AARP and Appian bring AI modernization to the back office

AI-led process modernization is redefining how enterprises deploy AI — moving beyond broad rollouts to embedding intelligence into specific, governed business processes that actually scale.

But the lingering gap between AI promise and practice is what AARP, a U.S. nonprofit advocacy organization serving Americans 50 and older, and Appian Corp., a process automation platform, set out to close — starting with something as seemingly routine as invoice approvals. The challenge for platform teams at large nonprofits is converting fragmented, manual operations into auditable, AI-ready workflows at scale, according to Jake Rank (pictured, right), vice president of product management at Appian.

“When you have AI, one option is, ‘Hey, let’s just give everybody in the organization some AI tools and hope for the best,'” Rank said. “Whereas, when you look at a process-oriented problem, you want a process-oriented solution. You can take that challenge and apply AI in a very specific place in the process. You’re constraining the role that AI has, which means it’s not going to go rogue. You can tune AI to be doing exactly what it needs to do, bring the right data, bring the right task information, all in the right moment.”

Rank and Tom Cavanaugh (left), vice president of platform management at AARP, spoke with Dave Vellante and Alison Kosik at Appian World 2026, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed AI-led process modernization, the role of Appian Composer in accelerating legacy transformation and how AARP is measuring the business impact of targeted AI automation. (* Disclosure below.)

AI-led process modernization starts with targeted problems

The AARP use case illustrates how AI-led process modernization gains traction: Start with a single, high-volume manual process, prove the pattern and expand. AARP’s invoice approval workflow cut across the entire association, touching dozens of employees simultaneously — making accuracy, security and auditability non-negotiable, Cavanaugh noted. The organization deployed Appian Composer, which uses AI to extract requirements from existing systems and generate working applications with visible, auditable workflows that business users can validate before a single line of code is built.

“One of the beauties of this tool is that I can sit in front of a business partner and say, ‘What is the problem that you’re having?'” Cavanaugh said. “I can … actively show them what works. Once they get over that initial hurdle of, ‘Oh, I can see what the problem is and I can see how this can help,’ you have a start.”

The business case for AI-led process modernization extends well beyond automating a single task. Organizations often underestimate how many people share the same pain point until they surface it, Cavanaugh noted. In AARP’s case, what began as one executive administrator struggling with a cumbersome invoice review process turned out to affect more than 40 people across the organization. Saving one person five hours a week, multiplied across that population, produces a compounding efficiency gain that funds the next automation project — a self-reinforcing cycle that’s the foundation of measurable AI ROI, Rank explained.

“Each time you’re building that business case, figuring out the right technology — whether it’s AI or actually maybe not AI — applying the right technologies to solve each of those problems,” Rank said. “[You’ll be able to know] that each project is delivering positive ROI so that it’s just fueling the next project.”

Modernization also forces a harder cultural conversation. Legacy processes often persist not because they work well, but because people built them and fear what comes next, Cavanaugh noted. The visibility that Appian Composer provides — letting business users see their workflows in natural language before committing to a build — lowers that emotional barrier. What was scary before becomes something people actively bring to IT with a request: “Help me go do this thing.”

“I think that they’ve gotten a very good start,” Rank said. “You’ve found the pattern that works because you’ve applied AI to a specific task and you’ve seen how you can get ROI out of that task. Now you can just look across the rest of the process and say, ‘Where are the other things that you can go and attack?;”

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

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

Photo: SiliconANGLE