# AI for ERP in Taiwan: Electronics, Semiconductor Supply Chain, and On-Prem AI > Source: https://netray.co/erp-ai/ai-for-erp-taiwan-electronics-semiconductor > Publisher: Netray (netray.co), AI and integration engineering for ERP and manufacturing systems. > Section: AI for ERP ## Short answer Taiwan's foundry, OSAT, PCB, and EMS suppliers running SAP, Oracle E-Business Suite, Infor LN, or Digiwin ERP can add AI to their ERP without sending BOM, yield, or process data to a third-party cloud, which most customer contracts explicitly prohibit. The practical design is an on-prem or in-country private deployment with per-customer-programme data segregation built into the retrieval layer, not just role-based access. ## Kind region ## Erp Family multi-erp ## Erp Products - SAP S/4HANA - Oracle E-Business Suite - Infor LN - Digiwin ERP ## Industries - Electronics - Semiconductor ## Region Taiwan ## Persona CIO ## Eyebrow Taiwan electronics + on-prem AI ## Intro Taiwan's position in the global electronics and semiconductor supply chain, foundries, OSAT and packaging houses, PCB fabricators, and EMS providers, comes with a set of customer contracts that are unusually strict about where data can go. Most customer NDAs explicitly prohibit sending BOM, yield, or process-related data to any third-party cloud service, which rules out the large majority of SaaS AI copilots before the conversation even gets to features or pricing. Taiwan's 2022 amendment to the National Security Act added specific criminal liability for leaking what the law calls national core critical technologies, a category that squarely covers advanced semiconductor process knowledge. That statute raises the stakes considerably for any AI tool that could move process-related data off-premises, even accidentally through a public LLM's logging or caching behavior, and it means the compliance conversation for a semiconductor-adjacent supplier is not optional or theoretical. Underneath the compliance question is an operational one: high-mix, high-change electronics manufacturing generates a constant stream of engineering change orders, BOM revisions, and exception conditions, and planners and buyers spend a disproportionate amount of their time on that routine triage rather than on the judgment calls that actually need a person. A group running SAP at the parent and Digiwin or Infor LN at a subsidiary adds a second layer of friction, since there is no single place to ask a question that spans both systems. The workable starting point keeps the AI layer entirely inside the customer's own network or an in-country private deployment, answers ordinary ERP questions in Traditional Chinese or English, and treats per-customer-programme data segregation as a hard architectural boundary rather than a policy statement, so a supplier can show, not just tell, an auditing customer that their process data never mixed with another customer's. ## Pain Points ### Customer NDAs prohibit third-party cloud processing outright **Detail:** Foundry and OEM customer contracts typically forbid sending BOM, yield, or process data to any external cloud service, which eliminates most commercial AI products before technical evaluation even starts. ### National Security Act raises the stakes on data movement **Detail:** The 2022 amendment protecting national core critical technologies means any tool that could move semiconductor process knowledge off-premises, even inadvertently, carries legal exposure well beyond an ordinary data breach. ### High-mix BOM and ECO churn consumes disproportionate planner time **Detail:** Frequent engineering changes and a high-mix production environment generate constant exception volume, and planners spend more time triaging routine changes than making the judgment calls the role actually requires. ### Multiple ERPs across group companies with no shared query layer **Detail:** A parent company on SAP and a subsidiary on Digiwin or Infor LN have no common way for a group-level manager to ask a single question across both systems. ### 24x7 operation leaves no room for an approval bottleneck **Detail:** Fab-adjacent and line operations run around the clock, so any AI tool that adds friction or waits on approval for routine questions will simply be ignored on the night shift. ## Use Cases ### Customer-NDA-safe natural-language query over ERP **Description:** Planners and engineers ask questions about orders, WIP, and inventory and get answers grounded entirely in on-prem or in-country ERP data. **Erp Objects:** Sales orders, WIP transactions, inventory balances, production schedule **Outcome:** answers routine status questions without any data ever leaving the customer's own network boundary ### BOM and ECO impact assistant **Description:** Summarizes which open orders, inventory, and downstream BOM records are affected by a new engineering change. **Erp Objects:** Engineering change orders, BOM explosion records, open order impact fields **Outcome:** cuts the manual cross-referencing work needed to assess ECO impact from hours to a direct query ### Quality exception triage commentary **Description:** Summarizes quality and SPC exception flags already surfaced in the ERP or MES, without touching underlying process recipe data. **Erp Objects:** Quality notifications, SPC exception flags, inspection lot records **Outcome:** gives the quality team a faster read on which exceptions need escalation, drawn only from data already exposed in the ERP ### MRP and PO exception and supplier confirmation triage **Description:** Groups and prioritizes reschedule, expedite, and cancel messages for planner review. **Erp Objects:** MRP action messages, purchase order lines, supplier confirmations **Outcome:** cuts routine exception triage time for the majority of low-risk lines ### NCR and customer 8D drafting **Description:** Drafts a first-pass root cause and containment narrative from a quality notification, formatted for a customer 8D response. **Erp Objects:** Quality notifications, NCR records, 8D worksheets **Outcome:** gives the quality engineer a reviewable draft in minutes rather than a blank template ### Cross-entity knowledge assistant **Description:** Lets a group-level manager ask a single question spanning a parent's SAP instance and a subsidiary's Digiwin or Infor LN instance. **Erp Objects:** Multi-instance sales, inventory, and production data across connected ERP systems **Outcome:** replaces a round of emails to each subsidiary's controller with one query answered from all connected systems ### RFQ-to-quote drafting from historical costs **Description:** Pulls comparable historical job costs and routing data to give estimators a grounded starting draft. **Erp Objects:** Job costing history, routing data, quote header and line records **Outcome:** shortens the time from RFQ receipt to a defensible first quote draft ## Architecture **Overview:** The architecture treats per-customer-programme data segregation as a hard boundary enforced at the retrieval layer, not just a role-based access setting, and supports Traditional Chinese and English by default. **Layers:** #### ERP connectors **Detail:** Read-only connectors into SAP (OData/BAPI), Oracle E-Business Suite (interface tables), Infor LN (BODs, ION), and Digiwin (its API or ODBC layer). #### Data and semantic layer **Detail:** A permissioned index tagged by customer programme as well as by standard role, so retrieval physically cannot mix one customer's data into another's answer. #### Model serving **Detail:** Open-weight models served on customer-owned or Taiwan-resident infrastructure, sized for 24x7 fab-adjacent or line-operation query volume. #### Retrieval and agents **Detail:** Retrieval-augmented generation grounded in connected ERP data, with any write-back action gated behind explicit human approval and per-programme access logging. #### Governance and audit **Detail:** Query and action logs retained per customer programme, structured to answer a customer audit or NDA compliance request without exposing another programme's data. ## Deployment Options ### Air-gapped on-prem **Fit:** fab-adjacent or programme-segregated line operations under strict customer NDAs **Detail:** Model serving and retrieval run entirely inside the facility network with no outbound path, matching the data-handling terms most foundry and OEM customer contracts require. ### Private cloud in Taiwan **Fit:** companies that want managed infrastructure with in-country data residency **Detail:** The model and data stay inside a Taiwan-resident data center, suited to groups that want central administration without GPU hardware at every site. ### Hybrid **Fit:** groups with multiple sites and multiple customer programmes **Detail:** Model serving runs centrally while retrieval stays segregated per site and per customer programme, keeping the strictest programmes fully isolated while sharing infrastructure elsewhere. ## Compliance ### Personal data used in AI features is scoped to a documented business purpose, with access and retention handled through the same processes as the rest of the ERP. **Framework:** Taiwan Personal Data Protection Act (PDPA) ### The deployment is designed so process-adjacent data relevant to protected technologies never transits a path outside the customer's own network or in-country private infrastructure. **Framework:** National Security Act, 2022 amendment on national core critical technologies ### Per-customer-programme data segregation in the AI layer supports trade secret protection obligations the company already owes its own customers and suppliers. **Framework:** Trade Secrets Act ### Contractual data-handling commitments to foundry and OEM customers are enforced technically at the retrieval layer, with segregation the company can demonstrate to an auditing customer, not just assert. **Framework:** Customer and programme-level NDA obligations ### For sites certified or working toward ISO 27001, the AI deployment's logging, access control, and change management practices are aligned to the same certification scope. **Framework:** ISO 27001 as a hosting baseline ## Integration Notes - SAP connections use OData and BAPI/RFC calls scoped to read-only roles. - Oracle E-Business Suite integration reads from interface tables and standard concurrent program outputs. - Infor LN integration goes through BODs and ION. - Digiwin integration uses its published API or ODBC layer rather than direct database access. - Per-customer-programme data segregation is enforced at the retrieval layer, not only through role-based access control. - The UI and retrieval layer support Traditional Chinese and English by default. - GPU sizing accounts for 24x7 query volume from fab-adjacent or continuous line operations. ## Product Fit ### ERPray **Why:** Question answering and dashboards across SAP, Oracle E-Business Suite, Infor LN, or Digiwin data, with per-customer-programme segregation respected in every answer. ### Custom build **Why:** The BOM and ECO impact assistant, and the per-programme data segregation architecture itself, are specific enough to a supplier's customer contract structure to warrant a scoped custom build. ## Engagement ### Discovery **Duration:** 2-3 weeks **Deliverables:** - Data classification review across ERP, MES, and customer programme boundaries - Customer NDA and data-handling clause review mapped to a deployment option - Deployment recommendation with a per-programme data segregation design ### Pilot **Duration:** 6-8 weeks **Deliverables:** - Working query pilot for one customer programme, deployed inside that programme's data boundary - Read-only connector to the primary ERP with programme-scoped access controls - Traditional Chinese and English accuracy validated with real planners and engineers ### Production **Duration:** 8-12 weeks after pilot sign-off **Deliverables:** - Hardened deployment on the agreed on-prem or Taiwan-resident private cloud environment - Per-programme audit logging ready to support a customer NDA compliance review - Runbook and internal admin training for ongoing operation ### Scale **Duration:** ongoing **Deliverables:** - Rollout to additional customer programmes, each with its own data boundary - Cross-entity query capability extended to sister group companies - Quarterly review of segregation integrity, usage, and model performance ## Buyer Questions - Can you show, not just describe, how one customer's data is prevented from ever appearing in another customer's answer? - Does any prompt, document chunk, or model output leave our network or in-country boundary at any point, including for logging? - How would this system satisfy an audit from a customer whose NDA prohibits third-party data processing? - What happens to query and answer logs, where are they stored, and who can access them per customer programme? - Can the system operate with zero outbound internet connectivity if a specific programme requires it? - Has Traditional Chinese accuracy actually been tested with our own planners and engineers? - What is the realistic hardware footprint for 24x7 query volume from a fab-adjacent operation? ## Faq ### Will using AI on our ERP violate our customer NDAs? **Answer:** Not if the deployment stays entirely on-prem or within an in-country private cloud the customer's own network never leaves, and if per-customer-programme data segregation is enforced at the retrieval layer rather than relying only on role-based access. Most NDA clauses target third-party cloud processing specifically, so an architecture that never sends data to an external service addresses the core concern directly. ### Does the National Security Act amendment really apply to ordinary ERP data, or only to process recipes? **Answer:** It depends on the specific technology classification, but the safer approach treats process-adjacent data broadly rather than trying to draw a precise legal line in advance. An AI deployment that keeps all ERP and MES-linked data on-prem or in-country avoids the question largely becoming moot, since the data never has the chance to leave in the first place. ### How is per-customer data segregation actually enforced, not just promised? **Answer:** By tagging every piece of indexed data with its customer programme at the point it enters the retrieval layer, so a query scoped to one programme structurally cannot retrieve chunks tagged to another, regardless of a user's broader role permissions. That is a stronger guarantee than access control alone, which depends on correctly configured permissions rather than architectural separation. ### We run SAP at the parent and Digiwin at a subsidiary. Can one system query both? **Answer:** Yes, with a connector into each system and a semantic layer that normalizes the data enough to answer a single question from either source, while still respecting each subsidiary's own customer programme segregation. The response indicates which system the answer came from. ### Is Traditional Chinese support native, or a translation layer over English? **Answer:** It should be native, built and tested on Traditional Chinese queries directly rather than machine-translating English output. That distinction matters most for precise engineering and quality terminology, where a translation layer tends to introduce ambiguity that a native bilingual system avoids. ### How does this help with engineering change order impact analysis specifically? **Answer:** By summarizing, in response to a direct question, which open orders, inventory positions, and downstream BOM records are affected by a new ECO, drawn from data already in the ERP. That replaces a manual cross-referencing exercise across multiple ERP screens with a single grounded answer the planner can act on immediately. ### What does a realistic first pilot look like for a fab-adjacent or line operation? **Answer:** A single customer programme, one department, typically planning or quality, running entirely inside that programme's existing data boundary, answering natural-language questions over ERP data. It proves the connector, the segregation model, and the bilingual support before extending to additional programmes or use cases. ## Search terms AI for ERP Taiwan, Taiwan semiconductor AI ERP, on-prem AI Taiwan electronics, AI for SAP Taiwan, AI for Digiwin ERP, PDPA Taiwan AI compliance, private LLM Taiwan semiconductor, AI copilot Taiwan electronics, AI for Infor LN Taiwan, national core critical technology AI, AI for OSAT PCB manufacturing, semiconductor supply chain AI ERP --- Talk to an engineer: https://netray.co/contact?intent=erp_ai | Machine catalog: https://netray.co/agent/catalog.json