AI & Data

Training: Implementing AI in Organizations

Artificial intelligence is becoming a key driver of digital transformation in companies.

Duration
6h
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Who it's for

Ideal for teams that…

1 Managers and team leaders responsible for digital transformation
2 Strategy and innovation specialists
3 Analysts and consultants implementing AI solutions
4 Entrepreneurs and business owners planning AI adoption
5 HR professionals and change management leaders
Outcomes after the program

Hands-on AI and data analytics workshops — built around your team's real cases.

✓

Identify and prioritize processes where AI will deliver the most value

✓

Plan and execute AI pilot projects, including defining KPIs and measuring ROI

✓

Build AI implementation strategies – from single projects to enterprise-wide scaling

✓

Design Human+AI collaboration environments across different business areas

✓

Manage change and communication during AI rollouts

✓

Avoid common pitfalls and recognize technological, legal, and ethical barriers

✓

Foster an organizational culture that supports innovation

Program · 8 modules

What we actually do

M01
Module 1 – AI basics and identifying use cases
  • · Intuitive explanation of AI and GenAI
  • · Overview of tools and business areas where AI creates value
  • · Process mapping and identifying automation opportunities
  • · Exercise: Automation opportunity mapping
M02
Module 2 – Prioritization and initiative planning
  • · Criteria for evaluating AI projects: business potential and implementation complexity
  • · Creating an “innovation funnel” – from idea to deployment
  • · Workshop: initiative list and project prioritization
M03
Module 3 – Human+AI work environments
  • · Human–AI collaboration in practice (HR, procurement, sales, customer service)
  • · Designing AI-enhanced processes
  • · Workshop: participants’ case studies
M04
Module 4 – Challenges and success factors
  • · Common barriers in AI adoption and how to minimize them
  • · Legal and ethical aspects (GDPR, AI Act, bias)
  • · Discussion: building a culture open to innovation
M05
Module 5 – Planning and executing a pilot
  • · Scope, KPIs, and requirements of an AI pilot project
  • · Data architecture and system integration
  • · Workshop: pilot plan development
M06
Module 6 – Evaluation and scaling
  • · Measuring AI effectiveness and ROI
  • · Decision criteria: scale, pivot, or stop the project
  • · Case study: real-world AI adoption in organizations
M07
Module 7 – Change and competency management
  • · AI Center of Excellence and capability building in the organization
  • · Psychological aspects of AI acceptance in teams
  • · Workshop: change communication – convincing employees
M08
Module 8 – The future of AI-powered organizations
  • · How AI is reshaping job roles and the future of work
  • · Discussion: AI challenges and perspectives in organizations
Every module is adapted to your stack and context. The above is a starting point — not a fixed agenda.
How we work

From brief to retro in 30 days.

01

Brief & diagnosis

A call with the team lead + a short survey for participants. We define goals, gap and context.

02

Program customization

We adapt modules, case studies and code examples to your stack. Approval in 5 days.

03

Workshop

Trainer-led sessions, hands-on, code review. Mentor available between sessions too.

04

Retro + report

Outcome report for the team and lead. 30 days of consulting included.

Inquiry

Send a brief. We'll reply within 1 day.

After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.

✓Quote within 48h of the brief
✓First session within 30 days
✓Pilot before the full decision
✓VAT invoice, payment in instalments possible

Ochrona antyspamowa (Cloudflare Turnstile) zostanie aktywowana po wpięciu klucza.

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