Improving Complaints Handling in Local Government

From Resolution to Service Improvement 

When a resident makes a complaint, they want their concerns to be heard, their issue to be addressed and a clear response about what happens next. 

For local government, delivering that experience can be challenging. Complaints arrive through different channels, involve multiple services and often require employees to gather information from several systems before they can respond. At the same time, teams must manage workloads, follow appropriate procedures and ensure each complaint receives fair and proportionate consideration. 

Delays, repeated administration and fragmented information can make it harder to resolve complaints promptly and consistently. 

Improving complaints handling is therefore about more than responding faster. It means helping employees understand each case, access the information they need and identify opportunities to improve services based on what residents are telling them. 

AI can support this process by reducing some of the administrative work involved in managing complaints, while keeping employees responsible for reviews, responses and decisions. 

Effective complaints handling requires more than a process for receiving and responding to correspondence. Employees need to understand the issue, establish the relevant facts, find applicable policies and guidance, coordinate with the right services and keep accurate records throughout the process. 

These activities can become particularly time-consuming when information is spread across different systems or when complaints contain lengthy correspondence and supporting documents. 

Employees may need to: 

This administrative workload can leave less time for understanding residents’ circumstances, investigating concerns and resolving the underlying issues. 

Improving the process starts with identifying where these activities create unnecessary effort, delay or inconsistency, and where employees would benefit from better access to information.

AI can help employees process information more efficiently and reduce repetitive tasks across the complaints journey. 

Depending on the process, available information and appropriate controls, potential applications include summarising correspondence, extracting key details, categorising complaints and retrieving relevant information from approved sources. 

AI can also help prepare structured case information for existing workflows and produce first-draft responses based on approved policies and guidance. 

For example, an employee receiving a lengthy complaint could use an AI-generated summary to identify the main issues and relevant background more quickly. They could then review the original correspondence, investigate the concerns and decide how the complaint should be handled. 

Similarly, AI-assisted categorisation could help identify the service that needs to review a complaint, with an employee checking the classification where necessary. 

The objective is not to automate the outcome of a complaint. It is to reduce the time spent navigating information and completing routine administration, allowing employees to focus on investigation, resolution and the needs of the resident.

Improving complaints handling also means looking beyond individual tasks. 

A complaint may begin as an email or online submission, require information from several services and eventually need to be recorded and tracked through a case-management process. 

When these steps are disconnected, employees may have to copy information between systems, repeat searches or manually assemble case records. 

Local government can explore how information moves through the entire process, from receiving a complaint to recording the outcome and identifying any follow-up action. 

AI may help extract information from incoming correspondence, organise case details and retrieve relevant guidance. Integration with existing systems can then help information move into established workflows, subject to appropriate checks and permissions. 

The aim is to improve continuity across the process rather than introduce another standalone tool for employees to manage. 

This does not necessarily require replacing existing systems. In some cases, improving access to information or addressing a specific administrative bottleneck may provide more value than introducing a completely new solution. 

Resolving an individual complaint matters, but the information it provides can also help local government identify wider service issues. 

When complaints are recorded consistently and their outcomes are analysed, patterns can become easier to recognise. 

Are residents repeatedly raising concerns about the same service? Are similar issues appearing across different locations or teams? Are particular processes causing confusion or delays? Are complaints highlighting problems that could be addressed through clearer communication or changes to service delivery? 

Analysing complaints data can help local government identify recurring themes, monitor performance and understand where improvements may be needed. 

AI may support the analysis of large volumes of unstructured correspondence by helping identify common topics and summarise recurring concerns. Appropriate validation remains important, particularly where themes are ambiguous or the information is incomplete. 

These insights can help service managers investigate underlying causes, prioritise improvements and assess whether changes are making a difference. 

The value extends beyond individual case resolution. Complaints can provide evidence about the resident experience and help local government understand where services are falling short of expectations. 

Complaints can contain personal information and details about sensitive circumstances. They may also concern decisions or services with significant consequences for residents. 

Any use of AI must therefore be supported by appropriate information governance, security and human oversight. 

Local government needs to establish what information AI systems can access, how that information is protected and whether it is appropriate for the intended purpose. 

Employees must be able to check summaries, challenge incorrect classifications and ensure draft responses accurately reflect the complaint and the relevant evidence. AI-generated content should not replace proper investigation or determine whether a complaint is upheld. 

Clear accountability is essential. Employees should remain responsible for decisions and responses, with additional review where cases are complex, sensitive or require professional judgement. 

Efficiency should support a fair, accessible and transparent complaints process, not compromise it. 

Improving complaints handling does not have to begin with introducing AI. It starts with understanding the existing process and identifying where change could make the greatest difference. 

Local government should consider: 

These questions help establish whether the priority is better information access, more consistent case recording, improved workflows, AI-assisted administration or more effective analysis of complaints data. 

At Telefónica Tech, we help local government organisations understand these challenges, identify appropriate opportunities for AI and develop solutions around specific service needs. This can include focused discovery and proof-of-value work, followed by integration with existing processes where the evidence supports it. 

Better complaints handling is not simply about processing more correspondence in less time. It is about helping employees resolve residents’ concerns fairly, reducing unnecessary administration and using what local government learns from complaints to improve services. 

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