# AI for ComplianceQuest: Connecting QMS Records to ERP, Suppliers and Shop Floor > Source: https://netray.co/erp-ai/compliancequest-ai-integration > Publisher: Netray (netray.co), AI and integration engineering for ERP and manufacturing systems. > Section: AI for ERP ## Short answer ComplianceQuest is built on the Salesforce platform, so its QMS, supplier quality and related records can be read through Salesforce APIs under a scoped integration user. A private AI layer joins those records to ERP data, drafts CAPA and supplier summaries with citations, and leaves approvals, signatures and closure to people inside ComplianceQuest. ## Kind platform ## Erp Family mfg-systems ## Erp Products - ComplianceQuest ## Industries - Manufacturing - Medical Devices - Life Sciences - Automotive ## Region Global ## Persona Quality Director ## Eyebrow ComplianceQuest + private AI ## Intro ComplianceQuest offers a cloud quality platform covering document control, CAPA, audits, supplier quality, complaints and related functions, delivered on the Salesforce platform. Manufacturers in medical devices, automotive and general industry use it to replace paper and spreadsheet processes with workflows that connect quality events to suppliers and products. Being on Salesforce shapes the integration. Records are objects with fields, permission sets and sharing rules, reachable through standard APIs. That is a good starting point, but real configurations include custom fields and record types, and the AI layer must be mapped to what you actually run rather than a generic schema. The recurring pain is joining quality to operations. A supplier corrective action needs PO and receipt history. A CAPA needs lot genealogy and work order data. An audit finding may relate to a routing step or work center. Those facts live in the ERP and shop floor systems, and today people copy them across by hand. This page explains what AI around ComplianceQuest can and cannot do, how the integration is built and secured, and what to ask any vendor before a model is connected to your quality records. ## Pain Points ### Supplier quality lacks operational context **Detail:** SCARs and audits sit apart from delivery performance, receipt inspection results and price or lead-time history held in the ERP. ### CAPA evidence is gathered manually **Detail:** Owners search ERP and plant systems for lots, work orders and defect data, then paste summaries into the CAPA. ### Narrative inconsistency **Detail:** Problem statements and root causes are written in different styles, hiding repeat issues in category-based trending. ### Audit scheduling and follow-up drift **Detail:** Open findings and due dates accumulate across sites, and prioritising what to chase before an external audit takes manual sweeps. ### Custom configuration per business unit **Detail:** Different units tune record types and fields, so cross-unit reporting depends on mapping tables that age badly. ## Use Cases ### Supplier scorecard narratives **Description:** Combines SCAR history, audit results and ERP delivery and receipt data into a cited supplier review brief. **Erp Objects:** ComplianceQuest supplier, SCAR and audit records; ERP vendor master, PO lines, receipts, inspection results **Outcome:** Faster supplier reviews with traceable data; sourcing decisions stay with people. ### CAPA evidence brief **Description:** Collects related NCRs, lots, work orders and prior CAPAs for an open action and drafts a summary for the owner. **Erp Objects:** ComplianceQuest CAPA and nonconformance records; ERP lot genealogy, work orders, scrap transactions **Outcome:** Reduces evidence collection time; owner edits and approves. ### Incoming NCR to SCAR drafting **Description:** Drafts a supplier corrective action from a receiving nonconformance with the PO, lot and inspection results. **Erp Objects:** ComplianceQuest NCR and SCAR; ERP receipt, PO line, quality inspection **Outcome:** More complete first drafts; quality engineer reviews before sending. ### Repeat-issue clustering **Description:** Groups similar problem descriptions across sites and suppliers to reveal patterns that coding hides. **Erp Objects:** ComplianceQuest description and root cause fields; part, supplier and site fields **Outcome:** Surfaces repeats; needs human validation of clusters. ### Audit follow-up queries **Description:** Answers which findings are overdue by site or process, and what is blocking closure. **Erp Objects:** ComplianceQuest audit findings, actions, due dates, task history **Outcome:** Replaces manual list building with queries that show their filters. ### Change and document impact **Description:** For a proposed change, lists related documents, processes and training for review. **Erp Objects:** ComplianceQuest document and change records; ERP routing and item references **Outcome:** More complete impact lists; formal approvals stay in the workflow. ### Management review drafts **Description:** Drafts trend summaries of CAPA, supplier and audit performance with record links. **Erp Objects:** ComplianceQuest CAPA, supplier and audit data; ERP quality cost indicators **Outcome:** Saves preparation time; numbers trace to source. ## Architecture **Overview:** A scoped integration user reads ComplianceQuest through Salesforce REST API and SOQL. Records flow to a private index in the customer's environment and are joined to ERP data by read-only connectors. A model hosted inside the boundary produces cited drafts. Writes, if any, are proposals submitted by named users. **Layers:** #### Platform access **Detail:** OAuth-based connected app and integration user with object and field permissions reviewed by the Salesforce admin and quality unit. #### ERP and supplier data **Detail:** Read-only access to vendor, PO, receipt and inspection data, plus lot and work order data for CAPA joins. #### Private index **Detail:** Structured data for exact filtering, text embeddings for similarity, stored in the customer's environment. #### Model serving **Detail:** Open-weight models through vLLM or Ollama on customer GPUs or private cloud, logging prompts and outputs. #### Human approval **Detail:** Drafts become records only when a person submits them under their own credentials in ComplianceQuest. ## Deployment Options ### Supplier quality pilot **Fit:** Teams starting with the clearest ERP join **Detail:** Read-only supplier, SCAR and audit data joined to PO and receipt history. ### Private cloud QMS assistant **Fit:** Multi-site manufacturers **Detail:** Adds CAPA, NCR and audit modules and runs in your cloud tenancy. ### On-prem model **Fit:** Defense and regulated customers with residency clauses **Detail:** Model and index local; data arrives through an approved API or export path. ## Compliance ### Signatures and records remain in ComplianceQuest. The AI layer is read-only and validated by the customer under their CSV process. **Framework:** FDA 21 CFR Part 11 / QMSR ### Assists CAPA, supplier control and audit follow-up without replacing controlled procedures. **Framework:** ISO 13485 and ISO 9001 ### Supports supplier performance and corrective action analysis; customer-specific requirements remain manual decisions. **Framework:** IATF 16949 ### Where EHS modules are used, apply the same read-only and approval principles and review any personal data before indexing. **Framework:** ISO 45001 / EHS records ### Role-based filtering and minimisation before model input; in-boundary processing reduces third-party exposure. **Framework:** Data protection ## Integration Notes - Export your org's object and field schema first, since custom record types differ between customers. - Review field-level security and sharing rules on the integration user and re-check after releases. - Plan around Salesforce API limits using incremental sync by last-modified date. - Align supplier and part identifiers between ComplianceQuest and the ERP before building joins. - Treat attachments as a separate OCR stage with sampling-based quality checks. - Version-control the semantic mapping layer so schema changes are caught early. ## Product Fit ### Custom build **Why:** Supplier briefs, CAPA evidence and clustering fitted to your ComplianceQuest configuration. ### ERPray **Why:** Read-only ERP lookups for vendor, PO, receipt and lot data with the query shown. ### DataRay **Why:** For supplier certificates, test reports and file-share evidence outside the QMS. ## Engagement ### Discover **Duration:** 1-2 weeks **Deliverables:** - Org schema export and mapping - Supplier and CAPA workflow review - Identifier alignment with ERP - Security and data classification review ### Prototype **Duration:** 3-4 weeks **Deliverables:** - Read-only index of in-scope modules - Supplier review brief with citations - CAPA evidence brief ### Validate **Duration:** 3-4 weeks **Deliverables:** - Historical case test set - Answer accuracy and refusal review - Validation inputs for your CSV package ### Operate **Duration:** Ongoing **Deliverables:** - Schema change monitoring - Quality reviews of outputs - Roadmap for further modules ## Buyer Questions - Which ComplianceQuest objects and fields does the integration read? - How do you handle our custom record types and per-unit variations? - Does the system write anything back and who signs? - How are supplier and part identifiers reconciled with the ERP? - Where do model, index and logs run? - How do you test answers against past cases? - What is the plan when Salesforce releases change the schema? ## Faq ### How does AI integrate with ComplianceQuest? **Answer:** ComplianceQuest runs on the Salesforce platform, so an integration user reads records via the standard REST API and SOQL. The exact objects depend on your configuration, so we begin with a schema export and mapping, then build a read-only index with ERP joins. ### Is vendor AI enough? **Answer:** For tasks inside ComplianceQuest, vendor and Salesforce AI features may be sufficient and are worth evaluating first. A separate layer is useful when you need to join quality records to ERP and plant data, or when policy requires the model and logs to remain in your own environment. ### Can AI send supplier corrective actions automatically? **Answer:** It should not. It can draft a SCAR with PO, lot and inspection evidence, but a quality engineer reviews it and sends it under their own credentials. Supplier communications have contractual and relationship consequences that belong to people. ### How is the ERP join made reliable? **Answer:** By agreeing on identifiers for suppliers, parts and lots up front, and storing them as exact keys rather than relying on fuzzy matching. Mismatches are listed for data owners to fix, which often improves the underlying master data as a side benefit. ### What about EHS data? **Answer:** If you use EHS modules, records may include injury or personal information. We apply stricter minimisation and role filtering, and often exclude those fields from the index altogether. Your privacy and safety teams decide what is in scope. ### Can it run fully on-premises? **Answer:** The model and index can. ComplianceQuest is a cloud platform, so the integration still needs an approved network path to its API. Sites that cannot allow that can use an agreed export-based sync instead, with reduced freshness. ### What does a pilot involve? **Answer:** A schema mapping, a read-only sync of selected modules, an ERP join for suppliers or lots, and a test set of past cases. Timelines depend mostly on access approvals and identifier alignment rather than on model work. ## Search terms ComplianceQuest AI, ComplianceQuest ERP integration, AI supplier quality management, AI for SCAR supplier corrective action, ComplianceQuest Salesforce API, AI QMS for manufacturers, private AI for quality management software, AI CAPA evidence, ComplianceQuest CAPA automation, AI audit follow-up QMS, AI for supplier scorecards --- Talk to an engineer: https://netray.co/contact?intent=erp_ai | Machine catalog: https://netray.co/agent/catalog.json