AX (AI Transformation) Consulting

Analyze the work, transition it to AI agents,
and make it self-operating

Our AX consulting applies the BEI methodology: we analyze your existing workflows, then deliver the full journey from Agentic AI (Multi-Agent System) design and build to internalization training for self-operation — all in one place.

The Problem

AI adoption among SME manufacturers is around 1%

While large enterprises reach 48.8% AI usage, SME manufacturers sit at roughly 1%. The biggest barrier isn't technology — it's not knowing where or how to start. PNF closes that gap through field diagnosis, small-scale proof of concept, and phased rollout.

* Source: MSS (Jan 2026), KCCI·KDI

BEI Methodology — a 4-step transition

1

Diagnose (AS-IS)

Analyze workflows and identify where AI can apply.

2

Design (TO-BE)

Design the Agentic AI architecture, agent roles and workflows.

3

Build

Develop AI agents, build automation pipelines, run integration tests.

4

Train & Internalize

Train field staff and hand over with manuals for self-operation.

Core technology — Multi-Agent System (MAS)

Not a single chatbot or tool, but a system where multiple AI agents collaborate to automate real workflows.

Data security & Human-in-the-loop
Customer data and confidential information are blocked at the agent-input stage, and outgoing deliverables get a final human review — balancing automation efficiency with control.

A good fit if you are

Where can AI apply in your company?

We diagnose your current work together and propose the highest-impact starting points first.