A Day in the Life of an AI-Enhanced Head of Customer Services 

Hi, I’m Sarah, the Head of Customer Services for an English County Council. My role is to oversee the quality of services provided to our residents, ensuring that their needs are met efficiently and effectively, whether they’re accessing local services, reporting issues, or seeking support. My team and I manage everything from frontline enquiries to complex case management. Thankfully, AI plays a pivotal role in enhancing our productivity, improving service delivery, and ensuring the wellbeing of both our residents and staff. 

Here’s how my day unfolds, working with AI agents that help us lead with data-driven insights and a human touch. 

Morning: AI-Powered Service Performance Review 

My day starts by reviewing the AI-generated performance dashboard, which provides real-time data on our customer service metrics. The AI analyses incoming requests from residents across various channels—phone, online chat, and email—and identifies emerging trends. This morning, it highlights a spike in requests for adult social care services, likely triggered by new local policy changes. 

The AI not only identifies trends but also suggests resource allocation adjustments to meet demand. For instance, it flags that our phone lines are currently understaffed to handle the influx of adult social care enquiries, while our online channels are underutilised. I work with my team to redistribute resources, ensuring our online support team takes on a greater share of enquiries by guiding residents towards self-service options that the AI can handle effectively. 

The AI also tracks individual team performance, highlighting which staff members may need support or adjustments to their workload. By monitoring key performance indicators (KPIs) such as call resolution time and customer satisfaction scores, the AI helps me identify areas for improvement. 

Mid-Morning: Supporting Frontline Teams with AI Chatbots and Virtual Assistants 

One of the most powerful AI tools we use is a virtual assistant, which supports our frontline customer service staff. These AI chatbots handle routine queries like council tax enquiries, waste collection schedules, and parking permits. The AI chatbot efficiently resolves up to 40% of resident queries without the need for human intervention​, allowing my team to focus on more complex and sensitive cases. 

This morning, the AI flags a few recurring issues that residents have been reporting through our chatbot system, such as confusion about changes to public transport timetables. The AI not only gathers these insights but also suggests updates to our website content and chatbot responses to provide clearer information. With these improvements, we can prevent future enquiries on the same topic, making the service more proactive. 

In addition to helping residents, the AI provides real-time coaching to my team members during their interactions with the public. It suggests possible answers, relevant policies, and the best tone of response, helping even newer staff handle difficult conversations more confidently. 

Lunchtime: Staff Wellbeing and Resource Management 

AI isn’t just about operational efficiency—it also helps me care for the wellbeing of my team. The AI monitors patterns in working hours, call volumes, and breaks taken by staff, helping me ensure that no one is overworked or facing burnout. This is particularly important in the current environment, where public-facing roles can be highly stressful. 

Today, the AI flags that one of my frontline team members has been handling a particularly high volume of difficult cases related to social housing complaints. I use this insight to check in with the staff member, offer them additional support, and adjust their workload for the afternoon to give them some breathing room. The AI also suggests scheduling some wellness breaks and assigning them less emotionally demanding tasks for the remainder of the day. 

This proactive approach helps maintain morale and reduces turnover, ensuring that staff feel supported and valued, which in turn improves the quality of service they provide to our residents. 

Afternoon: AI-Assisted Service Improvement Initiatives 

In the afternoon, I focus on long-term strategic improvements. AI-driven sentiment analysis is one of the most valuable tools we have. It continuously analyses resident feedback, from online reviews to post-interaction surveys, helping us understand the public’s mood and perception of our services. 

Today, the AI reports a drop in satisfaction scores related to our waste management services, driven largely by missed collections in a few rural areas. It recommends not only operational adjustments to reduce these missed collections but also suggests communication strategies to improve transparency and explain any delays to residents. With this information, I plan a meeting with the relevant service managers to address these issues and communicate improvements clearly to residents. 

The AI also assists in scenario planning. For example, it can simulate the potential impact of increasing self-service options for council tax enquiries, helping us project how much it would reduce call volumes and improve overall efficiency. This data is invaluable when presenting new initiatives to the directorate leadership team, ensuring that any changes are backed by evidence and have a clear impact on service quality. 

End of Day: Continuous Learning and Feedback with AI 

As the day winds down, I use AI to reflect on the team’s performance and identify areas for continuous improvement. AI provides me with personalised recommendations on staff training needs, suggesting where additional learning modules could enhance team capabilities. For example, today it recommends a digital communication course for one of our newer team leaders to help them improve their management of  virtual team members. 

The AI also tracks longer-term trends, such as which services consistently receive the most enquiries, and whether satisfaction scores are improving or declining over time. This helps me make informed decisions about where to focus our resources and how to better align services with resident expectations. 

Finally, I review my own performance dashboard, which tracks key leadership metrics like staff engagement, team productivity, and service improvement outcomes. This allows me to stay proactive in leading my teams, ensuring that I’m providing the best possible support to both my staff and the residents we serve. 

Conclusion: AI as a Catalyst for Effective Leadership and Resident-Centred Services 

AI plays a transformative role in my role as Head of Customer Services. From real-time performance management and resource optimisation to staff wellbeing monitoring and service improvement initiatives, AI empowers my team and me to deliver more effective and proactive services to the public. By automating routine tasks, providing real-time feedback, and identifying areas for improvement, AI allows us to focus on what matters most—ensuring that the residents of our county receive the support and services they need, and that our staff feel valued and supported in delivering those services. 

AI is more than just a tool; it’s a strategic partner in helping us navigate the complexities of modern customer service, improving the quality of our interactions and the satisfaction of those we serve. As we continue to evolve and expand our use of AI, I’m excited about the future of customer service in local government and the opportunities it presents for both residents and staff.