FINAL WORD different departments in email chains or phone conversations . Simply put a query to the bot and it gives the user an answer .
The chatbot on its own does not contain the knowledge to draw upon and find an answer to the employee ’ s query . This is held by a wiki , similar to Wikipedia , which is an ecosystem that gives scalability and contains the policy documents which hold the answers to employee questions , in whichever way they might be asked .
The bot is the AI solution which navigates the wiki and finds the answer to the question . It streamlines the information contained within the wiki by leveraging ChatGPT models and the company ’ s own data system to provide quick and relevant answers to all queries about life within the company , not just those about mobility , using a platform which can be integrated anywhere .
A mobility programme is of course based on policies . The chatbot looks through the wiki to find the relevant policies and provide answers using the large language modelling of the database . When a policy is changed , the new and up-to-date policy is stored in the wiki so that the bot can always provide up-to-theminute answers .
The wiki is constantly updated and evolving to reflect the different ways employees ask their questions . The company uses AI to quality-check and ensure an answer is not discoverable only by using technical jargon ; it should be findable based on the language that an employee would use , so there is occasionally a need to rewrite commands to the bot .
AI may well continue being a trend for years to come as it evolves and its uptake continues .
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