ERP go-live is the highest-risk moment in the entire implementation. Orders are in flight, inventory is moving, and you're switching the system that governs all of it. We structure the cutover with rollback plans, validation gates, and hypercare support so your operation doesn't skip a beat. Houston is one of the most operationally complex business markets in the United States. The energy corridor, the Port of Houston, the Texas Medical Center, and a massive industrial supply chain ecosystem all converge here. Metrotechs builds custom AI agents and AI systems for Houston businesses with high-volume operations — pricing agents, demand forecasting, fulfillment AI, exception resolution, and operational intelligence. Deployed in your infrastructure. Owned by you.
Houston energy sector transactions average $47,000 per order — 5x the national average. High-value, high-complexity decisions are exactly where AI agents produce the greatest ROI.
Detailed cutover schedule with task owners, timing, dependencies, and decision points. Every step sequenced and rehearsed before the actual go-live weekend.
Documented rollback plan with clear triggers — if specific go/no-go criteria aren't met, the operation reverts to the previous system without data loss or order disruption.
Run the old and new systems simultaneously with real transactions. Reconcile results across orders, inventory, and financials to validate accuracy before cutover.
Business users — not IT — test the configured system against real scenarios from their daily work. CSRs enter orders, warehouse staff receive inventory, finance closes a period. Sign-off comes from the people who use it.
Defined criteria for the go-live decision: data migration accuracy, integration health, user readiness scores, and open issue severity. The decision is made against objective thresholds, not optimistic schedules.
30/60/90-day post-go-live support with dedicated resources. Rapid response for production issues, daily check-ins during the first two weeks, and weekly reviews through stabilization.
Rehearse the full cutover sequence in a test environment. Time every step, identify bottlenecks, and refine the plan. Nothing happens on go-live day that hasn't been practiced.
Structured UAT with test scripts based on real business scenarios. Each department tests their workflows and signs off before go-live is scheduled.
Formal review of readiness criteria — data accuracy, integration health, user training completion, open issue resolution. Go-live proceeds only when all criteria are met.
Execute the cutover plan with real-time monitoring and communication. Status updates to all stakeholders at each milestone. Rollback triggers active if needed.
Dedicated support team for 90 days post-go-live. Daily standups during the first two weeks, then weekly reviews. KPI monitoring against pre-go-live baselines.
ERP Go-Live Governance for Houston energy & petrochemical operations - configured around local workflows, data ownership, and implementation governance.
ERP Go-Live Governance for Houston port & logistics operations - configured around local workflows, data ownership, and implementation governance.
ERP Go-Live Governance for Houston healthcare & medical operations - configured around local workflows, data ownership, and implementation governance.
ERP Go-Live Governance for Houston construction & engineering operations - configured around local workflows, data ownership, and implementation governance.
ERP Go-Live Governance for Houston distribution & wholesale operations - configured around local workflows, data ownership, and implementation governance.
ERP Go-Live Governance for Houston financial & professional services operations - configured around local workflows, data ownership, and implementation governance.
It depends on your system interdependencies. If your ERP modules are tightly coupled, a phased approach creates complex interim states. We recommend the approach that minimizes total operational risk — often a well-rehearsed big-bang cutover with robust rollback.
Minimum 2 weeks for core transactions (orders, receipts, shipments, invoicing). Longer for complex financial processes. The parallel run must cover at least one complete business cycle to validate all scenarios.
If go/no-go criteria aren't met, or if critical issues emerge during cutover, the rollback plan activates. The operation reverts to the previous system while issues are resolved. This is why we rehearse the rollback, not just the cutover.
Dedicated support resources, daily check-ins (first 2 weeks), priority issue resolution, KPI monitoring, configuration tuning, and user coaching. Hypercare runs 30/60/90 days depending on scope and complexity.
ERP projects fail more often than they succeed. Not because the software is bad, but because the selection and implementation process is vendor-led instead of operations-led. Here's what good looks like before you sign anything.
Odoo covers most manufacturing operations natively. But every operation has workflows where the standard modules fall short. We map your BOMs, pricing logic, warehouse complexity, and dealer channels against Odoo's capabilities — so you go into implementation with a realistic scope, not surprises at month three.
Every failed ERP implementation has one thing in common: they migrated 20 years of bad data into a new system and expected different results. We cleanse, validate, and migrate master data with gates at every stage — so your new ERP starts with data you can trust.
Odoo doesn't run in isolation. It connects to WMS, CRM, M2B Commerce, EDI, shipping, banking, and legacy systems — all hosted and managed on AWS. Without governed integration architecture, those connections become a fragile web of point-to-point scripts that break every time something changes.
Odoo covers most manufacturing operations without a line of custom code. But when your workflows genuinely require it, we build Python custom modules — documented, tested, and upgrade-safe. We don't bolt code onto standard modules. We extend Odoo the right way.
Go-live is not the finish line — it's where the real optimization begins. Edge cases surface, users discover workarounds, and the configuration that worked in testing meets production reality. We monitor, tune, and optimize your ERP through the first 90 days and beyond so performance improves, not degrades.
The scariest moment in any migration is the cutover. We eliminate that fear by running old and new systems in parallel with automated reconciliation -- you switch over only when the new system has proven it produces the same results as the old one.
Big-bang migrations fail because they try to replace everything simultaneously. We decompose your legacy system into modules and replace them one at a time -- each phase is self-contained, tested, and reversible. Your operation never stops.
Most Odoo projects start with modules. Ours start with operational mapping. We define data contracts, integration boundaries, and go-live governance before a single module is configured.
When standard Odoo modules don't fit your manufacturing workflows, we build custom modules that extend Odoo without creating upgrade-blocking technical debt. Every custom module follows Odoo's ORM patterns and is designed to survive version upgrades.
Standard Odoo covers 80% of manufacturing needs. We close the remaining 20% with targeted customizations — module configuration, workflow adjustments, custom fields, and UI tailoring — without creating technical debt.
Odoo is rarely the only system on your floor. We integrate it with your WMS, CRM, e-commerce platform, EDI partners, shipping carriers, and legacy systems — governed by data contracts that prevent sync failures and data drift.
Metrotechs starts with the operating questions: which records are trusted, which workflows are manual, which systems own each decision, and where AI can safely improve throughput.
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