Lean AI – Developing Employees’ AI Skills

Why do you need this service?

Lean AI combines employee skills development with the practical use of artificial intelligence in process analysis, standardisation and daily improvement.

Lean AI – AI supporting people and processes

Artificial intelligence creates the greatest value when it supports a real process: organising data, generating hypotheses, preparing instructions, analysing problems and testing ideas faster. We therefore treat AI as a tool that increases people’s capability to improve work, rather than as a separate technology project.

We connect the programme with Digitalisation and AI, Lean and TWI. When implementing principles for responsible AI use, we also consider the European framework described by the European Commission.

We implement Lean AI in stages, from specific use cases and employee competencies to measuring effects, establishing tool-use standards and scaling solutions to further processes.

Lean AI
Lean AI

What is our role?

  • Diagnose the organisation’s needs for using AI tools in everyday work.
  • Design and implement an AI skills development programme tailored to company roles and levels.
  • Train employees in tools such as ChatGPT, Claude, Gamma, Copilot and others.
  • Implement KaizenUp.ai as everyday support for leaders and teams in the practical use of AI.
  • Create AI tool use cases for operational, administrative and manufacturing processes.
  • Support internal trainers and AI ambassadors through mentoring and ready-to-use educational materials.
  • Monitor implementation results and develop the programme so that it continues to meet organisational needs.

A handful of facts

0
proprietary AI applications supporting employees
0
users of the Kaizen Up AI application
0
implementation projects within Lean AI and Kaizen Up

Implementation support

We provide support based on the Kata process, which allows us to adapt our activities to the specifics of your organization, taking into account the jointly set goals. The Kata process consists of four key elements that enable effective implementation of assumptions.

Determining the course of action

Designing a concept that responds to the organization's goals and challenges.

Determining the current state

Learning about the current situation and collecting input data to define the next step.

Determining the target state

Determining the desired and measurable end result and a plan for its implementation.

Experiments - consultations

Implementation of activities in accordance with the established cooperation model, based on PDCA cycles.

We operate according to PDCA

P

PLAN

  • Analyse employees’ current skill levels in using AI tools.
  • Define development goals, such as greater operational efficiency, reducing leaders’ workload and digital transformation of teams.
  • Identify processes that AI can improve, such as reporting, communication, planning and creating materials.
  • Develop the Lean AI programme structure, divided by proficiency level and specific roles: leaders, specialists and managers.
  • Design training pathways using tools such as ChatGPT, Claude, Gamma and Copilot.
  • Adapt the programme to the company and its office, manufacturing or service processes.
  • Integrate KaizenUp.ai to support leaders’ daily work through practical AI implementation.
  • Develop an action schedule and assign responsibilities to HR, IT, functional leaders and AI trainers.

D

DO

  • Launch a series of in-person training sessions, workshops and online AI tool training.
  • Pilot the KaizenUp.ai application in selected teams.
  • Create real AI use cases in participants’ work, such as writing procedures, automating meeting notes and generating content.
  • Organise inspiration sessions and demonstrations of practical applications of tools such as ChatGPT, Claude and Gamma.
  • Launch daily support for leaders through KaizenUp.ai: reminders, checklists, coaching questions and task documentation.
  • Monitor user activity in the application and progress in using AI tools.
  • Implement micro-certification, such as “AI in a leader’s practice” and “AI for creating training materials”.

C

CHECK

  • Collect programme participants’ feedback through surveys, interviews and review meetings.
  • Assess competency development by comparing AI skill levels before and after implementation.
  • Analyse daily use of KaizenUp.ai, including login statistics and the most frequently used features.
  • Identify the most effective tools and use cases within the organisation.
  • Measure AI’s impact on operational KPIs, such as response time, documentation quality and the number of improvements.
  • Assess technology adoption across professional groups: leaders, engineers and administration.

A

ACT

  • Update the training programme using the data and participants’ suggestions.
  • Scale the programme to further departments and plants, for example within a corporate group.
  • Adapt KaizenUp.ai to the organisation by personalising content and adding its own AI tools.
  • Extend support for leaders with new AI features, such as reporting, automatic task scheduling and feedback generation.
  • Provide continuing AI training and mentoring for internal trainers and AI ambassadors.
  • Sustain development through regular updates to materials and implementation practices.
  • Promote a culture of continuous improvement using artificial intelligence: Kaizen + AI = KaizenUp.

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