Faster Hiring, Better Matches: How M2N’s MPower Uses AI to Power Skills First Talent

This Indiana AI Innovation Network case study explores how Intrepid is modernizing commercial underwriting through real-time financial data, AI-powered analysis, and a unified capital platform.

Case Study: When Connectors Reveal the Truth: Building Data Integrity for Enterprise AI

This Indiana AI Innovation Network case study explores how Intrepid is modernizing commercial underwriting through real-time financial data, AI-powered analysis, and a unified capital platform.
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What is AI Inference? Why It’s the Real Enterprise Challenge Nobody’s Talking About

Most enterprises do not need to train foundation models from scratch. The real challenge is making AI inference work reliably, affordably, and at scale within existing infrastructure, cost constraints, and operational realities.
Indiana AI Innovation Network graphic labeled “AI Use Case” with the headline “AI-Powered Underwriting Accelerates Capital Access for Modern Businesses” and the Intrepid logo

Use Case: AI-Powered Underwriting Accelerates Capital Access for Modern Businesses

This Indiana AI Innovation Network case study explores how Intrepid is modernizing commercial underwriting through real-time financial data, AI-powered analysis, and a unified capital platform.

Case Study: How SEP Uses AI Across the Software Delivery Process

SEP’s “build it right or not at all” mindset isn’t a tagline—it’s how the company approaches product strategy, engineering discipline, and long-term client impact. This case study shows how SEP partners with organizations to solve complex problems the right way from day one.

Case Study: How Baker Hill Used AI to Boost Employee Efficiency by 30%

When Baker Hill’s leadership challenged the company to improve employee efficiency by 30%, the team turned to AI. Through a structured approach centered on adoption, governance, and compliance, Baker Hill integrated AI into daily workflows, reduced manual work, and built a foundation for responsible, scalable innovation across its business units.

Case Study: In Search of Flawless Execution – RT Moore’s Machine Vision Journey

In Q2 2025, RT Moore, a long-standing innovator in mechanical contracting, partnered with AI consultancy Stellar to address one of construction’s most persistent and costly challenges:  detecting quality issues before they result in expensive rework. With advances in AI becoming more accessible, RT Moore’s CIO, Josh Adams, asked a critical question: “Could artificial intelligence help catch these issues earlier; ideally, during rough-in construction, before they became expensive problems? And if so, where should RT Moore begin?”

Case Study: The Art of the Constraint

In Q1, 2025, AI Innovation Network member Data317 shared two groundbreaking projects that use AI to tackle two significant business challenges: fraud detection and construction cost management. This case study explores these initiatives, detailing the implementation strategies, outcomes and broader implications for businesses.