Author: IACF
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Bringing AI agents into the DELMIA Apriso SDLC: introducing apriso-mcp
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Anyone who has delivered on DELMIA Apriso knows where project time goes: turning a business requirement into a CDD/DDD, then into DFCs, Views, Actions, Layouts, Screens and Queries in Process Builder, packaging it all through Global Process Manager, and finally getting it onto a server to test. Each step needs…
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Choosing a MoM-MCP Edition: Full, Lite, or Portal
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MoM-MCP is IACF’s bridge between AI and large language models (LLMs) and the manufacturing applications a plant already runs: MES/MoM, ERP, PLM, CRM, QMS and others. One question comes up as soon as a team starts a pilot: which edition do we install where? There are three pieces that work…
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I Needed a Finance App, So I Asked My Bot to Build It
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What one Sunday with Grok Bot taught me about software made to order For about fourteen years I tracked my money in Suishouji (éšæ‰‹è®°, sui.com). It is a good app. It is also somebody else’s app: my financial history sits on somebody else’s servers, and somebody else decides which features…
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From first recording to signed-off release: the life of a test in Testbot
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The October 5 article explained why a change is safe only when the whole process is retested. This one follows a single test through Testbot, from the first recording to a release someone can sign off: where the test comes from, what each run leaves behind, and how the test…
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Quality Response Loop: From Defect Heat Map to Root Cause to CAPA, with a Human Sign-Off
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A defect spike is easy to see and hard to act on. The data sits in several systems. The analysis takes time, and the fix has to go through the right people before anything changes on the line. This article walks through one quality response loop, from a heat map…
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Introducing MoM-MCP: The Governed Bridge Between AI and Every Manufacturing Application
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Manufacturers want AI that does more than chat. They want it to read live production data, explain what is happening, and recommend what to do next. They also need it to respect the rules that keep a plant safe and compliant. MoM-MCP from IACF is built for exactly that gap.…
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Change is safe only when the whole process is retested
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The problem Build from scratch, improve what exists, or add one new feature: the result is the same. A change in one place can break a process that worked yesterday, and if nobody retested it before release, production is the test. What is Testbot Testbot tests an application from the…
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MoM-MCP: The Trusted Bridge Between AI and Manufacturing Operations
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Artificial Intelligence is rapidly transforming manufacturing. From predictive analytics to autonomous scheduling, AI promises to improve productivity, quality, machine utilization, and operational visibility across the plant floor. But one critical question continues to slow down AI adoption in Manufacturing Operations Management (MoM) and MES environments: Can manufacturers truly trust AI…
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Introduction to IAC AI Agent Studio
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The IAC AI Agent Studio is a production-grade multi-agent orchestration platform built directly into the IAC application framework. At its core, the platform allows developers to create, configure, and manage AI agents, which serve as AI assistants equipped with specific purposes, execution behaviors, and toolsets. The studio is highly versatile…
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Beyond Stateless AI: The IACF Agent Architecture Redefining Smart Manufacturing
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In the rapidly evolving landscape of Industry 4.0, the challenge has shifted from simply deploying Large Language Models (LLMs) to creating systems that possess true institutional memory, architectural resilience, and proactive governance. Traditional AI models are often “stateless”—they process information in the moment but reset once a session ends, lacking…