We automate order routing, inventory allocation, approvals, and document generation -- eliminating the manual work that slows your operation and creates errors. Austin is where engineering culture meets business scale. Tesla Gigafactory, Samsung's $17B chip fab, a booming tech sector, and one of the fastest-growing business markets in the country. Austin businesses demand AI systems built to engineering standards — not chatbots, not SaaS features. Custom AI agents that operate inside complex business processes, trained on your data, and owned by you permanently.
Austin businesses are tech-native and engineering-literate. They recognize the difference between an AI chatbot bolted onto a SaaS platform and a custom AI system built for their specific operation.
Automate order capture from EDI, email, portal, and phone channels into your ERP. Validation rules catch errors before they become shipment problems.
Match POs to invoices automatically, route exceptions for approval, and eliminate manual three-way matching. Reduce days payable outstanding and capture early-pay discounts.
Rules-based inventory allocation across warehouses, channels, and customer tiers. Replace spreadsheet-based allocation with governed, auditable logic.
Digital approval workflows with role-based routing, escalation rules, and SLA tracking. Every decision is logged and auditable.
Auto-generate quotes, sales orders, pick tickets, BOLs, and invoices from ERP data. Branded, accurate, and delivered to the right channel automatically.
Automated exception detection and routing -- backorders, pricing mismatches, credit holds, and shipping delays surfaced to the right person immediately.
Document current-state workflows with swim lanes, handoff points, cycle times, and error rates. Identify the top automation candidates by ROI.
Design target-state automated workflows with business rules, exception handling, and integration points. Define governance and monitoring requirements.
Implement automations connecting your ERP, WMS, CRM, and communication systems. Iterative delivery with testing at each milestone.
End-to-end testing with real transaction data. Validate happy paths and exception paths. User acceptance before go-live.
Phased rollout with KPI dashboards tracking automation rates, error reduction, and cycle time improvements. Tune rules based on real production data.
Business Process Automation for Austin technology & saas operations - configured around local workflows, data ownership, and implementation governance.
Business Process Automation for Austin clean energy operations - configured around local workflows, data ownership, and implementation governance.
Business Process Automation for Austin healthcare & life sciences operations - configured around local workflows, data ownership, and implementation governance.
Business Process Automation for Austin semiconductor & electronics operations - configured around local workflows, data ownership, and implementation governance.
Business Process Automation for Austin construction & development operations - configured around local workflows, data ownership, and implementation governance.
Business Process Automation for Austin distribution & logistics operations - configured around local workflows, data ownership, and implementation governance.
Any structured, repeatable process: order entry, invoicing, inventory allocation, purchase orders, approval workflows, shipping notifications, quality checks, and reporting. If it has rules and inputs, it can be automated.
No. We build automation around your existing systems -- ERP, WMS, CRM, email, and even spreadsheets. Automation often delivers ROI faster than an ERP replacement and can be a stepping stone to one.
Typical manufacturing process automation delivers 40-70% reduction in manual touchpoints and 2-5x faster cycle times. Most engagements pay for themselves within 6 months through labor reallocation and error reduction.
Every automation includes exception handling rules. When the automation can\u2019t resolve an issue, it routes to the right person with full context -- no silent failures, no lost orders.
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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