Manufacturing Part 2: Subordinate Strategies
03.31.2026
The “AI Adoption” Series: Where We Are
In Part 1, we defined the Business Strategy: leveraging AI to maximize Asset Utilization (OEE), augment a shrinking labor force, and build supply chain resilience.
Now, we move to the execution layer. A business strategy to “predict machine failure” is useless if your IT department blocks the sensors from talking to the cloud. To drive your strategy, you need Subordinate Strategies—specific, aligned plans for your IT/OT (Technology), Talent (HR), and Operations.
For an SMB manufacturer, these strategies are often where the war is won or lost. You cannot afford the sprawling “Centers of Excellence” that global conglomerates build. You need lean, pragmatic alignment.
The Industry Barrier: The “Air Gap” Mentality
The biggest hurdle for SMB manufacturers is the historical divide between Information Technology (IT) and Operational Technology (OT).
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The Divide: IT manages data, email, and security (focus: Confidentiality). OT manages pumps, presses, and PLCs (focus: Uptime and Safety). Historically, these worlds were kept separate to prevent hackers from touching the machines.
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The Convergence Gap: While 86% of manufacturing leaders believe integrating IT and OT is critical for business outcomes, only 19% classify their security posture for this convergence as “advanced” (Omdia/Telstra).
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The Cost of Failure: This lack of integration leads to unplanned downtime, which is becoming punishingly expensive. For SMBs, the cost of downtime can now exceed $100,000 per hour when accounting for lost revenue and idle labor (ITIC 2024/2026 Reports).
The Strategic Imperative:
You must bridge the gap. Your IT strategy must accommodate the real-time needs of the shop floor, and your OT strategy must accept the security protocols of the boardroom.
1. The Technology Strategy: IT/OT Convergence
You cannot analyze data that is trapped in a PLC (Programmable Logic Controller) from 1998.
The Core Challenge:
Most SMB factories are “brownfield” sites—a mix of brand-new CNCs and 30-year-old stamping presses. The old machines have no Ethernet ports.
The Subordinate Strategy Template:
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Outcome: “A unified network architecture where shop-floor data reaches the cloud securely without exposing machines to the open internet.”
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The Shift: Move from the “Purdue Model” (strict hierarchical layers) to an IIoT Edge Gateway model.
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The Tactic: Do not rip and replace old controls. Install “overlay” sensors (vibration, temperature) and Edge Gateways. These affordable devices ($500-$1,000) physically plug into the machine and transmit data securely to your analytics platform, bypassing the legacy control network entirely.
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Governance Note: This requires IT and OT to agree on a “Demilitarized Zone” (DMZ)—a shared network segment where data is exchanged safely.
2. The Talent Strategy: The “Connected Worker”
The “skills gap” is the defining crisis of our time. You cannot hire enough master machinists to replace the retirees.
- The Stat: The U.S. manufacturing sector faces a shortage of 2.1 million unfilled jobs by 2030 (NAM / Deloitte).
The Core Challenge:
New hires lack the “tribal knowledge” to troubleshoot complex issues by ear or feel.
The Subordinate Strategy Template:
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Outcome: “Use AI to lower the skill floor required to operate complex machinery.”
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The Shift: Move from “Training on the Job” (shadowing a senior tech for 6 months) to “Just-in-Time Guidance.”
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The Tactic: Equip operators with tablets or AR glasses. When a machine throws an error, the AI doesn’t just display a code (e.g., “Error 404”). It displays a video showing exactly which lever to turn. This allows a Year 1 operator to fix problems like a Year 20 veteran.
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Key Metric: Reduction in “Time to Proficiency” for new hires.
3. The Operations Strategy: Digital Standardization
If Shift A runs the machine at 80% speed to “save it,” and Shift B runs it at 100% to “hit quota,” your data is garbage.
The Core Challenge:
AI relies on patterns. Inconsistent human behavior hides those patterns.
The Subordinate Strategy Template:
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Outcome: “Strict digital enforcement of Standard Operating Procedures (SOPs).”
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The Shift: Move from paper binders (which no one reads) to Digital Workflows.
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The Tactic: Before a machine can be started, the operator must complete a digital checklist on a screen. If they skip a safety check or a quality calibration, the machine does not start. This ensures that the data flowing into your AI model is consistent across all shifts.
The Direction: The Augmented Factory
We are moving toward the Augmented Factory, not the “Dark Factory.”
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Current State: Humans serve the machines (loading, unloading, watching).
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Future State: Machines serve the humans (alerting, guiding, predicting).
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The Trend: For SMBs, full automation (robotics everywhere) is often too capital intensive. The winning strategy is Human-Centric AI—giving your existing workforce superpowers rather than trying to replace them.
Next Step: Connecting the Pipes
You have the Strategy (Asset Max / Labor Augmentation) and the Team (IT/OT aligned, Connected Workers).
But where does the data go? How do you get a vibration reading from a 1985 lathe into a 2025 AI model?
In Manufacturing Part 3, we will discuss The Data Foundation. We will cover the “Plumbing” of the factory—Sensors, PLCs, SCADA, and the Unified Namespace (UNS)—that makes AI possible.
Salvatore Magnone is a father, veteran, and a co-founder, a repeat offender in the best way in fact, and a long-time collaborator at DOOR3. Sal builds successful, multinational, technology companies and runs obstacle courses. He teaches business and military strategy at the university level and directly to entrepreneurs and military leaders.
