The gap is never the AI model. It is always the data — stale exports, manual bridges, systems that don't talk to each other, agents answering from a fraction of operational reality. Magic Americas is the only company in the Americas that closes every gap in that foundation, from the PLC tag to the AI agent, under one relationship with no handoffs.
$366B
industrial AI market by 2032
200%
average AI ROI in manufacturing
20–30%
productivity gains in AI-ready plants
Every ERP vendor is shipping AI. None of them build the connected, real-time data foundation that AI needs to answer reliably. That is the work we do — and we do it end to end.
Before any technology is sold, we qualify the opportunity honestly. Our IT/OT AI Readiness Assessment scores where your data actually stands — and what it takes to make AI trustworthy.
We operate on both sides of the wall most vendors live on only one side of — wiring the physical shop floor to the enterprise systems and the AI agents that act on them.
We build the AI on top of the data layer we create — custom models, GenAI apps, and ML pipelines — and we stay to run it. One company. Every layer. No external vendor risk.
The problem is not that AI doesn't work. The problem is that AI is being deployed into operations where the data foundation doesn't exist. AI recommendations die in copy-paste handoffs. Agents answer from stale exports instead of live reality.
You don't need another AI model. You need the connected, real-time, AI-ready data layer that every model quietly assumes is already there — and almost never is.
78%
of industrial operators exploring AI are not ready to deploy at scale
78%
of manufacturers still automate less than half of critical data transfers
40%
of operational reality is all most AI agents can actually see today
#1
data quality now ranks above AI itself as the top investment priority
Each one on its own creates demand for connected, intelligent operations. Together, they create a once-in-a-generation market window — and every one of them points at the same missing foundation.
01
98% of industrial operators are exploring AI. Only 20% are ready to deploy at scale. That readiness gap is the whole opportunity — and it is a data problem, not a model problem.
02
The market has moved from AI dashboards to AI agents that act — triggering work orders, resequencing production, updating ERP without human routing. Agents need live operational data.
03
Manufacturers reshoring production cannot do it profitably without automation. US labor is only competitive with connected, intelligent operations across the full stack.
04
Millions of manufacturing jobs face retirement-driven vacancy, with institutional knowledge walking out the door. AI-guided workflows and connected systems are the only scalable answer.
05
Most manufacturers automate less than half of critical data transfers. The foundation has to come before the intelligence — and it is now the top-ranked investment priority.
92%
of operators say operational AI now drives competitiveness — up from 86% in 2019. The market is not waiting.
Most vendors live on one side of this wall. We operate on both — and we build the connection between them. That is the bridge AI has to cross to reach the data that actually runs your business.
OT
Operational Technology
Runs the floor
xpi
The Bridge
100+
connectors
Any ERP
Any AI model
IT
Information Technology
Runs the business
From the physical sensor to the trained production model, every layer AI needs is delivered by one company — with no subcontractors and no external vendor risk in between.
ISA-95 tag modeling, MES strategy, and OT readiness assessed in one engagement. The honest scorecard that qualifies the opportunity before any technology is sold.
100+ connectors across ERP, CRM, WMS, HR, finance, and every OT platform. Workflow orchestration and AI-ready data routing — any system to any system, on-prem or cloud.
FactoryEye surfaces floor data in ERP context — OEE mapped to job orders, costs, and delivery risk. SmartUX builds the role-based apps that put it in operators' hands.
Gives AI agents secure, real-time access to the complete connected landscape — ERP, CRM, WMS, OT, and analytics — so they can reason across all of it at once.
CSIA-certified PLC, SCADA, robotics, and functional safety across Ignition, Rockwell, AVEVA, Siemens, and Omron. We commission the physical layer that makes data exist.
We build AI on the data layer we create — custom models, GenAI apps, and ML pipelines — plus the IT staffing and managed services that keep operations running after go-live.
We sell outcomes, not capabilities. Each one maps to a real operational problem — and each delivered outcome opens the door to the next.
One operational truth. Every system connected into a single, real-time source of data — the foundation everything else is built on.
Workflow automation across order-to-cash, exception handling, and EDI — now augmented with AI for the cognitive steps that used to need a human.
Floor data surfaced in ERP context — OEE, costs, and delivery risk in one cross-system view no single-vendor tool can provide.
A secure, real-time data access layer that lets any AI model or agent reason across your whole landscape — the entry motion for the full stack.
Bespoke AI built on the data foundation we create — custom models, GenAI applications, and ML pipelines, delivered and maintained in-house.
Real job cost captured between the MES and the ERP, giving AI the financial ground truth it needs — the question every operational model eventually asks.
Before a single line of AI is built, our IT/OT AI Readiness Assessment scores where you actually stand across five areas — and maps every finding directly to a fix. No handoffs. No unknowns.
Every gap we find leads somewhere: an OT data gap, an integration gap, an AI access gap, a process gap. Each one connects to a specific capability and a clear roadmap to close it.
What systems exist vs. what's actually connected. Where data lives that AI can't reach — shop floor, WMS, EDI, SCADA — and the manual processes creating silent gaps.
ERP data hygiene — item masters, BOMs, routings. Integration reliability, sync accuracy, and the silent failures and exception rates that quietly poison AI output.
Which processes are standardized vs. tribal knowledge. Where exception handling is manual, and whether workflows produce a reliable signal AI can act on.
Use cases prioritized by data availability, process clarity, ROI potential, and implementation risk — benchmarked against your real ERP data quality and floor connectivity.
OT network topology, cloud vs. on-prem posture, data residency, access controls, and API availability for the AI agents that will act on your systems.
From the first assessment to long-term expansion, you work with one team that owns every layer of the stack — no subcontractor handoffs, no finger pointing.
IT/OT AI Readiness Assessment. Floor walk, current-state map, AI use-case scoring, and a business case. This is always stage one.
Integration platform deployed. Every system connected. MCP gives AI agents secure, real-time data access — ERP-agnostic.
FactoryEye and SmartUX build the unified, cross-system view that no single-vendor tool can offer. AI sees the full picture.
PLC/SCADA programming, robotics commissioning, and machine safety certification. The physical data layer goes live.
IT staffing, managed services, and help desk. The infrastructure we build stays operational — we own continuity.
New use cases, AI models, and sector expansion. As needs grow beyond the core, we remain the account owner and the single point of accountability.
Strategy, OT engineering, integration, in-house AI development, and the people to deliver and sustain all of it — under one relationship. Let's map your data foundation and the AI it can support.
