Summarising calls takes time – anywhere from 10-30% of the call. And agents are almost always under pressure to get the task completed in as little time as is humanly possible to meet AHT and wait targets. This often translates to errors or even missing data. Which not only makes it hard for future agents to follow the story, it can be a regulatory challenge too.

AI-driven autowrap and summarisation tools are helping to alleviate this burden by automating the process, allowing businesses to cut handling times and improve CRM accuracy. According to Jimmy, it’s one of the easiest applications of AI a contact centre can implement.

What is the AI doing in autowrap?

Autowrap and summarisation technology uses natural language processing (NLP) and machine learning to transcribe customer calls in real time. As calls progress, key details such as issues raised, resolutions, and next steps are captured automatically. This eliminates the need for agents to manually document call details, both reducing errors and freeing up time for more customer-centric tasks.

Key Benefits: Time and Cost Savings

By reducing the time spent on manual transcription, businesses can lower wrap times by 50%, which translates to reducing handling times by 5-15%. For a contact centre with 200 agents, taking the mid-point of 10%, this could result in a reduction of up to 20 FTEs, and delivering a 2-3X ROI from day one.

How you take this benefit is then your choice:

a) A productivity gain, even through natural attrition

b) A service improvement by reducing wait times or improving service, with longer call times to allow for better first contact resolution

c) Reinvest in more value driving AI use cases to build maturity

Call Summary Accuracy

With manual transcription, there is always the risk of errors or omissions. AI-driven solutions eliminate these risks by automatically capturing the most relevant data from each conversation, improving both the consistency and quality of CRM records.

Increased accuracy has a number of benefits, whether you run a regulated business or not. First is in future contacts, whether you met a first contact resolution goal or not. Any future calls where a customer refers to a previous call – and reasonably expects there to be some level of ‘corporate memory’ – can be shortened by avoid any lengthy re-explanations of what has gone before. Not only does this provide a future productivity gain, it makes for a far better customer experience too. So even at use case 1, we are already facilitating value generation through slick customer processes that avoid typical customer frustrations, as well as productivity.

What’s more, the data is clean, reliable and available for future analysis and QA. Look out for an article on use case 2, Auto QA, for more on that subject.

When building a business case, these are important considerations; it’s important to remember that your baseline probably isn’t perfection. And so your quality uplift may be greater than you have otherwise anticipated.

Easy Integration: No Overhaul Required

While it is undeniably desirable to integrate Autowrap technology into CRM or policy admin systems, it’s not a pre-requisite to start making these gains. An agent – dubbed the ultimate API in our recent whitepaper– can easily check through the summary, make any necessary amendments if you require it (your benchmark of what is good enough will depend on your business) and copy and paste it in. They’re already used to connecting disparate systems and will be working where you want to capture it anyway.

This means that businesses can buck the trend of AI project failure and quickly adopt the technology with minimal disruption to existing workflows. Once the ‘short, sharp’ solution is working, of course you can consider and implement the deep integrations to automate the task, but you will be most of the way there without it.

Enhancing Agent Experience and Customer Outcomes

As alluded to earlier, the benefits aren’t just about reducing operational costs—they also enhance both the agent and customer experience. By automating mundane, and often poorly executed tasks like call transcription, agents are free to focus on more valuable work, such as problem-solving and building customer relationships.

This not only boosts job satisfaction – which in itself may then also translate to tenure, sickness and recruitment gains – it also contributes to higher-quality customer interactions. Look out for use case 5, ‘Agent Assist’ for more on this topic.

Measuring 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 or the gamut of other contact centre KPIs.

In summary, the benefits are:

1. Immediate productivity gains of c. 10% of agent all handling time

2. Improved accuracy of note taking

3. Customer satisfaction gains from better corporate memory and more attentive agents

4. More time available for valuable conversations

5. Employee satisfaction gains – happier agents, longer tenures, less sickness, reduced recruitment

6. Regulatory compliance improvements

7. Easy and scalable implementation to shorten implementation timescales and increase AI success

8. Ability to re-invest gains in building AI maturity

Ultimately, accurate (enough) autowrap is an obvious win in any contact centre.

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. 

AI in the contact centre is no longer a question of if, but where to begin. In our recent webinar with Jimmy Hosang, CEO and Co-founder of Mojo CX, we explored seven practical, high-impact AI use cases that are already delivering returns in real-world operations. From automating wrap-up notes to exploring full voice AI, the conversation cut through the hype to focus on what’s truly working – and what’s coming next.

From productivity savings – and easy wins – to value generation, here we summarise each of the seven use cases, their benefits, pitfalls, and what it takes to make them work.

1. Autowrap / Call Summarisation

This is one of the most immediate and measurable wins for AI – and it’s relevant to every contact centre, whether procedural or regulatory. With AI transcribing and summarising calls, wrap time is reduced by 50% and average handling times by 5–15%. In a 200-seat contact centre, at 10%, that’s equivalent to freeing up 20 full-time agents.

It’s an easy sell for operations leaders: the 2-3X ROI is immediate, the data is clean (and doesn’t need complex integrations, a simple copy/paste will do to start), and the impact on agent workload is obvious. What you do with the benefit is up to you; save the 20 FTE through natural attrition, reduce wait times, improve service. Less typing, less admin, more time for real conversations.

2. Auto QA (Quality Assurance)

Manual QA processes typically only cover 1-2% of calls. With AI-powered auto QA, every conversation can be transcribed and assessed, increasing both coverage and scorecard accuracy, with the potential to reduce QA overhead by 75%. Once the model reaches high accuracy (which can be achieved in four weeks or less), it enables a rethinking of QA resourcing. Where teams can reinvest those hours into value-adding activities like deep-dive analysis or real-time speech insights.

What’s more evaluation consistency is likely to see an immediate uplift, as is agent performance through real time feedback.

3. Auto Coaching

Team leaders spend 60-80% of their buried in fragmented data or playing detective to understand performance issues. Auto coaching can bring together call data, performance stats, and behavioural insights into one view – streamlining prep time and allowing leaders to focus on actual coaching.

From an efficiency perspective, this facilitates a shift in manager-to-agent ratios from 1:12 or 1:15 to something closer to 1:18 without losing effectiveness. But beyond that, coaching quality and consistency improve and agent development is more pointed and expedited. It also unlocks the potential for automated role play both on the job and in grad bays. This provides the basis then for both greater job satisfaction among both managers and agents, as well as delivering higher quality interactions throughout the operation. All of which have an impact on broader measures such as agent attrition, CSAT and brand perception.

SIDE NOTE: While those first three use cases focus a lot on the potential for reduction in headcount, it’s often more about doing better work, not just less work. Think: HITL (Human in the Loop), not human out of the picture.

4. Identifying Vulnerable Customers

This is where AI starts playing a key role in risk management and regulatory compliance. Agents can’t always be relied upon to spot vulnerability signals in real time – especially when they’re under pressure to do many things at one in a short space of time. AI can listen in and flag when it detects signs of vulnerability, alerting the agent in the moment and ensuring the right customer journey is followed.

The benefit? Reduced regulatory risk, better outcomes for vulnerable customers, and more confidence in compliance reporting. This use case also pairs naturally with summarisation – capturing the right context and actions in the CRM.

5. Agent Assist

Beyond risk management and efficiency, AI also enables agents to add value in the moment. Agent Assist tools analyse the live conversation and suggest actions – whether it’s handling a low-value enquiry quickly, spotting a sales opportunity, or guiding a customer toward a better outcome.

This is where things get exciting. AI is no longer just reducing cost – it’s helping unlock customer lifetime value and improving journeys. It’s also a mindset shift: from cost centre to value driver.

SIDE NOTE: The constant push for self-serve may well be eroding brand loyalty, where a great conversation with an agent isn’t only about making a sale or solving a query, it’s an experience that plays into customer brand perception.

6. Hands-Free Conversations

Imagine an agent who doesn’t have to type, click around systems, or juggle tabs – just talk and listen. That’s the promise of hands-free conversations. With AI handling navigation, form filling, and admin tasks, agents can give customers their full attention.

It’s not just about productivity, it’s about truly human interactions that focus solely on the customer. How satisfying would that be? It could change the type of people you hire and shift expectations around what great service looks like.

7. Full Voice AI

Everyone’s chasing the holy grail: fully autonomous AI voice agents. Why? 24/7 customer contact, instant routing, and scalable service without scaling headcount.

But Jimmy’s message was clear – don’t rush it, though do keep your eyes on the prize. Build your maturity and path to value with easier use cases, underpinned by the right data and processes. This isn’t about flipping a switch – it’s about a journey to transformation.

Final Thoughts: Think “value first, tech second”

Across every use case, the AI you deploy is about outcomes. Whether that’s saving time and cost savings, improving job satisfaction or deepening customer relationships, AI only succeeds when it’s introduced with purpose.

Start small. Pick the use case with the clearest ROI. And don’t be afraid to move fast – but move smart.

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.

Collectively Customer Contact Panel (CCP) have a lot of experience in contact centres and CX. However, as things are changing rapidly in the world of AI, we met with CCP to discuss some of the broader considerations, including what technology we could deliver as an alternative view of what could be our probable future reality with the support of AI – we agreed we would share the output.   

The art of the possible?  

We can talk about the pace and the tone of this piece, however the reality is that with appropriate questions raised and some boundaries that we included (some for our amusement) the content within this 10 minute AI generated “BotCast” not only demonstrates the capabilities of AI, but raises some interesting questions and considerations as to how CX evolves and what guard rails need to be in place.  

Click here and have a listen, and of course, if you want to discuss we’d be happy to deploy some of our humans. 

Say it quietly if you like, but businesses are grown and maintained through increases in customer numbers and/or customer value. Undoubtedly cost management is also a critical factor, but ultimately sales and retention activity that provides topline growth is critical to ongoing success and business value.

We all know that the chances of winning or retaining a customer are increased when you provide a great product or service. And that those who deliver, not just on price but perceived value, are in prime position to pick up customers from competitors when they do not.

Yet many businesses are focused on the potential cost savings that could be achieved through AI and automation. Have they have lost sight of the potential benefits of delivering a personalised service and those golden opportunities to encourage a customer to buy more or stay for longer?

Are you getting the best sales through service opportunities from AI and automation?

There are two key scenarios that could be playing out for many organisations, both B2B and B2C. Either of which could be limiting sales success:

1. The technology is doing great stuff

Customers are getting the service that they need in the moment they need it. Which means the brand is working on the assumption that because they’re well-served, they will come back to buy more. However, they are not engaged with these customers, they are simply dealing with their admin when they need to and as a result are being passive in their habits. This may work for on a number of levels, and it is reducing the cost to serve. However, is this a step away from brand bypass, as ultimately a gap in the connection with customers will result in them moving on when they see a better offer?

2. The technology isn’t hitting the mark

Customers are trying to resolve their issues, but are struggling. The automation or self-serve models don’t provide the right options and/or have no ‘way out’ for customers and as a result they become frustrated. So at the first opportunity, they are going to look to an alternative brand.

The examples are out there in key sectors.

Ofgem March 2024 data 

Harder to contact and less satisfying to deal with?

Despite and improving picture, the latest Ofgem data shows that 16% of customers find it difficult to contact their supplier, up from the low of 10% in Q1 2019.  Meanwhile, the same Ofgem data suggests that overall satisfaction with customer service across the energy industry currently sits at 66%, down from the peak of 74% seen in Q2 of 2020.

What’s more, the latest UKCSI data shows utilities performing the poorest with a score of 69.8. Telecommunications and Media brands are doing a little better at 73.3 (though down from January’s 74.7), but are still some distance short of the podium positions achieved by Retail (non-food) at 80.4, Tourism at 79.3 and Banks & Building Societies at 79.3. However, we can see drops in satisfaction across the board.

Could automation be contributing to those less satisfying experiences?

UKCSI data from earlier in the year tells us that for 53.7% of automated contacts, the customer still needed to speak with a human being.

Equally concerning, though, was that neither AI/chatbot or customer service employees are managing to resolve customer queries more than 54.2% of the time, as seen in the January results. Quite the damning indictment.

Consider also that 45.4% of customers would avoid using an organisation again due to poor use of technology.

Clearly there is work to be done.

Companies with higher customer satisfaction show stronger growth

But what is the impact of this on a brand’s fortunes? Is the 2-point drop in score for Telcos material?

Research in the UKCSI report from January 2024 shows that between 2017 and 2023 “companies with customer satisfaction at least one point higher than their sector average achieved stronger revenue growth”.

With c.80% higher compound revenue growth, 6.6% higher EBITDA, more than double the operating profit margin and a whopping £283.9k – more than half as much again – revenue per employee on the table for that increase of just one point, the importance of customer satisfaction to both the topline and the bottom line is stark. On the other side, the virtual lack of revenue growth and much reduced operating profit margin for 1-point lower puts into context the plight of Tourism, Leisure, Insurance, Public Services and the rather more beleaguered Telcos.

The same report highlights that 27.6% of customers who score an organisation 9 or 10 out of 10 for overall satisfaction will look to buy other products or services from them, whilst 20.8% of customers scoring 1 to 4 will spend less with the organisation and 41% scoring them at 1 to 4 will avoid dealing with the organisation again in the future if possible.

And so, it is easy to see why investment in customer service is critical to the success of an organisation. Why an organisation should be – and hopefully is – highly focused on it. And why a pure cost-reduction focus for automation or AI is short-sighted.

While these numbers tell quite the story, let’s assume things are the right side of the line service-wise, whether through AI or not. The next question then is, are you following up with the appropriate sales activity to effect further topline growth?

Are you ready to pick up the sales baton?

Effective sales operations depend on 7 key factors for growth, the same apply to both sales team and those required to deliver sales through service:

1. Access to the best people with the necessary sales and communication skills,
2. Clear reward and recognition structures with incentives, creating a culture and environment which encourages growth,
3. Appropriate product knowledge and ongoing team development, ability to handle objections effectively and to share learning to advance the performance of the team,
4. Effective technology which the team can leverage to access customer insights, understand which are the best customers to be contacted, when to contact them and what solutions to offer,
5. Practical approaches to sales compliance, which provide clear guidelines but can be managed without excessive burden to managers, allowing sales to be signed off effectively and if necessary, learning applied in a timely manner,
6. Ability to manage data and reporting to maximise sales opportunities which benefits the organisation, the sales agents and also the customers through ensuring access to right information at the right time,
7. Understand market conditions, customer behaviours and how your team needs to react to these.

If just one of these seven isn’t working too well, sales will suffer. But so may customer service or perceived value. For example, an intrusive offer in the middle of a customer complaint is likely to occur as unempathetic and may see the customer running for the hills. A well-handled complaint can increase value – or at least maintain it.

A colleague described a recent interaction about a problematic return with a well-known retailer, where mid-conversation they were invited to look at product that may interest them. Unsurprisingly, their reaction was not to immediately head to the link to browse, but instead to give a sharp retort – and then tell anyone who cared to listen how annoyed they were.

Not only did the retailer not make the sale, they likely turned the customer off. An excellent example of numbers 1, 2, 3, 4 and 7 (at least) not working. Not only was it bad scripting and a lesson in not what not to do, it may speak to overly aggressive reward structures and an environment that favours sales over growth. The nuance of which is important and why point four is critical – this was not the best customer to be contacted in this way at that time.

The same colleague similarly experienced rather odd service (from a Telco…) in store recently, where a service conversation without a satisfactory outcome turned to an attempt to upsell on a different product, followed by a recommendation to leave the brand for the product where the service outcome was unsatisfactory. Quite the rollercoaster! And no doubt an experience driven by a particular sales focus that the brand’s managers would be horrified to learn they have – let’s hope – inadvertently incentivised.

Picking your moment to turn service into sales is critically important and relies heavily on the skill of the individual, their training and incentivisation, supported by culture, technology and management.

With so much focus on customer service, do you have the need, will and capacity to optimise sales?

Great agents who can both serve and sell can be hard to find, and can be even harder to retain..

The use of technology and automation is increasingly expected for customer service – and rightly so, simple service issues don’t need complex solutions. But they do need human intervention when the service question isn’t simple, or the automated response fails. Or perhaps when a sales opportunity requires a more personal service.

The ability to deal with customers, their nuanced needs and when selling, their objections, still has a high level of dependency on human interaction.

Yet the data from Ofgem and UKCSI both illustrate that customers are frequently frustrated by both automated and agent interactions. Service delivery in many sectors is still some way short of previous highs, meaning there are still gaps to fix in customer service before you can even think of perhaps selling.

And to some extent, when improving customer experience can deliver increased revenue, getting the basics of service right first is a significant route to growth and building value – whether you agree or not about whether they ought to be, measures such as revenue growth, EBITDA and revenue per employee are important to investors and share price.

How you achieve optimised service, then layer on sales through service or even pure sales activity is a significant question. Each have their own challenges, but successful outcomes add up to an organisation that both sells to and retains customers optimally.

AI has begun to come of age – the last couple of years in particular have seen an explosion in AI opportunities.

In our new whitepaper, we explore the use cases and human considerations of implementing AI in contact centres.

The content was drawn from our round table discussion with a number of contact centre leaders from multiple sector across travel and leisure to utilities, subscriptions, lifestyle and wellbeing. We decided to sort the hype from the reality, chat about the risks and share reflections and learnings.

It was clear that the human component of customer interaction still has a key role to play, especially when dealing with customers who can’t or won’t engage digitally, are vulnerable or at a vulnerable time in the customer journey.

We hope that capturing our conversation gives a wider audience plenty of food for thought as we all get to grips with the opportunities AI brings.

9 steps to AI success

In the paper, you will find our 9 steps to AI success and our key takeaways from the day, where we covered:

• the importance of the ‘why’ of technology
• the diminishing role of voice and what happens when we make voice channels more available
• data responsibility
• how AI can support frontline staff and employee experience, and
• how AI can support the customer experience.

Are you ready for AI?

The whitepaper is free to download and immediately accessible below. We hope you find it useful and would love to hear your experiences too. Follow us on LinkedIn to share your thoughts.