This release was originally published by Inside INdiana Business. Click here to read the original article.

INDIANAPOLIS – Indiana business leaders have launched an AI use-case catalog for the manufacturing and logistics sectors, the latest effort to help Hoosier companies make the most of artificial intelligence.

The online catalog, launched by Conexus Indiana, gives advanced manufacturing and logistics, or AML, companies a real-world look at how their peers are putting AI to work, the organization said. Companies can browse the catalog to see what other AML companies built, the cost and the results and filter by cost, function or subsector.

“The best way for a manufacturer to learn about AI is to see what a peer down the road actually did, what it cost them and whether it worked,” Conexus Indiana CEO Jay Wirts said in a news release. “Our partners consistently share that peer learning is the most valuable part of convening together as an industry. We wanted to bring that same peer learning to the broader AML community and inspire AI use of every size, from a small pilot on the shop floor to a major investment.”

A branded initiative of the CEOs of Indiana Corporate Partnership, also known as CICP, Conexus Indiana aims to advance the state’s position as a global leader in advanced manufacturing and logistics.

CICP earlier this year launched a broader AI campaign with Gov. Mike Braun. That effort, called IN AI, aims to work directly with employers across the state to accelerate AI adoption in ways that strengthen businesses and expand opportunities for Hoosiers.

The AI Use-Case Catalog already includes 100 AI projects submitted directly by Indiana companies, and Conexus is inviting other companies to share their own experiences. Submitting a project takes less than 10 minutes, the news release said, and all responses are anonymous when published.

Early data from the existing catalog submissions points to several trends:

  • Production scheduling and optimization is the most common starting point. Many companies are leading with everyday operational fixes rather than experimental AI projects.
  • Data quality and systems integration are the top perceived barriers. Companies most often cite clean, connected data and legacy systems as their biggest hesitations, though many projects in the catalog launched before either was fully resolved.
  • Some use cases move faster than expected. Demand forecasting is among the fastest to deploy, with some projects live in under two months.
  • A large budget isn’t a prerequisite. Several projects reflect early-stage experimentation using accessible, low-cost tools.

The catalog is the latest resource available to Indiana businesses through the IN AI initiative. Other resources include use cases from other sectors, including finance and construction; an AI readiness tool to help companies assess where they are now on their AI implementation and what to do next; an AI playbook; and in-person workshops.