Order-to-Door™ Governance
Manufacturing operations team reviewing ERP, cloud, data, and AI dashboards
Manufacturing systems ownership

ERP on Your Cloud - AI on Your Data

Metrotechs helps manufacturers run ERP in a cloud environment they control, build reliable operational data foundations, and deploy AI workflows grounded in governed operational data.

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ERP
system-of-record ownership on your cloud
Cloud
hosting, backups, security, and control in your cloud
Data
clean operational truth before automation
AI
agents and models built on trusted records
What Metrotechs does

We help manufacturers own the stack AI depends on.

Metrotechs is a service provider for mid-market manufacturers that need ERP, cloud, data, and AI work to line up around business ownership instead of vendor sprawl.

Most engagements start with one painful system question, then expand into the dependencies around it: who owns the data, where the ERP runs, how integrations move truth, and whether the records are clean enough for AI to trust.

Order-to-Door Governance means governing the systems that move work from order capture to ERP, fulfillment, reporting, and AI.

When teams bring us in
ERP is too important to leave as another black-box system.
Spreadsheets, ERP, operational data, and reporting do not agree.
The business wants more control over hosting, backups, data, and support.
AI is on the roadmap, but the operational data is not clean enough yet.
How engagements work

We start with ownership, then build the AI-ready stack around it.

ERP work, cloud work, data cleanup, automation, and AI usually overlap. Metrotechs keeps the sequence practical so each layer is owned, governed, and useful to the next one.

Ownership

Decide what the business should control

Start with ERP fit, cloud control, data ownership, workflow pain, and the business result the project has to produce.

ERP Fit AnalysisSystem Assessment & Documentation
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Foundation

Put ERP on a cloud foundation

Implement the ERP, host the environment, migrate the data, and create the integration foundation before adding automation.

ERP Selection & ImplementationCloud Hosting & InfrastructureData Migration & Validation
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Truth

Clean and connect the records

Move order, procurement, approval, reporting, and exception workflows into governed systems instead of inboxes and spreadsheet handoffs.

Data Warehouse & IntegrationBusiness Process AutomationProcurement Automation
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Intelligence

Deploy AI where the records are trusted

Apply forecasting, agents, quality, maintenance, routing, and pricing models only where governed operational records can support them.

AI Agents & Agentic PlatformsAI Demand ForecastingAI Predictive Maintenance
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Start points

Free assessments mapped to the ownership questions people ask first.

Route visitors into the right first conversation: ERP fit, cloud hosting and cost review, or whether the data foundation is ready for AI.

Odoo Fit

Odoo fit assessment

We map your current systems and data to a concrete Odoo implementation plan - scope, modules, and migration path.

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AWS Review

Odoo-on-AWS hosting & cost review

We review your architecture, backups, security, and monthly spend, and show you what to right-size.

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AI Readiness

AI-readiness / data assessment

We review your operational data and find the AI use cases you can pilot first.

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Local coverage

We serve manufacturers nationally.

Local pages connect ERP on your cloud, cloud hosting, AI-ready data, and operational services to state and metro searches for manufacturers across the United States.

50
states
294
metros
Browse locations
Recent intelligence

Operational context for better ownership decisions

Briefings on ERP ownership, cloud architecture, clean manufacturing data, and AI patterns that shape implementation decisions.

All articles ->
98% of Manufacturers Are Exploring AI. Only 20% Can Actually Scale It.
AI & Data Readiness
4 min

98% of Manufacturers Are Exploring AI. Only 20% Can Actually Scale It.

A January 2026 survey by Redwood Software found that while nearly every manufacturer is experimenting with AI and automation, only 20% are operationally prepared to scale it. This article examines the execution gap revealed by that data — why moving from pilot to production is proving so difficult, what integration…

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Why Manufacturer AI Pilots Stall Before Production — And What It Takes to Scale Them
AI & Data Readiness
5 min

Why Manufacturer AI Pilots Stall Before Production — And What It Takes to Scale Them

Drawing on McKinsey's December 2025 COO100 Survey and the March 2026 NVIDIA-ABB physical AI announcement, this article examines why manufacturers with serious AI budgets are still struggling to move from proof-of-concept to sustained operational deployment. It covers the specific workloads seeing the most traction…

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Physics vs. Prompts: The Industrial AI Split That Could Cost Manufacturers More Than They Expect
AI & Data Readiness
7 min

Physics vs. Prompts: The Industrial AI Split That Could Cost Manufacturers More Than They Expect

As agentic AI moves from pilot to production across manufacturing and supply chain operations, a technical fault line is widening between physics-based AI systems and LLM-prompt systems. This article explains the practical difference, what it means for production risk, and how manufacturers should evaluate vendor…

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Intuit Says Its Enterprise Suite Can Replace Your ERP. Mid-Market Manufacturers Should Read the Fine Print.
ERP & Business Systems
5 min

Intuit Says Its Enterprise Suite Can Replace Your ERP. Mid-Market Manufacturers Should Read the Fine Print.

Intuit's May 2026 announcement of new features for its Enterprise Suite platform positions the product as an ERP replacement for mid-market businesses managing multiple entities, locations, or projects. This article examines what that claim means for manufacturers specifically — where accounting-first platforms can leg

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