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
AI & Machine Learning · Document Intelligence
Stop paying people to type numbers from one system into another.
Operationally complex businesses 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.
01
The Problem
Manual Data Entry That Shouldn't Still Exist
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.
Operationally complex businesses 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.
01
Purchase Order Extraction
Automatically extract line items, quantities, pricing, ship-to addresses, and terms from incoming POs in any format — PDF, email, fax image, EDI. Validate against your item master and pricing rules before entry.
02
Invoice Processing
Extract vendor, line items, amounts, PO references, and payment terms from supplier invoices. Three-way match against PO and receipt automatically. Route exceptions for review instead of manually matching every invoice.
03
RFQ & Spec Sheet Parsing
Extract technical requirements, material specifications, quantities, and tolerances from RFQs and engineering drawings. Structure the data so your estimating team starts with a populated template instead of a blank screen.
04
BOL & Shipping Document Processing
Extract shipment data from bills of lading, packing slips, and carrier documents. Automatically reconcile against expected shipments and flag discrepancies.
05
Multi-Format & Multi-Language
Handle PDFs, scanned images, email bodies, Excel attachments, and handwritten forms. Support for multi-language documents common in international supply chains.
06
ERP Auto-Entry with Validation
Extracted data flows into your ERP with configurable validation rules — item number verification, price tolerance checks, quantity limits, and customer account validation. Errors are caught before entry, not after.
03
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.
Operationally complex businesses still process thousands of POs, invoices, RFQs, spec sheets, and BOLs manually — reading PDFs, retyping data into the ERP, and fixing the errors.
01
Document Workflow Audit
Inventory all document types processed manually — POs, invoices, RFQs, BOLs, spec sheets. Quantify volume, error rates, processing time, and cost per document. Prioritize by ROI.
02
Template & Model Training
Configure extraction templates for your most common document formats and train models on your specific document variations. Each supplier and customer may format documents differently — the model handles it.
03
Validation Rules & Business Logic
Define the validation rules that catch errors before data enters your ERP — item master lookup, price tolerance, quantity checks, customer/vendor verification, and duplicate detection.
04
ERP Integration & Routing
Connect extraction outputs to your ERP's order entry, AP, or purchasing modules. Configure exception routing for low-confidence extractions or validation failures.
05
Production & Accuracy Improvement
Deploy with accuracy tracking, exception dashboards, and continuous model updates. Extraction accuracy improves as the model processes more of your specific document formats.
05
FAQ
Questions that usually decide the scope.
Straight answers to what operators ask before committing budget to this work.
PDF (native and scanned), email bodies, Excel/CSV attachments, TIFF/JPG images (including fax), Word documents, and EDI. If your team currently reads it and types data from it, we can automate the extraction.