When the Grind Goes Smarter: AI-Built Systems, Margin Reality & Engineering at Capacity

About this episode

Matt and Michael discuss operational challenges, AI-driven solutions, and team management strategies in manufacturing.

Matt and Michael kick off Q2 planning mode while navigating one of the tightest operational squeezes yet. Matt reflects on running 91% engineering utilization — well above his preferred ceiling — and what that means for team sustainability, onboarding, and hitting deadlines without burning people out. He also shares a quiet but meaningful decision: hiring a cleaning crew that returned a 25% time gain for engineers, and donating Develop's SMT pick-and-place line to a local trade school. Michael, powering through being sick, goes deep on a fully custom AI-connected ERP he's built from scratch without writing a line of code. Tied into HubSpot, Shopify, LinkedIn, YouTube, QuickBooks, and Gmail, it's already automating email drafts, flagging follow-up gaps, cross-posting social content, and even modifying Shopify product pages on voice command. He also runs a hard margin audit that reveals both the IntraLoad and semi-turnkey lines are underperforming — and shares how he's repositioning pricing to target 60% gross margins. CoolantClear officially launches as a full product, with zero beta complaints. The episode closes with a candid debate about whether SaaS is dying for small…

People in this episode

Hosts: Matt, Michael

Topics covered

• AI in manufacturing
• engineering utilization
• team sustainability
• automation
• margin analysis
• SaaS for small business
• operational efficiency

Keywords

• engineering utilization
• AI-connected ERP
• automation
• gross margins
• team sustainability
• CoolantClear
• operational efficiency

Mentioned in this episode

Organizations: Develop, HubSpot, Shopify, LinkedIn, YouTube, QuickBooks, Gmail, SMT

Products: CoolantClear

Places: local trade school

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