buried in call analysis.

What is the AI doing in Auto QA?

Auto QA uses artificial intelligence to automate the evaluation of both customer interactions through transcription (remember use case 1 – autowrap) and sentiment analysis, and what the agent did on systems.

Let’s examine the benefits.

Key benefits: Comprehensive coverage

With AI, it is possible to cover 100% of interactions; to fully assess agent performance consistently and at scale across all interactions and all areas of the QA scorecard, and send alerts straight to a team leader’s desktop.

Resource optimisation

With manual QA, you typically see around a 1:30 or 1:50 ratio of manual QA people to agents. But with Auto QA, you can expect around a 75% reduction in that overhead. Which is significant when working on fine margins, either in headcount reduction, or redirecting those resources to transformation or speech analysis tasks as opposed to data gathering.

Consistent evaluations

As with any human task, while we may believe all QA people are using their scorecard and delivering in the same way, even with calibration sessions and financial incentives, the chances of that being the case are slim; you may already know this from those calibration sessions. Indeed, the interpretation of the calibration itself may be flawed – for example, two different people may have very different takes on what constitutes empathy.

So while an AI scorecard evaluation of a voice interaction may, for example, only be 80% accurate to begin with, it is consistently 80% accurate, as opposed to the potential for human analysis to vary significantly and most likely sit at a lower accuracy figure of around 65%. Meaning more calls are scored at greater accuracy overall.

Real-time feedback

Finally, the benefits of real-time feedback while softer, are easy to understand. And completely measurable via the scorecard.

First, immediately picking up training points allows the agent to implement improvements on the very next interaction.

And second, for an agent taking hundreds of calls a day, picking up a training point even a few hours after the call occurred – especially if the interaction reason or resolution is atypical – makes it harder for the improvement points to stick, even with the benefit of the call to hand.

Implementation considerations

Aside from systems integrations, data privacy and compliance – and instead focusing more on the vagaries, of AI – accuracy (or lack of it) immediately translates through to an impact on human resources, where a less accurate AI could result in wasting resources on issues that aren’t issues.

Which is why it is always desirable to ensure there are humans in the loop (HITL), both in training, developing and refining the AI models, or in the process of checking its conclusions before delivering feedback.

With a combination of human review and machine learning improvements, the 80% accuracy figure can be improved to 85-90% accuracy in around four weeks, at which point you can consider pointing the human resources to different tasks. For systems interactions, including chat, you would expect greater accuracy from the AI from the outset, as it immediately has controlled data to assess.

If you can achieve 95-100% accuracy, per Mojo CX’s claims, then you can be confident human resources are targeted to where they are needed most. It may even be that you are willing to accept a lower rate of accuracy if the QA benefits outweigh the wastage. This is a decision unique to your business. And so as with use case 1, it’s important to understand the true baseline that the AI is improving upon.

Elsewhere, you may choose not to assess 100% of calls for processing and ESG reasons. These are all tolerances and optimisations that you can test and set to deliver against competing KPIs.

Measuring Auto QA success

For any AI implementation, it’s important to measure its success as this will build the case for future implementations. Whether that’s headcount, resource allocation QA KPIs or any of the many other contact centre KPIs.

In summary, the benefits are:

· 75% reduction in QA processing time

· 50-100 x increase in evaluated interactions

· 15-25% increase in evaluation accuracy and consistency

· Greater and faster improvement in agent performance and CSAT

While undoubtedly a little more complex to implement than use case 1, implementing Auto QA builds on those foundations by making use of call transcription and taking it to the next level.

To find out more about how CCP can help you make the right technology choices, read more here or get in touch.

This series of articles is drawn from our webinar with Jimmy Hosang, CEO and co-founder at Mojo CX. We explored seven key use cases for AI in contact centres, starting from the easiest productivity gains to value generating applications. You can find a summary of all seven use cases here, or watch the webinar in full here.

1. Call Pickup Rate – Low pickup rates may indicate poor dialling strategies or incorrect customer data. Are managers addressing these issues to improve connection rates?
2. Average Call Duration – Longer calls may suggest engagement or inefficiencies. Do managers have the available insight to help distinguish between productive interactions and wasted time?
3. Average Handling Time (AHT) – Balancing efficiency with quality is crucial. Are managers optimising processes to reduce delays without compromising service?
4. Answering Machine Detection Rate – High voicemail rates waste agent time. Are contact centres adjusting their approach to minimise this?
5. Rejection Rate – A high volume of unanswered calls may point to poor targeting or dialling strategies. Are managers refining their approach based on this data?
6. Agent Wait Time Between Calls – Excessive downtime signals inefficiency. Are workflows optimised to keep agents engaged and productive?
7. Conversion Rate – Success is measured by call outcomes. Are managers analysing why some calls convert while others fail, and adjusting strategies accordingly?
8. Occupancy Rate – Are agents being overworked, leading to burnout, or underutilised, resulting in wasted resources? Do managers have the right data and leadership skills to balance their team members’ workloads effectively?
9. Data Accuracy – Poor data leads to inefficiencies and failed connections. Are managers ensuring databases remain up to date?
10. Right Party Contact Rate – If agents aren’t reaching the intended recipients, performance suffers. Are managers taking steps to improve contact accuracy?
11. Customer Satisfaction Score (CSAT) – A positive customer experience is essential. Are managers prioritising training to enhance service quality?

• Lack of real-time performance insights.
• Insufficient training for managers to interpret and act on KPI trends.
• Inefficient processes that fail to align with data-driven improvements.
• Gaps in technology preventing optimal call routing and workflow automation.

In today’s outsourcing landscape, success depends on much more than cost savings and process efficiency.

On 25^th February 2025, Neville Doughty and Phil Kitchen from the Customer Contact Panel hosted a webinar with Joe Hill-Wilson, CEO and Co-Founder of Learn Amp and Martin Hill-Wilson, Owner of Brainfood Consulting, to discuss Sustainable Operating Models in Outsourcing. One of the most important takeaways from the discussion on sustainable operating models is that Learning and Development (L&D) must be embedded into the core of every outsourcing strategy. Without continuous learning, sustainability simply isn’t possible.

Why Learning and Development is a Sustainability Driver

In outsourcing environments, teams often face rapid change, evolving client expectations, and shifting technologies. This is reflected in the data – 92% of organisations are facing high or very high risk of top talent leaving in the next year (Brandon Hall Group, HCM Outlook, 2024). Without a structured and ongoing approach to skills development, outsourced teams can struggle to keep pace, leading to inconsistent quality, reduced productivity, and higher turnover . During the webinar, 82% of attendees reported that current procurement practice restricts the value they can bring to their clients.

The key takeaway? Organisations that embed L&D into their operating models create more resilient, adaptable, and future-ready outsourcing workforces.

Challenges in Sustainable Learning for Outsourced Teams

The panel discussed the various challenges companies face when it comes to embedding learning into outsourced operations:

• Geographical and Cultural Gaps: How can we create a unified learning experience for teams spread across different countries, cultures, and time zones?
• Engagement and Adoption: With high attrition rates common in outsourced environments, how do we motivate teams to actively engage in learning?
• Measuring Impact: How can we quantify the ROI of learning programs in outsourcing partnerships?

What Effective L&D Looks Like in Sustainable Outsourcing

When looking at solutions for the challenges discussed, the panel noted the importance of centralised learning platforms that deliver consistent, engaging content to all locations. Platforms like Learn Amp help organisations create:

• Standardised onboarding programs to accelerate time-to-competence.
• Bite-sized, mobile-friendly learning content to fit learning into busy shifts.
• Social learning spaces that encourage peer-to-peer knowledge sharing.
• Data dashboards to measure engagement, skills development, and business impact.

Embedding L&D into Operating Models: 3 Key Strategies

Treat L&D as a Business Process, not a Project
Learning shouldn’t be an afterthought or an annual event. It needs to be a continuous, embedded process that evolves with the business and its outsourcing needs. 

Make Learning a Shared Responsibility
Learning success shouldn’t fall solely on HR or L&D teams. Operations managers, team leaders, and employees themselves all need to co-own learning outcomes. 

Measure What Matters
Sustainable learning models measure not just completion rates, but real business impact: faster onboarding; fewer errors; higher customer satisfaction; and improved employee retention. The LinkedIn Workplace Report shared that 94% of employees would stay longer if companies invested in their development. 

Key Takeaway

If there’s one key takeaway from the webinar, it’s this: sustainable outsourcing depends on sustainable learning. When organisations invest in embedding learning into every stage of the outsourcing lifecycle, they create an employee experience where team members thrive.

If you would like to access a copy of the recording it is available here: Webinar Link

The year ahead promises to be a turning point for customer contact. AI and automation are advancing at an unprecedented pace, yet businesses are facing economic uncertainty, rising costs, and rapidly shifting customer expectations. The pressure to adopt new technology and improve service levels means leaders must make bold, strategic choices.

At the end of 2024, we held our annual ‘Big Conversation’ to uncover key challenges for the year ahead and hear directly from cross-sector contact centre leaders about how they’re addressing them. These insights have shaped our latest whitepaper, 2025: A Year of Difficult Conversations?. In this paper, we explore those challenges in detail and outline priorities and solutions. One theme dominates: success in 2025 will depend on how well businesses navigate ‘difficult conversations’—both within their organisations and with their customer and suppliers.

How can you make the right tech decisions in the age of AI?

AI can be a powerful tool for improving operational efficiency. However, the reality is stark: according to Gartner, 80% of AI projects fail, which is twice the failure rate of non-AI projects. Despite this, the pressure in the boardroom to “do something with AI” is stronger than ever. The key question isn’t whether to implement AI, but how to do so strategically and safely.

When AI is implemented well it can deliver valuable results. But the risks of adopting this still fledgling technology can be significant—wasted investment, damage to reputation, and disruption to operations. The businesses that succeed with AI will be those that clearly define its use cases, align them with business goals, invest in high-quality, integrated data, and ensure that AI complements human expertise rather than replacing it. AI has the potential to be a game-changer—but only with careful consideration.

How do we meet economic, regulatory and resource challenges?

While grappling technology decisions, contact centres also face ongoing economic headwinds, regulatory challenges and a 15% decrease in headcount since 2019.

As businesses introduce new contact channels and explore innovative solutions, the fundamental customer need remains unchanged—a fast and effective response

But despite the rise in self-serve and co-pilot automation, customer satisfaction in the UK has declined. While automation is handling simple queries, agents are left to tackle only the most complex cases with fewer resources overall. Agents have little respite from more intense interactions and operations have fewer agents available. Even with future AI implementations, research predicts relatively modest headcount reductions of a maximum of 15%.

What’s more, in 2025, UK contact centres will need to absorb and manage an 8-10% increase in agent costs. Meanwhile the ongoing cost of living crisis means customers remain stressed and regulatory requirements add to operational demands —all against the backdrop of a muted growth forecast and ongoing economic challenges. No wonder things feel pressured.

Consequently, leaders are exploring various ways to optimise their service models, including offshoring, automation, or refining their approach.

Getting It Right: From Good to Great

One thing is clear. Transformation isn’t optional—it’s essential. The businesses that thrive in 2025 will be the ones that take a proactive approach. The most successful organisations will define clear, achievable AI use cases, align data, technology, and human expertise, prioritise governance, security, and compliance, and engage employees in AI adoption from the start.

The path ahead will present both opportunities and challenges, but with the right strategy, tackling today’s difficult conversations can pave the way for a stronger competitive edge tomorrow.

Read our paper for more detailed analysis of the challenges, but more importantly, how to tackle those challenges and put in place a positive programme of change.

The Whitepaper is free to download and immediately accessible below. We would love to hear your experiences too. Follow us on LinkedIn to share your thoughts.

As part of our recent webinar with Zoom, we discussed how a brand is far more than just a name or a product; it’s the sum of what the public thinks, feels, and believes about a business. It’s built on both tangible elements like product features and packaging, and intangible ones like emotional connections, marketing, and even independent conversations beyond a brand’s control. Delivering on the brand promise—a commitment to customers about what they can expect—is therefore paramount to success. But when businesses fail to deliver, the consequences are costly and far-reaching.

Businesses increasingly turn to outsourcing partners to support customer service and contact centre operations. However, ensuring these partners can uphold the brand promise is critical. By exploring the importance of a brand promise, the risks of failure, and the value of the right outsourcing partner, organisations can better position themselves for success.

What is a Brand Promise, and why does it matter?

A brand promise communicates the essence of a company’s mission, values, and purpose. It represents what customers should expect when interacting with the business. For example, Red Bull’s brand promise encapsulates the idea of “freedom” and giving “wiiings” to people and ideas. They successfully integrate this into their sponsorships of extreme sports and events, translating their values into tangible experiences that reinforce their mission.

Delivering on this promise consistently builds trust, fosters advocacy, and encourages loyalty. Customers who feel a brand aligns with their expectations and values are more likely to:

• Pay a price premium for products and services.
• Recommend the brand to others, driving organic growth.
• Maintain long-term relationships, increasing customer lifetime value.

The cost of failing to deliver on the Brand Promise

When businesses fail to meet expectations, trust is eroded. Research reveals that 31% of customers are willing to pay more for excellent service, but failure to deliver service quality results in significant revenue loss. Poor service costs UK businesses an estimated £7.3 billion per month in employee time spent resolving issues. Additional consequences of falling short on service delivery include:

• Damaged Reputation: Dissatisfied customers share their negative experiences online, influencing potential buyers before they even engage with the brand.
• Increased Marketing Costs: Companies must invest heavily to rebuild trust and mitigate reputational damage.
• Lower Customer Lifetime Value: Customers experiencing poor service are unlikely to return, reducing their overall spending potential.

Service delivery directly underpins the price premium brands can command. Without great service, even the best product offerings lose their appeal—and profitability.

Managing customer experience at scale

The challenge for brands lies in scaling customer experiences while maintaining human, natural, and supportive interactions. Customers expect more than just advanced technology; they demand seamless, elegant, and intuitive service that delivers the right information at the right time. Poor customer satisfaction—as seen in the UK Customer Satisfaction Index, which recently dropped to its lowest point since 2015—reflects the critical need for investment in experience.

To understand how service impacts decision-making, organisations should explore:

• Price Premium Expectations: How much more are customers willing to pay for exceptional service?
• Perceptions of Good Service: What defines great service from a customer’s perspective?
• Service’s Influence on Purchasing Decisions: How does a seamless experience drive loyalty and sales?

Leveraging outsourcing to deliver consistent experiences

Outsourcing has been a transformative tool for businesses over the past 40 years, enabling growth, transformation, and improved customer service outcomes. To realise these benefits, organisations must select their outsourcing partners carefully, considering solution fit, commercial alignment, and cultural compatibility.

1. Solution Alignment: The partner’s solution must match the company’s specific needs, including sector expertise, channel coverage, geography, and appetite for automation. Proven experience with similar challenges can offer peace of mind.
2. Commercial Mechanisms: The cost of service should account for the entire support structure—not just front-line agents—to ensure scalability and sustained quality. Contracts should incentivise mutual success and allow for evolving requirements over time.
3. Cultural Fit: Partners must embody the company’s values and approach, representing the brand authentically to customers. Building a genuine partnership requires mutual respect and clear processes for engagement.

Mitigating outsourcing risks

To minimise risk, businesses must define clear objectives, success measures, and realistic timelines before outsourcing. Processes should be fully documented, and knowledge transfer planned meticulously to ensure a smooth transition. Continuous communication with the outsourcing partner is essential for alignment.

Outsourcing also enables access to specialised skills, flexible scaling, and cost efficiencies, all of which support business growth without overextending internal resources. The key is selecting a partner who acts as an extension of the organisation’s team—not just a supplier.

Conclusion

Delivering on the brand promise is a strategic imperative that builds trust, drives loyalty, and sustains growth. Poor service is not just an operational issue but a risk to brand value and viability. Businesses that prioritise exceptional customer experiences can protect and enhance their reputations, achieving sustainable success.

Outsourcing, when approached thoughtfully, can be a powerful enabler of these outcomes. By choosing the right partner and fostering a collaborative relationship, organisations can mitigate risks, enhance service quality, and uphold their brand promises with confidence.

At Customer Contact Panel (CCP), we’ve witnessed first hand how these factors are influencing decision-makers, especially CX leaders and CFOs. If you’re in the midst of making an outsourcing choice, you’ve probably got one of the following on your mind. 

Growing Customer Demands: Meeting High Expectations 

It’s not just about answering calls anymore. Customers want fast, personalised, and empathetic interactions that feel seamless and aligned with your company values. This means businesses must be more careful than ever when choosing an outsourcing partner. A BPO’s cultural fit with your company is crucial—they need to speak your tone, align with your brand, and uphold the level of service your customers expect – all of which take time which you don’t have. So, companies are scrutinising potential partners more closely, ensuring they’re a perfect match. 

Technology: The New Wild Card 

Right now, you’re being asked to do more with less or deliver a better service with the same budget. With inflation, high interest rates, and currency fluctuations, offshoring doesn’t feel like a financial guarantee anymore. Add in automation—think AI tools and chatbots – and CFOs are starting to wonder if tech could be the silver bullet to that beast of a budget. Whilst AI and Automation can scale fast, they can come with hefty initial costs. Businesses are now weighing their options: 

1. Do they stick with outsourcing (onshore, nearshore, or offshore)? or
2. Do they double down on tech?

It’s a tough decision. Get it right, and they could boost customer loyalty; get it wrong, and it might lead to a backlash.  

ESG: Outsourcing in a Politically Charged World 

Outsourcing is no longer just about cutting costs; it’s also about navigating complex ethical and political waters. With Keir Starmer pushing for stricter ESG (Environmental, Social and Governance) standards, businesses are questioning their outsourcing partners, especially if those countries are known for poor labour practices or environmental issues. Throw in political instability and outsourcing now feels like a risky gamble. Operations could grind to a halt at any time, and businesses can’t afford that. 

On top of that, data security is tighter than ever. With the UK government’s more stringent regulations, especially for industries like finance and healthcare, outsourcing is becoming bogged down in compliance red tape. A single data breach could ruin a brand’s reputation and customers’ trust—so finding a partner who understands data security is more important than ever. 

Lastly, with the UK’s £22 billion budget shortfall and a focus on reshoring jobs, companies are balancing cost savings against their political and ethical responsibilities. 

How CCP Makes Your Life Easier 

At CCP, we get it – outsourcing feels complex. But we’re here to simplify it for you. We help businesses make smart, informed and equitable choices through services such as: 

• Partner Matching: We connect businesses with a handpicked network of pre-vetted outsource partners (220+ partners infact), cutting down on the time and risk of finding the right partner.
• Cultural Fit Analysis: We ensure your outsourced team aligns with your brand’s values and service style, so there’s no misstep in tone or approach.
• Technology Sourcing: We know how difficult it is to cut through the sales patter and find the right tech for your customer contact needs. Well look no further, we have a network of 120+ pre-vetted and audit technology partners – who will get right to the point.

The Bottom Line 

Outsourcing decisions are taking longer now because the stakes are higher. Customers expect nothing less than excellent service, and businesses are being much more careful about who they partner with. But with the right approach, outsourcing remains a powerful tool. 

At CCP, we guide businesses through the process, ensuring they find the right fit, reduce risks, and build lasting partnerships. In fact, 93% of CCP’s clients maintain long-term relationships with their outsourcing providers – proof that our approach works. 

With CCP by your side, navigating the increasingly complex outsourcing landscape is much smoother, helping you make the right decisions for today’s customer demands and tomorrow’s success. 

It’s often said that everyone has an opinion. In the same way, most of us feel like every contact centre has a seasonal peak (or more than just one). Most often the peak comes in the run-up to Christmas, with a secondary surge in the New Year. But – even for consumer retail – is the contact centre Christmas peak no longer quite the scary summit it once was? 

Just last week, the CCP team heard from an outsourced contact centre partner with deep capabilities in the retail and delivery sectors. It was having its traditionally busy pre-Christmas peak season – but only because it had gained a new client. Otherwise, 2024 contact volumes are notably down on previous years. 

So, have we passed peak peak?  

(Here I should say a big ‘thank you’ to Rochelle Weinstock and Nev Doughty for the fascinating chat I had with them the other week about a whole series of CX topics and challenges, including the Christmas Peak, which inspired this post).

Types of peaks

Broadly, there are two types of customer contact demand peaks:

1. Structural Peaks 

These might be the result of predictable external factors, like Christmas. Or internal factors that tend to drive customers to make contact, such as billing or renewal cycles, pricing increases and so on

     2. Spontaneous Peaks 

These are, by definition, not predictable and can’t accurately be planned for with any degree of confidence. For an ecommerce or insurance firm this could be the impact of bad weather, or for just about any type of organisation, a failure of customer-facing technology and systems will trigger contact. Other events that can drive a surge in contacts are less the acts of God (or the technology gremlins), but more personally identifiable.  

A colleague recently told me that lots of financial services and utility firms’ contact centre planning managers live in dread of an unhelpful mention or piece of consumer advice from Martin Lewis on breakfast TV!   

Closer to home, we are all familiar with the confusing marketing email campaign, changed app or IVR menu options or a competitor’s service failure – all of which encourage customers to make contact, service levels to plummet and customer experience to degrade. 

 And that’s the important thing. As we all know, peak demand is notoriously hard to manage operationally 

• Short-term extra staffing is difficult to resource and – especially with growing customer management complexity – quality in the short-term will rarely match that of existing staff 

• Asking existing staff to repeatedly work overtime can sap enthusiasm and goodwill 

• Degraded service levels can lead to repeated contacts across multiple channels, as well as post-contact process backlogs 

But the longest-term impact is on your customers, who will remember their personal experience of failure demand, lengthy wait times and delayed resolutions long after the end of the peak season. 

Can you defeat the peak? 

As already mentioned, the traditional Christmas peak seems to be diminishing for a variety of reasons including: 

• Online retailers are increasingly managing to automate or self-serve most simple query types 

• For many consumers the cost of living crisis not only continues, but is worsening – with the Office for National Statistics (ONS) reporting a 0.7% fall in retail sales in October and an increase in the energy Price Cap due in January. Which means that for lots of customers Christmas is a reduced affair 

• The institutionalising of Black Friday (or, more accurately, a ‘Black Friday period) serves to smooth the retail impact of Christmas  

People working flat-out in retail–focused contact centres right now may smile ruefully reading that, because for them the Christmas peak is still a big deal, but it’s definitely typically less than it used to be. 

So, what about other ‘structural’ peaks? We’re all a bit weary of reading about what AI might do for us, but the advent of affordable, scale data analytics and manipulation tools can make a real difference. If an organisation suffers under the long-term impact of initial ‘lumpy’ customer acquisition, annual price changes or contract renewal cycles, then proactive efforts can be made to test and flex communications and offers to best serve both retention and ‘contact smoothing’. 

Spontaneous peaks sound like, by definition, they can’t be combatted. Well, up to a point, but a lot of unintended consequences can be better understood. And if colleagues and business partners understand the cost and customer experience impact of their actions then that can be a game-changer. If colleagues regard the contact centre function as fixed cost of doing business, then they will have little incentive to help influence its demand.  

Although it’s often easier said than done, ensuring the contact centre has representation and a voice in planning decisions helps guard against ill-timed, confusing or unsettling communications, offers and changes in proposition. In many organisations, the contact centre is closest to the customer base and so best placed to anticipate unintended impacts and customer responses.

Can tech help? 

Of course, if you can’t avoid a planned or unanticipated surge in contacts, technology can help you cope. Appropriately deployed technology will help reduce handling time, allow for more self-service and make your frontline advisors’ lives easier – at any time of the year. 

But tools to specifically help you manage peak volumes include: 

• Queue-buster tools, which allow queuing callers to request a call-back instead 

• Visual IVR, which can help steer customers from live calls to a digital self-service option, if appropriate 

• Rapid analysis of contacts received to update online guidance, FAQs and your chatbot  

And, of course, outsourced contact centre resource can be invaluable in helping you handle an immovable peak.

Your peak experience

What’s your peak experience? Have you found that the traditional Christmas peak is diminishing – or is it just moving to different times? 

 Would you like to discuss the tools and techniques that are available to both reduce peak surges and better equip you to handle them?  Then get in touch, we’d love to chat. 

Everest Group have been in the industry since 1991 and are a specialist research firm producing c. 2,500 reports per year, these include their assessment of the state of the Customer Experience Management (CXM) market.

Through this latest report they estimate the CXM  market to be in the region of between $112 and $114 billion of revenues in 2023 for work connected to customers looking for support assisted through digital or human channels. There is an expectation that revenues will, however, be flat through 2025.

However, this accounts for only one third of the market which if taking in-house operations into account would be c. $330 billion, which presents a continued opportunity for the outsource community.

Other highlights include views around channel adoption and predictions of the death of voice are still not coming to pass, when considering include both agent supported voice and conversational AI driven interactions then, 72% of revenues were still coming from voice-based activity in 2023.

The average number of FTE has reduced by 15% since 2018/19 in the 2022/23 report. We know this has been driven by automation, elimination activities, improvements in efficiency, deployment of technologies especially around agent assist. The impact of generative AI has clear contributed to the ability of agents to be more efficient and reduce AHT. However, a survey of over 200 enterprises showed that 20.6% expected no impact to headcount, the majority (37.3%) expected a moderate impact of 5 to 15% and the smallest proportion of respondents (14.3%) expected a significant impact of greater than 15%.

What are clients or prospects looking for?

What insights can we gather from the session that can be applied in our conversations?

• There is still a strong demand for voice
• Deal cycles are longer than they used to be (as we’ve heard in many discussions)
• Increased adoption of GenAI is happening
• There is a desire to develop strategic partnerships, with longer relationships to enable access to better solutions
• Cost optimisation including movement to offshore locations to balance costs remains a focus,

However, when it comes to locations the list of new ones for global English support is growing. More attention is being paid outside the traditional locations and people are talking more about sub-Saharan Africa. Whilst limited numbers have been signed so far, there is a clear interest here. This could be in part be due to people being keen to understand what talent will be needed in 3 years and what skills those people need should also be a consideration as potential clients are now asking these questions.

Priorities for businesses working with service providers still include looking for smart optimisation, operational efficiencies and the collation of insights and data that can inform decision making in the business.

There is a continued focus on the development of agent experience, driving staff satisfaction and making agent roles easier through the use of technology and GenAI to ensure that talent is retained within business, to the ultimate benefit of customer experience, of course.

What businesses want to know is how you can solve a specific problem or challenge. They are now less inclined to say “this is my volume can you staff to that” and more likely to say “this is the problem, how can we create better outcomes together?”.

Customer experience remains critical and there is a movement from delivering an OK experience at the lowest cost, to instead now looking at the end-to-end experience from marketing through the customer lifecycle and then back into the next phase of marketing.

The impact of technology?

As with all changes, consideration needs to be made as to what is appropriate for the needs of your customer. For example, the use of voice in sales environments means that there 82% of activity is still voice led, whereas in Tech support this falls to 61%.

Technology will be beneficial when used in the right contexts, modernisation of existing solutions, the ability to collate data to make decisions around both customer and employee experience, but it needs to be an enabler not just an offering. We need to be clear as to what problem you are using it to solve.

Some clients will forge strategic partnerships with suppliers bringing the right technology and people to solve an issue. Using an outsource provider can bridge the gap from the migration to emerging technologies as outsource partners have people with the skills, knowledge and experience to support that change and can flex staffing requirements as necessary.

Decision making, however, will take longer as a result of the impact of technology change across the wider organisation. Changing experiences using systems and using better data to bring a consolidated view and benefits across the wider organisation means that there will be more stakeholders in the decision making process and therefore it may take longer to make those changes – which could then contribute to the feeling that deals need to be longer in duration to ensure benefits have time to be realised

Sector specific outlook

Healthcare has grown quickly last year and it appears it will continue to do so, Retail has again grown well this year and is forecast to grow faster in 2025, travel and hospitality whilst flat this year is expected to grow faster next year as the sector starts to look more at connected experiences using generative AI.

There is expected to be some reduction in headcounts in the Telco and Media space as providers look to squeeze costs and use technology to deliver savings.

Of course, the willingness of customers to engage with AI differs by sector. Healthcare and travel and hospitality have been among the slower adopters. As technology has moved faster, BFSI and Retail are embracing these changes too, with a focus on use cases to improve experiences and end to end solutions.  Agent assist, post call automation and agent training are all areas where AI solutions are moving into production. Less progress has been made on knowledge management and least of all on the use of sentiment analysis.

Most progress has been made with transitioning to production, where there is a direct impact to the customer. The focus so far in the past 12 months has been to deploy Gen AI into “safe” internal use cases, initially.

Evolving expectations

Clients expect more than ever before from outsource providers. In terms of the top 5 capabilities / requirements, some themes are consistent with those that have always existed, however in some cases there may be more openness or need for support, especially when using new and evolving technologies.

• Uplifting quality
• Elevating customer experience
• Implementing new tools and technologies
• Productivity
• Ability to introduce new ideas

AI skilled agents who are supported by automation allowing them to be more efficient and effective and deliver better experiences as a result, is becoming a standard expectation. Future capabilities will include near real time voice-to-voice translation with minimal lag. The opportunities that this may present need to be considered, but this could support many clients, as a result there needs to be careful consideration.

If you wish to chat about or need support in any of the areas discussed then feel free to contact us.