Domain-specific AI is rewriting the rules of workforce management

As AI transforms what it means to integrate enterprise systems, the convergence of human capital management data with intelligent integration platforms is creating a new class of domain-specific AI opportunity. Workforce-focused companies in industries such as retail and manufacturing are discovering that raw AI capability matters far less than whether that capability is grounded in the right structured data and governed by deep domain expertise, according to Dan McAllister (pictured), senior vice president for global alliances and channels at Boomi LP. But enthusiasm and execution are not moving at the same speed just yet, pointing to the urgency of building enterprise trust before autonomy can meaningfully scale.

“There’s so much more fear and panic this [era of innovation] because of the pace, and it’s radical change,” McAllister said. “It is empowering more people to do more things and yet it’s not widely adopted across the enterprise. It’s coming, we know that, but it’s still not there yet.”

McAllister and Jay Dettling (left), chief partner officer at UKG Inc., a human capital management software company, spoke with theCUBE’s John Furrier and Gemma Allen at Boomi World 2026, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed domain-specific AI, the nine-year Boomi-UKG partnership and how data governance is enabling a shift from static workforce systems to real-time systems of action. (* Disclosure below.)

Domain-specific AI drives the actionability shift

The Boomi-UKG partnership exemplifies how domain-specific AI is maturing. UKG, which serves more than 80,000 organizations across 150 countries with HR, payroll and workforce management solutions, has embedded Boomi’s platform directly into its own so customers achieve data integration without navigating the seams of the partnership themselves, Dettling noted. With frontline labor representing 30% to 70% of costs in retail, manufacturing and healthcare — and research showing organizations lose 2–4% of total labor spend to payroll errors alone — the stakes for getting that data right are significant.

“Together with Boomi, we’re really moving our platforms from what I’d call a system of record to a system of action,” Dettling said. “When you think about building a schedule for any of those things, that’s a very static thing, but real life happens. Someone calls in sick, you have an acute patient, you have a flash sale — whatever the situation is based on your business, you’re going to need to react, so moving from a system of record to a system of action is so important. We need to ingest other data sources, not just the data that we manage.”

But building enterprise trust in domain-specific AI requires a graduated approach. Rather than flipping a switch, both companies are helping customers walk a maturation curve — serving AI-generated decision points that humans can accept or reject before autonomy is extended, Dettling explained. Meanwhile, Boomi’s data activation platform serves as the mechanism keeping governance intact as agents take on more autonomous roles across complex enterprise environments, McAllister added.

“You can’t just let an AI agent decide [things] on their own, because who knows what they’ve been trained on,” McAllister said. “Having autonomy is great, having automation is great, but you’ve got to have it based on the rules that you’ve put in place for your organization for lots of good reasons.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of Boomi World 2026:

(* Disclosure: TheCUBE is a paid media partner for Boomi World. Neither Boomi, the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE