DXC Technology today announced it has extended its alliance with Boomi to enable organizations to integrate and orchestrate artificial intelligence (AI) agents
As a provider of a low-code platform for integrating application programming interfaces (APIs) and business processes, Boomi has extended its reach into the realm of agentic AI applications.
DCX will now create a center of excellence (COE) based on Boomi’s approach to integrating AI agents and systems, says T.R. Newcomb, chief revenue officer at DXC Technology. Via joint go-to-market initiatives, the two companies will also co-create solutions and reusable assets that can be shared across multiple DCX clients, he adds.
The ultimate goal is to help organizations unlock silos of data that are needed to train AI agents and optimize the workflows they are driving, says Newcomb. “Organizations will need better data access across their IT estate,” he notes.
Additionally, organizations will also need to define and apply governance policies to ensure that AI agents are only able to access data they have been granted permission to invoke. AI agents will also need to be secured because if compromised, they could provide cybercriminals with an opportunity to compromise entire business workflows and processes.
It’s not clear how aggressively organizations are embracing AI agents. A Futurum Research report projects agent-based AI will drive up to $6 trillion in economic value by 2028. Exactly how many of those systems will be built by consultants and integrators will depend heavily on the amount of internal AI expertise of the organization. A survey of over 1,000 business and IT leaders conducted by The Futurum Group suggests that expertise might be limited, with 61% already relying on outsourced AI solutions. The survey also noted 73% of organizations plan to change or add new consultants or system integrators in 2025.
Ultimately, any decision regarding which integrators and consultants to rely on will still come down to their level of domain expertise, says Newcomb. That level of expertise is only going to be more crucial than ever when determining how best to integrate AI agents into a workflow, he adds.
Eventually, most workflows and processes will incorporate AI agents to varying degrees. Precisely how autonomous those AI agents will be remains to be seen, but no matter how advanced they become, some level of human oversight will be required, especially as workflows continue to expand and evolve.
In the meantime, more large organizations have already launched one or more proof-of-concept projects involving agentic AI. The next major challenge will be to identify which of these projects will add the most value to the business based on the total cost of implementation. After all, deploying AI agents is likely to be an expensive proposition, given, for example, the number of AI tokens that might be generated and the overall amount of data that will need to be processed and analyzed. As such, significant care needs to be taken before deploying AI agents at scale in any production environment.
