Workday has given its platform new generative AI functionality. This should help users improve their productivity and make it possible to further streamline business financial and HR processes.
Of the new generative AI functionality Workday follows many other business software vendors who are making their software more intelligent to make customers more productive and optimize and automate business processes.
Reliable models based on your own data
Most of the new features that Workday has now announced focus on HR and employees, but also on financial processes. The proprietary AI models used for this are based on more than 625 billion transactions processed by the platform every year.
According to Workday, this provides the largest and cleanest dataset of financial and HR data. The AI models used therefore generate the most accurate, substantive and reliable results.
New HR generative AI features that have been introduced include quick job creation and easy creation of knowledge articles for employees.
Financial AI features
In the financial field, Workday’s new AI features give companies the ability to compare signed contracts. This way the correct invoices can be sent and the turnover becomes more accurate.
In addition, with the now added functionality, financial employees can more easily automate the process for reminders for unpaid invoices and automatically obtain all necessary information and permissions for purchasing processes.
Development solutions
Furthermore, new AI functionality for development purposes has also been added. With the Developer Copilot tool, developers can now use generative AI, text-to-code, to increase their productivity and convert natural language into code to create financial and HR applications. The tool is now built natively directly into the Workday App Builder solution.
Finally, Workday is developing a conversational AI tool to make it easier for users of the platform to converse with information. Consider requesting summaries, searches and context questions.
The new AI features, which complement 40 existing AI and ML capabilities, will be rolled out over the next 6 months to 12 months.