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Implementing Sustainable Collections Management at Sandwell Metropolitan Borough Council

As with many local authorities, Sandwell Metropolitan Borough Council has been faced with reduced central funding year on year, resulting in a need to reduce expenditure, but still maximise income. In 2013, Sandwell examined its arrears position. While the authority ’s in-year recovery rate was among the highest in the country, arrears were increasing year […]

The impact of Agilisys Automate on Fit Note processing

A large Central Government Department is responsible for undertaking Employment Support Assessments (ESAs) and Work Capability Assessments (WCAs). These assessments require the processing of Fit Notes, a means used by doctors and other health care professionals to provide information on how a condition may impact someone’s ability to work*. Fit Notes can be submitted as […]

Using webchat to drive channel shift at Dorsetforyou

Dorsetforyou.com is the pioneering shared website of 7 local authorities – Dorset County Council, Christchurch Borough Council, East Dorset District Council, North Dorset District Council, West Dorset District Council, Purbeck District Council and Weymouth and Portland Borough Council. The partnership was conceived as a way of saving money and providing its customers with shared online […]

Intelligent low cost surveys with brilliant response rate.

For many years, LBBD, like all other councils, had been using postal, telephone, online and email methods of surveying its citizens. Survey results should give councils valuable citizen feedback on all aspects of their services and allow the council to benchmark itself both externally and internally. LBBD’s results, like those of many other councils, were […]

Automating processes for a large central government department

By deploying the artificial intelligence of Agilisys Automate to categorise and process supporting documentation for benefit applications, a large central government department can save valuable resources, deliver improved efficiency and reduce the rate of error by automating almost half of baseline and projected demand. [...]

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