AI Roundtable: Jak dostat AI do každodenního provozu firmy

We will mainly focus on controlled use cases, knowing that we are building an entire ecosystem that is supposed to scale and bring AI to production.

We will go through with Katka Tarantová from Sympulse and Patrik Horný, CEO of Stratox, the state of AI adoption in companies.

First we ask ourselves the obligatory question of when to go for AI and when not., where does its benefit end and where does unnecessary complexity or risk begin.

LEVEL 1

First controlled use-cases (K.Tarantová)

Jhow to start thinking about automation without too much theorizing and without sewing with a hot needle.

How not to drown in generic advice about AI adoption and set a reasonable plan

When to cover needs internally and when externally? And how to choose the right technology partner?

Case studies:

• AI assistant for document-intensive operations (Finance, ESG, Regulatory)
• Large Scale optimization in real business conditions (Logistics, Finance)
• What-if analyzes for supply chain (Manufacturing)
• Product design with CAD/CAM data (Production)

LEVEL 2

AI in controlled operation (P. Horný)

AI is no longer an isolated tool.

Emerges:

• workflow between departments
• orchestration of AI components
• rules and control
• measurement benefits
• managed deployment

It's not about "trying AI". The goal is to create an operational model.

LEVEL 3

Agent infrastructure (J. Mlynár)

AI becomes part of the company's functioning.

Emerges:

• AI agents
• autonomous workflow
• AI support development
• automated processes across the company
• embedded AI directly in core systems

At this level, it is already a new way of operating the company.