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MyQMS·Quality management SaaS·European Union·End-to-end AI delivery

An AI layer on a regulated quality management platform, delivered into production in one quarter.

Time to production
1 quarter
Manual review time
Materially reduced
Audit posture
Preserved
MyQMS illustration
At a glance

What we shipped

MyQMS needed to add AI capabilities to a quality management product serving regulated European customers. The goal was to remove repetitive work from quality managers without weakening the audit trail the product is built around.

Challenge

Quality management customers operate under ISO-aligned processes. They will not adopt AI that sits outside the audit trail, and they need answers they can defend to regulators. MyQMS needed AI that would speed up the work without introducing new risk.

Approach

Blueprint → AI Pilot → Production launch → Scale and operate.

We followed the Datablooz Delivery Model. See our process.

  1. Blueprint

    One-week working session to identify the highest-ROI workflows. We prioritized two use cases where AI could save meaningful time without weakening the compliance posture.

  2. AI Pilot

    Three-week prototype on real MyQMS data. We validated the model performance and proved the audit trail could carry every AI-driven action.

  3. MVP in production

    Shipped the integrated feature to pilot customers inside 10 weeks, with monitoring and a documented operating manual.

  4. Scale and operate

    Ongoing reliability engineering and model governance review. Retraining cadence is documented, and every model change goes through a review.

Outcomes

Business, technical, and governance outcomes.

  • Two AI-backed workflows live in the MyQMS product.
  • Full audit trail preserved for every AI-driven action.
  • Governance model aligned with ISO quality management expectations.
  • Operating review rhythm established between MyQMS and Datablooz.
Architecture and stack
  • Python
  • PyTorch
  • FastAPI
  • PostgreSQL
  • Cloud-agnostic deployment
Governance

Model cards maintained per feature. Every AI action is logged with input, output, and the responsible human reviewer. Drift monitoring is checked monthly.

Working on something similar?

Schedule a call. We will tell you honestly whether AI is the right move.

Schedule a callEmail info@datablooz.com

Reference calls available under NDA after the second working session.