Artificial intelligence applications have been shifting more towards practical examples and embedding into daily activities within enterprises. One recent example of such an application is the partnership of Providence Health and IBM which shows how companies can utilize artificial intelligence to facilitate cumbersome business processes without taking out current technologies that underpin these processes. As part of the partnership, IBM Consulting helped the healthcare organization streamline hiring and internal transfer using AI and automation which reduced hiring manager administrative burdens and allowed employees to find a new position faster.
The project which was announced on October 7, 2026, solves an important problem for Providence, which is one of the largest health systems in America with 119,000 caregivers in total. Providence identified that its hiring process had become very complicated involving multiple system interaction and manual approval procedures on the side of the hiring managers. This process was especially difficult for internal mobility when almost 50% of Providence hiring was related to internal transfers.
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To address the problem, Providence and IBM developed RITA, or the Requisition and Internal Transfer Agent. Built using IBM watsonx Orchestrate, the AI-powered digital worker connects with Providence’s existing Oracle Fusion Cloud Human Capital Management and Oracle Recruiting environments. Instead of introducing another standalone platform or replacing its existing HR technology infrastructure, Providence is using AI to orchestrate tasks across its current systems.
The results highlight the potential business value of this approach. According to IBM, hiring managers have reduced administrative effort by 90%, while caregivers can move into new roles an average of 12 days sooner. Providence has also reduced transfer costs by 60% and improved process accuracy by as much as 70%.
AI Is Changing the Approach to Enterprise Transformation
The Providence case study is indicative of a more general trend of companies adopting a new method of incorporating AI into their enterprise strategy. Companies have always been forced to make a hard decision whether to invest in legacy systems or expensive technology refresh to gain access to newer technology. An alternative solution would be the ability to connect AI capabilities with enterprise applications and enhance communication within them.
From the perspective of enterprises, this solution can decrease the disruption caused by technology refresh. Investments in enterprise applications can continue bringing value to companies, whereas AI agents will handle mundane tasks, workflow coordination and provide an easier interface for executing complicated processes.
This method of incorporating AI could be very useful for companies in highly-regulated industries where the implementation of enterprise applications is necessary. AI can potentially serve as an additional intelligence layer across these environments rather than requiring organizations to rebuild their technology foundations.
Implications for the Healthcare Industry
The implications would be quite relevant to the healthcare field, where having workforce available and operating effectively is associated directly with patient care delivery. Delays in hiring would influence hospitals’ and care centers’ ability to staff themselves with necessary employees, whereas inefficiency of transferring between departments might make it difficult to keep experienced personnel.
The potential of simplifying the process of mobility of people through AI-driven processes could increase the effectiveness of using the current workforce within the healthcare organization. For example, at Providence, the ease of moving caregivers to other positions would also facilitate employee retention through offering more opportunities.
Nonetheless, the use of AI agents within healthcare institutions also increases the need for governance and control of AI activities. As was discussed recently in the industry, there is a possibility of unauthorized AI accessing the healthcare environment. As the AI agents start gaining the capacity of performing actions on enterprise systems, it becomes imperative to control access rights of the agents and their actions.
What It Means for Businesses
From a business standpoint, what the collaboration between Providence and IBM shows is an approach to adopting AI that can be of great importance for any industry – making improvements to current systems rather than replacing them.
In terms of making decisions on implementing AI solutions, companies will likely pay more attention not to standalone generative AI applications but to agents that have the ability to orchestrate a whole workflow. This way, it will be possible for organizations to decrease the workload of their employees, increase accuracy and efficiency of processes, and keep the investments already made in enterprise software safe.
The fact of creation itself demonstrates that the next stage of enterprise AI could mean not adding another app but intelligently orchestrating people, data, and existing systems.
For Providence, the immediate goal will be to streamline the recruitment process for their care providers. On a wider enterprise level, this project offers yet another illustration of how AI can change the way businesses operate without having to begin their tech journey from the ground up.
