What does Industrial Engineer AI do?

Industrial Engineer AI (IE.ai) is a tool-agnostic AI integrator that builds custom AI systems for manufacturing, logistics, warehousing, and operations teams. We connect your WMS, ERP, TMS, and shop floor data into a unified intelligence layer, eliminate waste, and stop defects before they reach your P&L. Founded by Mike Sanders, a principal industrial engineer with 21+ years of floor experience.

Mike Sanders is the founder and principal industrial engineer at Industrial Engineer AI. He holds a B.S. in Industrial Engineering from the University of Dayton and has 21+ years of operations experience at DP World and Sunland Logistics, engineering $2M+ in annual savings across 4M+ sq. ft. of warehouse operations. He is a certified AI instructor for the Institute of Industrial and Systems Engineers (IISE).

HATZ is IE.ai's private AI platform for any professional or team. It provides access to 100+ AI models in a dedicated private workspace, no-code agents, workflow automation, and native integrations. Plans start from $15/month for individuals (Student) and $50/user/month for teams. Personal onboarding is included within 48 hours of signup.

TURBO is IE.ai's operations intelligence layer that connects your WMS, ERP, TMS, and shop floor data into a single operational brain. It delivers live dashboards, at-risk order alerts, constraint-based scheduling, and auto inventory reconciliation. Builds start from $7,500 with ongoing support from $1,000/month.

How long does an IE.ai deployment take?

IE.ai deploys in weeks, not months. The first integration starts from $7,500 and is deployed on a fixed fee. Additional system integrations are $2,500 each. We do not do year-long builds — we solve problems fast and stay until it works.

What industries does Industrial Engineer AI serve?

Industrial Engineer AI serves manufacturing, 3PL and warehousing, distribution, food and beverage, healthcare, automotive, retail and e-commerce, construction, pharma and life sciences, energy and utilities, and property management. We build custom AI systems for any operation.

Does Industrial Engineer AI work with SAP, Oracle, or NetSuite?

Yes. Industrial Engineer AI integrates with SAP, Oracle, Manhattan Associates, Blue Yonder, NetSuite, Infor, Microsoft Business Central, Dynamics 365, Salesforce, QuickBooks, Epicor, HighJump, and Fishbowl, among others. We are tool-agnostic and build the integration layer on top of your existing systems.

What is the DMEDI framework?

DMEDI stands for Define, Measure, Explore, Develop, Implement — a Six Sigma-derived design methodology used by Industrial Engineer AI to structure every AI deployment. It ensures each AI use case is grounded in measurable operational data before any code is written.

What is a fractional industrial engineer?

A fractional industrial engineer is a senior IE professional embedded in your operation on a part-time or project basis, delivering VP-level engineering expertise without the full-time cost. Industrial Engineer AI offers fractional engineering services that include process analysis, AI system design, and hands-on implementation.

AI GeneratedAI & TECHNOLOGYInsight

$1T Lost Annually to Poor Brain Health—AI Can’t Fix This Gap Alone

Jul 24, 2026

Adversarial AI Pipeline

Key Takeaway

Organizations lose $1 trillion annually in productivity from 12 billion working days lost to mental health challenges—yet investing in brain health delivers measurable ROI by protecting the human capabilities AI can’t replicate: judgment, creativity, and resilience. Without healthy brains, AI’s promised productivity gains won’t materialize.

Our Take— Mike Sanders, Founder

“We see brain health as an operational bottleneck: if cognitive load increases while recovery time shrinks, defect rates, decision fatigue, and turnover rise—directly hitting P&L. A 10% reduction in mental health–related absenteeism alone saves $100M annually for a 50,000-employee org.”

$1T Lost Annually to Poor Brain Health—AI Can’t Fix This Gap Alone

From the Source

""Technology is promising productivity gains, but if we don't have healthy and adaptable human brains, the gains are not going to be realized or materialized.""

— Brain Health: Helping Individuals, Organizations, and Societies Thrive in the Age of AI

Key Takeaways

0112 billion working days lost yearly to mental health = ~$1T in global productivity losses (McKinsey estimate)
023 in 4 jobs will be fundamentally changed by AI—increasing cognitive load, not reducing it
03High-stakes work without recovery time erodes performance and increases error risk
04Brain health is an underinvested form of capital with proven ROI—on par with physical or digital infrastructure
05Future competitiveness depends on ‘brain capital’: the uniquely human skills AI augments but cannot replace