CASE 04·Auto parts · Precision stamping
FINE BLANKING & TOOL × Intellicon Solutions
Start where the process is standard but tedious
treat AI as infrastructure
not a short-term project
Before the rollout
FINE BLANKING & TOOL CO., LTD. (FBT, 4535) is the largest manufacturer of stamped parts in Taiwan and among the top three makers of motorcycle brake discs worldwide, with customers across Europe, the Americas and Asia. Its technology and market position both lead, yet it shares the pain points common to manufacturing: large volumes of repetitive data handling, and integration across systems that eats time.
Routine as this administrative work looks, it accumulates into a hidden cost to the efficiency of the organization. Management decisions lacked timely data behind them, and it kept talented people from higher-value innovation.
Goals
- Solve the repetitive data handling and the time lost integrating systems
- Lower the error rate and the time cost of comparing things by hand
- Build an AI SOP that keeps improving and can be copied across departments
- Free up staff time for supplier relationships and process improvement
- Make AI a core driver of growth
What Intellicon Solutions did
FBT worked with Intellicon Solutions, starting with the tasks that were standard but tedious, that needed manual comparison across different kinds of record, and that were slow and error-prone when done by hand:
- 01Focus on pain points: improve the highly repetitive, standardized tasks first
- 02No-code development: the platform itself needs no programming, so staff in every department picked it up quickly
- 03Cross-functional work: AI Agents built across front-, middle- and back-office functions
- 04Developing people: an internal AI team and development training, growing the ability to keep improving without outside help
Use cases: AI in the critical processes
- Inventory management
- automated data analysis replaces the slow work of comparing and looking things up
- Purchasing reconciliation
- far less time spent reconciling, with better accuracy and efficiency
- Labor hour management
- improves how staff hours are counted and analyzed
- Sales and production
- the early rollout covered production management and back-office work, and the range keeps expanding
Results
- A leap in efficiency
- compiling reports that used to take hours now takes minutes
- Building assets
- know-how turned into an AI SOP, a permanent digital asset for the company
- Shifting value
- the time saved goes into strategic work such as improving supplier relationships
- Quick proof
- the team saw that generative AI genuinely applies to daily work and produces real benefit
- Sparking innovation
- development was simple and fast enough to prompt more ideas for internal applications
What the management team says
“The technical and market position FBT has built in precision stamping and brake discs is the result of more than 30 years. Now, with competition in global manufacturing intensifying, FBT will raise its operating efficiency across the board by bringing in AI Agents. AI is not only a tool for efficiency; it is a chance to redefine how we manage, how we decide and how we innovate. We want AI to reach into every critical process and we want data to drive the decisions of the company. That is what it takes to stay ahead in international markets.”
What the partner says
“What makes the FBT case valuable is not how many AI Agents they deployed but that they treat AI as long-term infrastructure rather than a short-term project. Taiwan has enormous depth in manufacturing, and when a manufacturer that looks traditional is willing to put resources into mapping its processes, structuring its knowledge and building an AI SOP, AI becomes an asset that keeps improving.”
What’s next
For FBT this is only the start of a digital transformation. The company already plans to extend AI into more use cases, improving efficiency in more departments and production lines and strengthening the resilience and responsiveness of its management against shifts in global geopolitics.
Through its own practice, FBT has mapped out a workable path for manufacturing in Taiwan. The opportunity is there; what industry needs is new thinking and new tools to reinterpret its core strengths.
From here FBT will keep treating AI as company infrastructure. When a need appears, the matching Agent can be built within hours and adjusted as the process changes, which turns lower costs and higher efficiency into something sustained.
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