About Us – agentimpact.ai

Manufacturing AI Discovery Led by Operations Expertise

Agent Impact specializes in rapid AI opportunity discovery for mid-market manufacturers who need to identify profitable automation projects. We replace expensive consulting engagements with fast, focused assessments that deliver actionable results.

Years Experience

15+

Years of Manufacturing Operations Experience

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Use Cases

111

Documented Manufacturing AI Opportunities

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ROI Timeline

3-6

Month Return on Investment Projects

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Fast Discovery Process

Replace 6-week, $50K+ consulting discoveries with 20-minute AI-powered assessments that deliver immediate value.

Operational Excellence

Led by former Plant Manager with 15+ years hands-on experience and P.Eng credentials in operational improvements.

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Rapid Implementation

Focus on 3-6 month ROI projects with 111 documented use cases from real manufacturing assessments.

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Led by Manufacturing Operations Expert

Daryl Mather, P.Eng & Former Plant Manager with proven operational expertise

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Frequently Asked Questions

Common questions about our manufacturing AI discovery process

How is this different from traditional consulting?

We replace 6-week, $50K+ consulting discoveries with 20-minute AI-powered assessments. Our approach focuses on rapid opportunity identification rather than comprehensive transformation, delivering actionable results in days, not weeks.

What makes your manufacturing expertise unique?

Led by Daryl Mather, a P.Eng and former Plant Manager with 15+ years of hands-on operational experience. Unlike generic consultants, we understand OEE, changeover optimization, and real manufacturing challenges from the plant floor.

What kind of ROI can we expect?

We focus on projects delivering 3-6 month ROI rather than million-dollar transformations. Our 111 documented use cases show opportunities ranging from 15-40% improvements in OEE, energy costs, and operational efficiency.

How does the 20-minute assessment work?

Our structured voice-guided interview covers your operations, challenges, and improvement goals. AI-powered analysis then identifies specific opportunities for OEE improvements, downtime reduction, and quality enhancements with prioritized implementation roadmaps.