Hack the Domo Stack: How Customers Are Building 500 AI Apps and Agents

At Domopalooza 2026, our annual Data + AI conference, we challenged our guests: Send us your idea for an AI-powered app or agent, and, for up to 500 ideas, we’ll build it. Oh, and we’ll complete them in 30 days.  

Anyone could submit an idea, and anyone did submit an idea. We received requests from people in healthcare and education, legal and insurance, and financial services and media planning. And the builds we’ve already completed are helping everyone from foodservice distributors and underwriters to CFOs and agronomists (also known as agricultural scientists—we had to look them up, too).  

As the challenge continues to unfold, you can track our progress and see completed builds in the AI Library.  

This month, for the Hack the Domo Stack series, we’re zooming in on a few of the solutions already built.  

2 new AI-powered apps and agents already live in the library  

AI-extracted order confirmations for procurement buyers

Procurement teams spend hours manually reviewing supplier emails and order confirmations. They have to copy shipment dates, quantities, pricing details, and order changes into downstream systems. It’s repetitive work where small mistakes can create larger operational issues later.

This AI-powered procurement app helps automate the process. Using AI, the app reads incoming supplier order confirmations, identifies key details, flags discrepancies, and structures the data for downstream review and action. Instead of spending time digging through inboxes, procurement teams can focus on resolving exceptions and managing their supplier relationships.

The team can now process everything faster and do it with much less manual effort.  

AI insights for media planners

Media planners work with massive amounts of campaign data, audience trends, pacing reports, and channel performance metrics. But turning all that information into clear recommendations often takes hours of manual analysis.

This AI-powered app helps planners move faster. The app analyzes campaign and performance data, surfaces trends, identifies opportunities to optimize, and generates insights in plain language that teams can act on immediately. Instead of assembling reports or searching for patterns by hand, planners can spend more time refining their strategies and communicating recommendations to clients.

It’s a good example of AI handling the repetitive analysis work while humans stay focused on judgment, creativity, and decision-making.

What these early builds have in common

Preserving headcount, cutting manual work  

The strongest AI use cases usually don’t involve replacing people. Rather, they get rid of the repetitive tasks that slow people down or keep them from doing more creative, engaging work.  

This is exactly what we’re seeing across the challenge submissions. Customers want help with tasks like reviewing documents, summarizing information, extracting data, generating recommendations, and routing workflows—not replacing the expertise of the teams doing the work.

Replacing point-solution SaaS with governed AI

Many customers are also looking for ways to reduce tool sprawl. Instead of buying another standalone AI product for every department, they’re exploring how governed AI apps and agents can live directly inside Domo, connected to the business data and workflows they already trust. That means fewer disconnected tools, more centralized governance, and AI experiences built around real operational data.

Built once, reimagined across the business

Another pattern we see emerging: Once a useful AI workflow exists, other teams want it too.

For instance, an app originally designed for procurement can inspire similar workflows in finance or operations. A reporting assistant for media planners can become a template for marketing analytics or executive reporting. The value compounds fast when teams can adapt and reuse proven AI patterns instead of starting from scratch every time.

The Domo tools powering the challenge

Agent Catalyst

Agent Catalyst helps teams build AI agents connected to real business context, workflows, and data. Customers can configure AI-powered experiences that reason through operational tasks instead of simply generating text responses.

The Domo MCP server

The Domo MCP server helps AI models securely interact with governed business data and tools across the organization. That means agents can work with trusted company information while staying aligned to existing permissions and governance controls.

App Studio  

App Studio gives teams a low-code way to build and deploy custom applications powered by AI. They can tailor experiences for their exact workflows and users.

Workflows

Workflows orchestrate actions across systems, people, and AI processes. Whether routing approvals, triggering follow-up tasks, or escalating exceptions, workflows help bring AI inside day-to-day business processes.

Watch the AI library grow

The 500 Apps and Agents in 30 Days challenge is still underway, and new builds are being added regularly. Want to see what customers are already building? Visit the full AI app and agent library to explore live examples, use cases, and new releases as they launch.

Explore the AI app and agent library.