Webinar: Structured AI for PAS-X Migration

A customer case in structured automation from inputs to validated outputs

Migrating to PAS-X and modernizing MES processes doesn’t have to be slow, manual, or error-prone. In this webinar, we’ll share a customer case demonstrating how structured AI automation and custom AI tools can accelerate MES work while improving consistency, traceability, and governance.

We’ll focus on what was automated, how the overall workflow was designed to remain reliable, and how quality controls were built in to reduce rework and mitigate program risk.

What we’ll cover:

MES-specific challenges (time pressure, repetitive work, fragmented sources, and inconsistent outputs across teams and systems)
What “structured AI automation” means in MES: AI guided by a defined workflow, rules, and validation, so outputs are predictable, reviewable, and governed
AI assistance through custom tools for migration and ongoing MES change activities (helping teams produce and validate results faster, with less manual effort)
AI-supported periodic review: a tool that uses AI to match Change Requests from multiple sources, e.g. Jira versus change logs in PAS-X, to improve coverage and reduce missed updates
AI & Python approach for MBR updates: a tool used to change MBRs using a hybrid method that combines AI-driven interpretation with deterministic processing in Python for consistent transformations
Outcomes and lessons learned from the customer case (what improved, what required tuning, and what to watch during adoption)
NNIT branded standard PAS-X AI XML tool
Q&A: practical considerations for adopting structured automation across MES migration and operations

Speakers:

Lena Hinløv, Vice President, Digital Manufacturing, NNIT

Jan Lierz, Advanced AI Developer, Digital Advisory & Consulting, NNIT

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Webinar: Structured AI for Smarter MES Modernization