Most legacy modernizations fail because nobody fully understands what the old system actually does. We reverse-engineer your legacy system\'s business logic, data flows, and integrations -- creating documentation that probably never existed. Denver and the Front Range corridor are home to the densest concentration of aerospace and space manufacturing in the country outside of the Puget Sound. Lockheed Martin's Waterton facility builds missile systems and space vehicles. Ball Aerospace in Boulder produces satellite systems and imaging instruments. Raytheon's Aurora facility develops missile defense components under ITAR controls that restrict which cloud platforms and software vendors they can use. The Anschutz Medical Campus has spawned a biotech manufacturing cluster where Terumo BCT and dozens of smaller device firms operate under FDA 21 CFR requirements that create their own digital transformation friction.
Denver's aerospace manufacturers are caught between ITAR's cloud restrictions and the operational reality that modern supply chain management requires cloud connectivity — navigating that tension is the defining DT challenge for Colorado's defense manufacturers.
Reverse-engineer business rules from running code -- pricing logic, order workflows, allocation rules, and approval chains. Document what the system actually does, not what someone thinks it does.
Map every table, field, relationship, and data flow. Identify master data, transactional data, and the transformations between them.
Discover and document every integration -- file transfers, API calls, database links, email triggers, and manual handoffs. Nothing gets missed during migration.
Identify upstream and downstream dependencies -- which systems feed data in, which systems consume data out, and what breaks if something changes.
Catalog customizations, workarounds, dead code, and technical debt. Distinguish between logic that must be preserved and logic that can be retired.
Deliver a structured, searchable knowledge base -- not a 500-page PDF. Living documentation that your team and vendors can reference throughout the modernization.
Interview power users, IT staff, and business process owners. Capture tribal knowledge before it disappears.
Analyze source code, database schemas, and configuration files. Automated tools plus manual review for complex business logic.
Trace data from entry point through every transformation to output. Map the complete lifecycle of critical business objects (orders, inventory, customers).
Scan for file transfers, scheduled jobs, API calls, and database connections. Verify each integration with source and target system owners.
Compile findings into a structured knowledge base with business process maps, data dictionaries, integration catalogs, and risk assessments.
System Assessment & Documentation for Denver aerospace & defense operations - configured around local workflows, data ownership, and implementation governance.
System Assessment & Documentation for Denver medical devices operations - configured around local workflows, data ownership, and implementation governance.
System Assessment & Documentation for Denver food & beverage operations - configured around local workflows, data ownership, and implementation governance.
System Assessment & Documentation for Denver electronics operations - configured around local workflows, data ownership, and implementation governance.
System Assessment & Documentation for Denver technology & software operations - configured around local workflows, data ownership, and implementation governance.
System Assessment & Documentation for Denver financial services operations - configured around local workflows, data ownership, and implementation governance.
Typically 4-8 weeks depending on system complexity. An AS/400 with 20 years of customization takes longer than a 5-year-old packaged ERP. We scope the assessment based on the system and your modernization goals.
We can work from the running system -- tracing data flows, testing scenarios, and observing behavior. Source code accelerates the process, but we have methods for black-box analysis when code isn\'t available.
Especially if you\'re replacing the entire system. The #1 cause of failed migrations is discovering critical business logic mid-project that wasn\'t accounted for. Assessment prevents that.
Yes. We deliver structured documentation you own -- business process maps, data dictionaries, integration catalogs, and risk assessments. If you want to use the assessment output to guide implementation, it\'s yours.
Most manufacturers are still running workflows that require a person to touch every exception, every order, every routing decision. AI agents eliminate that bottleneck — not by replacing your people, but by handling the work that was always below their pay grade.
Most manufacturers forecast demand with spreadsheets, gut feel, and last year's numbers adjusted by 5%. ML models trained on your actual order history, seasonality patterns, and market signals replace guesswork with predictions your planning team can act on.
Odoo Maintenance captures work orders, failure reasons, repair times, and equipment history. We build AI models on top of that data to identify failure patterns and recommend maintenance windows before breakdowns occur — no new hardware, no IoT infrastructure required.
Odoo Quality captures inspection results, non-conformances, scrap reasons, and lot traceability across every production order. We build AI models on top of that data to surface defect patterns, predict quality risk, and trigger alerts before scrap accumulates — no cameras, no hardware.
Most manufacturers price by cost-plus formula or by whatever the sales rep negotiated last time. AI pricing models factor in material costs, competitive positioning, customer segment, order size, inventory position, and market conditions — governed by business rules so every price stays within approved boundaries.
When an order hits your system, someone decides which warehouse ships it — usually based on habit, proximity, or whoever answered the phone. AI order routing makes that decision in real time, optimizing across inventory availability, shipping cost, delivery speed, and warehouse workload.
Manufacturers still process thousands of POs, invoices, RFQs, spec sheets, and BOLs manually — reading PDFs, retyping data into the ERP, and fixing the errors that come with it. Document intelligence extracts structured data from unstructured documents automatically, with validation rules that catch errors before they enter your systems.
Your dealers call or email to check stock before placing orders because they can't see what's available. We give them live ATP visibility across all your warehouses — available, allocated, in-transit, and expected replenishment dates — straight from your ERP and WMS.
We govern cloud migration in phases — every dependency mapped, every workload sequenced, every cutover window defined. Zero-downtime migration for manufacturers who can't afford an outage.
Most manufacturing AI projects die in the pilot phase. We deploy AI that integrates into your actual workflows -- demand forecasting, predictive maintenance, pricing optimization, and intelligent routing -- governed by operational data contracts.
Your demand planning process runs on last year\u2019s sales adjusted by a gut-feel percentage. ML models trained on your actual order history, seasonal patterns, and market signals produce forecasts that are measurably more accurate \u2014 and they improve automatically as more data accumulates.
Your legacy system holds critical data that modern applications need -- but it has no APIs, no webhooks, and no modern integration points. We build a REST/GraphQL API layer on top of your legacy system so new applications can access data without touching the core.
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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