Work orders, travelers, and POs set to surge 30%—no path through without new staff. AI agents draft; the same team reviews and ships.
A family-owned Texas precision manufacturer supplying parts for U.S. military aircraft programs, built over five decades from a garage workshop.
Facing a projected 10-30% jump in demand, manual processes across quoting, planning, and procurement became operational bottlenecks. The president...
“We’re looking at anywhere from a 10 to 30 percent growth this next year. The opportunity is there, and I couldn’t figure out exactly how I was going to keep up with the data input that had to be done for the work orders, travelers, purchase orders, and shipping final products. The only place I wanted to call was IBM.”
CNC machining and metal fabrication services for aerospace and defense sectors.
Deployed IBM watsonx Orchestrate for Savage Precision Fabrication, including data storage and databases.
Enterprise technology and consulting for cloud computing, AI, and business solutions.
Savage Precision Fabrication's Production planning is part of this use case:
Related implementations across industries and use cases
Sales reps manually interpreted unstructured email orders. Now, AI extracts product codes and validates data to trigger ERP workflows.
Contract routing took 2 days of manual checks. AI now finishes in 60 minutes, escalating only complex exceptions for human review.
Lunar hardware took years of sequential design cycles. Now, AI agents run physics simulations to deliver parts in days.
Reps faced 70-case queues, taking days to manually cross-reference specs. Now, an AI drafts quotes in minutes for final human review.
Hand-written deal handoffs ate selling time and often slipped; AI now drafts a standardized note from the deal context in under a minute.
Building a compliant bot took 512 hours. A unified framework cuts that to 64, launching agents with just 50 lines of code.
Admin overhead slowed decision-making. Copilot now automates content generation, cutting daily busywork by 30 mins.
Managing documentation across 65 sites bottlenecked a central team. Now, Claude synthesizes data and coaches local directors on compliance.
Engineers combed through 1,000-page packages to verify steel traceability codes. AI now extracts and matches them in minutes; they validate.
Work orders, travelers, and POs set to surge 30%—no path through without new staff. AI agents draft; the same team reviews and ships.
A family-owned Texas precision manufacturer supplying parts for U.S. military aircraft programs, built over five decades from a garage workshop.
Facing a projected 10-30% jump in demand, manual processes across quoting, planning, and procurement became operational bottlenecks. The president...
“We’re looking at anywhere from a 10 to 30 percent growth this next year. The opportunity is there, and I couldn’t figure out exactly how I was going to keep up with the data input that had to be done for the work orders, travelers, purchase orders, and shipping final products. The only place I wanted to call was IBM.”
CNC machining and metal fabrication services for aerospace and defense sectors.
Deployed IBM watsonx Orchestrate for Savage Precision Fabrication, including data storage and databases.
Enterprise technology and consulting for cloud computing, AI, and business solutions.
Savage Precision Fabrication's Production planning is part of this use case:
Related implementations across industries and use cases
Sales reps manually interpreted unstructured email orders. Now, AI extracts product codes and validates data to trigger ERP workflows.
Contract routing took 2 days of manual checks. AI now finishes in 60 minutes, escalating only complex exceptions for human review.
Lunar hardware took years of sequential design cycles. Now, AI agents run physics simulations to deliver parts in days.
Reps faced 70-case queues, taking days to manually cross-reference specs. Now, an AI drafts quotes in minutes for final human review.
Hand-written deal handoffs ate selling time and often slipped; AI now drafts a standardized note from the deal context in under a minute.
Building a compliant bot took 512 hours. A unified framework cuts that to 64, launching agents with just 50 lines of code.
Admin overhead slowed decision-making. Copilot now automates content generation, cutting daily busywork by 30 mins.
Managing documentation across 65 sites bottlenecked a central team. Now, Claude synthesizes data and coaches local directors on compliance.
Engineers combed through 1,000-page packages to verify steel traceability codes. AI now extracts and matches them in minutes; they validate.