What leaders see
Promising pilots that do not change daily work.
Teams test tools, get useful output, and still copy results into spreadsheets, tickets, emails, or ERP screens by hand.
Services
Business Decisions · Data
Turn scattered data into decisions people can trust.
The business already has information about customers, orders, inventory, finance, fulfillment, and service. We connect and govern it so people can see what is happening, understand why, and act without rebuilding the answer by hand.
01
The Problem
Leaders cannot manage what teams cannot see clearly.
The problem is rarely that the model cannot generate an answer. The real problem is that the data, permissions, exception rules, and action boundaries are not governed well enough for AI to affect production work.
What is actually happening
The automation cannot reach the operating record.
Source data, permissions, business rules, exception handling, and audit trails are not clean enough for the system to take action.
What gets worse
Automation scales uncertainty.
Bad inputs move faster, decisions become harder to trace, and teams lose confidence before AI becomes operationally useful.
02
What Changes
What this work should improve.
The business already has information about customers, orders, inventory, finance, fulfillment, and service. We connect and govern it so people can see what is happening, understand why, and act without rebuilding the answer by hand.
01
Data Warehouse & Integration
Centralize data from ERP, WMS, CRM, finance, commerce, service, and other business systems into a cloud data warehouse. Automated pipelines keep data fresh and consistent.
Related service02
Executive Dashboards
Real-time dashboards for revenue, margin, inventory turns, on-time delivery, and production throughput. Accessible on any device, updated automatically.
Related service03
Operations Analytics
Connect order, inventory, fulfillment, service, finance, exception, and customer-workflow data so leaders can identify delays, leakage, and capacity constraints.
Related service04
Demand Forecasting
Machine learning models trained on your historical data to forecast demand by product, customer, and channel. Reduce stockouts and overstock simultaneously.
Related service05
Inventory Optimization
Analytics-driven safety stock calculations, reorder points, and ABC classification. Reduce carrying costs while maintaining service levels.
Related service06
Self-Service Reporting
Empower your team to build their own reports and explore data without IT involvement. Governed data models ensure consistency across all reports.
Related service03
How It Fits Your Operations
Where this work touches your business.
Intelligence layerWhich decisions can be automated, which need review, and which should stay human-owned.
Governance dependencyThe agent needs governed inputs, clear action boundaries, and audit logging before it can touch production workflows.
Data the model must trust
ERP history
exception queues
pricing rules
quality records
fulfillment events
What Launchpad captures before Metrotechs scopes delivery
- Which system owns the record of truth.
- Where manual work or reconciliation enters the workflow.
- Which integrations, rules, or data cleanup have to come first.
Bring the problem into Launchpad
Build the Roadmap before you build the solution.
Launchpad documents what is wrong, captures what your team knows, and connects this service to the business outcome it needs to improve.
Built around the people, processes, records, and decisions that make the business work.
Measured by what becomes easier, clearer, safer, or more reliable after launch.
04
Delivery sequence
How the work moves from problem to measurable change.
The business already has information about customers, orders, inventory, finance, fulfillment, and service. We connect and govern it so people can see what is happening,.
01
Data Audit
Inventory all data sources, assess quality, and map relationships. Identify gaps and define the metrics that matter most to your operation.
02
Architecture & ETL
Design the data warehouse schema and build automated data pipelines. Cloud-based with incremental refresh for near-real-time analytics.
03
Dashboard Development
Build executive and operational dashboards in Power BI, Tableau, or Looker. Iterative design with stakeholder feedback at every round.
04
Advanced Analytics
Deploy forecasting models, anomaly detection, and optimization algorithms. Validate predictions against historical data before production use.
05
Training & Handoff
Train your team on dashboards, self-service reporting, and data interpretation. Full documentation and ongoing support.
05
FAQ
Questions that usually decide the scope.
Straight answers to what operators ask before committing budget to this work.
Power BI, Tableau, Looker, and custom-built dashboards. We recommend based on your existing Microsoft/Google ecosystem, team size, and budget. Power BI is the most common choice for operators already on Microsoft.