Ordify AI focuses on practical enterprise adoption

A growing number of startups are building artificial intelligence tools, but adoption across businesses remains limited. Despite widespread interest, only a small percentage of companies have successfully implemented generative or agent-based AI into everyday workflows. For many organizations, the challenge is not awareness, but execution.

Kenosha-based startup Ordify AI is positioning itself to address that gap by focusing on usability and implementation rather than novelty.

The company provides a no-code multi-agent platform that allows users to delegate work to AI agents. The tool connects with an ever-growing number of apps and enables users to program custom automations using natural language.

Founded in 2025 by engineer and experienced technologist Roger Lam, the company is developing what it describes as a human-centered approach to AI that emphasizes practical application inside existing business processes. Lam is joined by COO Tina Chan Gonzalez and data scientist Decio Correa, PhD.

“The big promise of AI is not just answering questions,” Lam said. “It’s doing real work, automating workflows and helping people operate more effectively in their day-to-day jobs. It should not just be in large companies or highly technical teams; we want to democratize it.”

A focus on adoption

According to Lam, one of the biggest barriers to AI adoption is not technical capability, but usability and change management. He cites industry data suggesting that a significant majority of AI pilot projects fail to reach production, often because employees are unable or unwilling to integrate them into existing workflows.

“A lot of solutions are technically impressive, but they’re not practical or accessible,” Lam said. “You need more than a strong demo; you need something people can actually use in their daily work.”

Ordify AI’s approach is to embed AI directly into existing tools and processes, allowing employees to interact with it in familiar environments such as workplace communication platforms. Rather than requiring users to learn new systems, the company aims to adapt AI to human workflows. The platform also emphasizes what Lam describes as “human-in-the-loop” functionality, enabling users to monitor, guide and refine AI-driven processes over time.

“We don’t want people to adapt to AI,” he said. “We want AI to adapt to the human.”

One area of early traction for Ordify AI is in higher education, where the company is working with UW-Parkside to explore how AI can support both students and faculty. The team is collaborating on initiatives that allow students to build practical AI-driven solutions for real business problems.

One use case Lam is enthusiastic about is AI-powered academic advising tools designed to help students navigate course selection and degree planning more efficiently. The goal, Lam said, is to automate routine tasks so educators can focus on higher-value interactions. “The real power of AI is doing the mundane work so people can focus on what matters,” he said.

Looking ahead

Ordify AI is headquartered at the Kenosha Innovation Center, part of the Kenosha Innovation Neighborhood. Lam said the decision to locate the company in southeast Wisconsin was intentional. Drawing on his experience working across the globe, he believes the Midwest offers an opportunity to build companies focused on practical, long-term impact.

“A lot of people ask why not build on the West Coast,” he said. “But the innovation here is very grounded and long-lasting. That really resonated with what we’re trying to do.”

As the company continues to develop its platform, Lam said the focus over the next year will be on improving usability and reducing friction for organizations adopting AI. That includes simplifying how users interact with multiple AI agents and ensuring the technology enhances decision-making rather than overwhelming users. Ultimately, Lam sees Ordify AI’s role as helping businesses move beyond experimentation and into practical implementation.

“Every company wants to be innovative with AI,” he said. “The challenge is making it something they can actually use.”