Process control, reduced losses, and predictable project execution
15x Faster
Specification processing and order launch (powered by AI)
–20–40%
Loss reduction from errors and rework
–30–50%
Faster decision-making time
100%
Orders processed through the system
Custom manufacturing under high load — managed manually
Processes were managed in Excel, decisions were made manually, and control relied on management. Specifications were processed over hours and even days, orders were delayed across stages, and production workload lacked visibility.
Custom manufacturing under high load — managed manually
Processes were managed in Excel, decisions were made manually, and control relied on management. Specifications were processed over hours and even days, orders were delayed across stages, and production workload lacked visibility.
Where manufacturing loses time, money, and control
The issue isn’t capacity — it’s how orders flow across departments
Engineering
Specifications come in different formats — no unified structure or naming standards 👉 Time is wasted on interpretation, and errors carry into production
Production (Shop Floor)
No clear visibility into workload and priorities 👉 Tasks are handled ad hoc, causing downtime and bottlenecks
Warehouse & Procurement
Materials are checked and selected manually 👉 No clear view of stock levels and order requirements 👉 Leads to delays and over-purchasing
Procurement / Tendering
Order and specification data are not standardized 👉 Causes rework, delays, and purchasing errors
Accounting
No transparent tracking of materials by order 👉 Difficult to calculate actual costs and write-offs accurately
Management
Operations rely on manual control and decisions 👉 Slow decision-making 👉 No single source of truth for workload and order status
Where manufacturing loses time, money, and control
The issue isn’t capacity — it’s how orders flow across departments
Engineering
Specifications come in different formats — no unified structure or naming standards 👉 Time is wasted on interpretation, and errors carry into production
Production (Shop Floor)
No clear visibility into workload and priorities 👉 Tasks are handled ad hoc, causing downtime and bottlenecks
Warehouse & Procurement
Materials are checked and selected manually 👉 No clear view of stock levels and order requirements 👉 Leads to delays and over-purchasing
Procurement / Tendering
Order and specification data are not standardized 👉 Causes rework, delays, and purchasing errors
Accounting
No transparent tracking of materials by order 👉 Difficult to calculate actual costs and write-offs accurately
Management
Operations rely on manual control and decisions 👉 Slow decision-making 👉 No single source of truth for workload and order status
A system that turns every order into a structured, manageable process
From specification to delivery — all data, tasks, and decisions are connected in one unified logic, without manual control
Architecture
ERP — controls materials, inventory, procurement, and actual costs CRM — manages orders, clients, and contracts ClickUp — tracks tasks, timelines, and production stages n8n — connects all processes into a single data flow AI agents — eliminate manual specification processing and errors
Order Flow
How an order flows through the system Lead → Technical task → Specification → Approval → Production launch → Procurement → Warehouse → Production → Quality control → Delivery → Finance
Inside the System
What happens inside the system — Orders no longer “jump” between departments — Specifications are standardized into a single structure — Warehouse and production operate on consistent data — Each stage is triggered automatically from the previous one — Management sees workload and status in numbers, not assumptions
A system that turns every order into a structured, manageable process
From specification to delivery — all data, tasks, and decisions are connected in one unified logic, without manual control
Architecture
ERP — controls materials, inventory, procurement, and actual costs CRM — manages orders, clients, and contracts ClickUp — tracks tasks, timelines, and production stages n8n — connects all processes into a single data flow AI agents — eliminate manual specification processing and errors
Order Flow
How an order flows through the system Lead → Technical task → Specification → Approval → Production launch → Procurement → Warehouse → Production → Quality control → Delivery → Finance
Inside the System
What happens inside the system — Orders no longer “jump” between departments — Specifications are standardized into a single structure — Warehouse and production operate on consistent data — Each stage is triggered automatically from the previous one — Management sees workload and status in numbers, not assumptions
Where AI drives exponential speed in production
AI eliminates manual specification processing and reduces errors at the entry point of production We embed AI directly into the workflow — at the stage where most time is lost and most errors occur
AI for Specifications (Key Impact)
Before: Engineers manually: — reviewed specifications — standardized items — matched materials to internal nomenclature — prepared data for production and procurement This could take up to a full day per order
Now with AI: — automatically parses specifications — standardizes items into a unified structure — removes duplicates and errors — generates a ready-to-use structure for ERP and production 👉 Result: Processing time reduced from up to 1 day → 10–30 minutes
At every stage, AI generates a clear, structured checklist: — what needs to be done — what data is required — who is responsible — what the expected outcome is Your team doesn’t waste time figuring things out — they operate within a defined system
👉 Result: — fewer errors and miscommunication — fewer missed steps — faster and more consistent execution
AI eliminates manual specification processing and reduces errors at the entry point of production We embed AI directly into the workflow — at the stage where most time is lost and most errors occur
AI for Specifications (Key Impact)
Before: Engineers manually: — reviewed specifications — standardized items — matched materials to internal nomenclature — prepared data for production and procurement This could take up to a full day per order
Now with AI: — automatically parses specifications — standardizes items into a unified structure — removes duplicates and errors — generates a ready-to-use structure for ERP and production 👉 Result: Processing time reduced from up to 1 day → 10–30 minutes
At every stage, AI generates a clear, structured checklist: — what needs to be done — what data is required — who is responsible — what the expected outcome is Your team doesn’t waste time figuring things out — they operate within a defined system
👉 Result: — fewer errors and miscommunication — fewer missed steps — faster and more consistent execution