AI Excellence Program: Hands-on AI and Automation Training for Companies

Rolling out AI without adoption is a cost, not an investment

The board approved the budget. The licenses are active. Six months later, half the team uses AI now and then, the rest have gone back to old habits, and nobody can point to what changed in the numbers. That's not a story about bad technology. It's a story about adoption that never took hold.

The AI Excellence Program starts where most rollouts stall: with people. We offer two AI training tracks for companies, one for engineers and one for business teams.

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canon logodecathlon logounity logomastercard logohogarth logoman group logoeuropean space agency logowayfair logogoogle logonoon logogsk logonestle purina logo
Copilot wordmark logo in black lowercase letters.

Copilot

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Claude

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n8n

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Copilot Studio

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Gemini

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Power Automate

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GPT

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One organization. Two tracks.

Same goal, different technical depth. Engineers work at the level of code, architecture, and secure integration. Business teams learn prompting, how to build assistants, and how to automate work in low-code tools.

TRACK 01: BUSINESS AND MANAGEMENT

AI Enablement for Business

For: team leads, product managers, analysts, and HR, procurement, finance, operations, and marketing teams.
After the workshop, a manager or specialist:
Understands what AI tools can do, knows how to write requirements for IT and evaluate the solutions IT proposes, and can improve processes and the way their team works.
See the full agenda
TRACK 02: TECHNICAL

AI Bootcamp for Developers

For: developers, software engineers, architects, testers, and DevOps engineers.
After the workshop, an engineer:
Uses AI developer tools confidently in production work, saving time and reducing the margin for error.
See the full agenda
TRAINING SCOPE

Process Automation

Connecting systems through automation (e.g. Power Automate, n8n).

Prompt Engineering

Context, roles, patterns, and prompts grounded in your real working environment.

AI Assistants

AI assistants built around your teams' specific processes.

AI Agents

Multi-step agent workflows, task handoffs, and guardrails.

AI-Native Development

A software delivery lifecycle supported by agentic engineering: design, implementation, code review, and testing.

Tools matched to your team's needs

AI Enablement for Business

Copilot wordmark logo in black lowercase letters.

Copilot

Illustration of a brain composed of interconnected nodes and lines symbolizing a digital or neural network.

n8n

Three overlapping rounded square shapes in gradient colors of green, blue, orange, pink, and purple.

Copilot Studio

Gemini company logo

Gemini

OpenAI logo consisting of a stylized hexagonal knot design.

chat GPT

Microsoft Power Automate logo with a stylized blue lightning bolt and overlapping shapes.

Power Automate

Abstract symmetrical geometric starburst pattern with warm orange and red tones on a black background.

Claude

Technical AI Bootcamp

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Claude code

Github copilot

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Codex

TRAINERS

Practical knowledge from the front line

The program is led by engineers and architects with years of experience designing and deploying AI solutions for clients in the US, UK, Germany, and Poland.

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Łukasz Koczwara
CTO
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Wojciech Patelka
Solutions Architect
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Marek Olejniczak
AI Director
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Benedykt Dryl
Head of Engineering
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Adam Krysztopa
AI/ML Team Leader
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Adam Wojciechowski
Senior ML Engineer
METHODOLOGY

Learning by doing

All participants need is a browser. After the workshop, teams keep the templates and source files for every agent and assistant they built.

Full infrastructure

We provide the accounts, models, and tokens, so participants focus on results instead of setup.

~80% hands-on

No slide decks full of text. Every participant gets real tasks and support while working on them.

Resource library

Participants leave with more than knowledge: they take away templates and source files ready to deploy.

Business outcomes

Faster digitization: AI assistants become lasting internal assets for your organization.
Lower operating costs: automating repetitive tasks frees up time for strategic work.
Lower risk: safer AI practices protect your data and make outputs more reliable.
Lasting knowledge transfer: optional expert support hours after the program ends.

What our clients say

AI BOOTCAMP FOR DEVELOPERS
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The STX Next team has deep expertise, and they share it both in the workshops and beyond them. Working with STX Next developers, we keep learning from them.

They were ahead of the market in using AI well and building it into everyday work, not just simple showcase tasks. Their expertise matched our needs exactly.

Max Coghlan
Tech Lead at EV Financial Solutions

Why did Permira move from simple prompts to automation in n8n?

When AI dominates strategy discussions, your team needs more than a general awareness of the topic. With our help, a leading private equity firm used n8n to automate internal processes and gave its professionals the technical depth they need in meetings with clients and stakeholders.

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What problems does the program solve?

Fragmented AI adoption

Different tools in different departments, experiments that leave nothing lasting behind, and no shared language between IT and the business.
SOLUTION
The program builds skills on both sides in parallel and gives the organization patterns it can scale.

Operational inefficiency

Repetitive manual tasks, processes that depend on what a few people know, and no way to scale.
SOLUTION
In the workshops, whole teams build automations around the company's real processes themselves, supported by our template library.

AI self-sufficiency

Relying on outside consultants slows progress and adds cost to every project iteration.
SOLUTION
The workshops are built around full knowledge transfer, so your team can design and deploy AI systems on its own.

Shadow AI and unmanaged models

Employees often use AI tools outside approved company systems.
SOLUTION
Secure development patterns, grounding in company data with RAG, and enterprise workflows in n8n and Power Automate address the problem at the system level.
WHY STX NEXT

Designed around how your organization works

STX Next has been based in Poznań, Poland, since 2005. Over the past few years we've delivered dozens of AI projects in the UK, US, Germany, and Poland, including in industrial and financial services.

Closed and on-premise infrastructure

For companies with strict security requirements, we run AI workshops in isolated environments (on-premise, private cloud, or air-gapped), using only models approved by your IT team.

EU AI Act and regulatory compliance

Organizations operating in the EU fall under the EU AI Act. Secure AI patterns, use-case classification, and safeguards for high-risk systems are built into the program from the start, not added as a separate chapter.

Language and industry context

We deliver AI training in English or Polish. Workshops are calibrated to your industry and your organization's real processes, not to generic sales scenarios.

At your office or on your screen

We consistently see the best results from face to face workshop-style training vs. online, so we usually run workshops on site at the client's office. For distributed teams, we also deliver the program in a hybrid or fully online format.

Let's talk about your organization

Every month without structured adoption is a month your competitors pull further ahead in putting AI to work.

Let's talk about how we can support AI adoption in your company.

Matthew Harris
Chief Commercial Officer (CCO)
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FAQ

How is STX Next's AI training for companies different from standard online courses?

STX Next's AI training is a structured program delivered to whole teams inside your organization's environment, not to individual learners on an e-learning platform. The AI Excellence Program differs from standard courses in three ways: about 80% of the time is hands-on work with real tools, participants leave with working artifacts ready to deploy, and the program is calibrated to your organization's tech stack and processes.

What AI training programs does STX Next offer?

STX Next offers two programs that can run in parallel or separately. The AI Bootcamp is a 20-hour training for developers and architects covering an LLM-assisted delivery lifecycle, agentic integration patterns, and secure coding with language models. AI Enablement for Business is a 16-hour training for managers, analysts, and specialists covering prompting, building AI assistants, and process automation in low-code tools. Both programs are available in English and Polish.

What does the AI training for managers in the AI Excellence Program involve?

It's a 16-hour workshop split into six topic blocks. Participants learn how language models work in practice, how to write precise prompts that give repeatable results, how to build AI assistants tailored to their team's processes, and how to design and run automations in low-code tools such as Copilot Studio, Power Automate, and n8n. The program is for people who don't write application code but make decisions about AI adoption or use AI tools in their daily work.

How much do AI workshops for companies cost?

The cost depends on the number of participants, the tracks you choose, and how much the program is tailored to your organization. STX Next doesn't publish a price list: each program is priced individually after an intro call with our Head of AI/ML. Contact us for a specific quote.

How long do STX Next's AI workshops take?

The AI Bootcamp for technical teams takes about 20 hours, in a recommended format of 4 days of 5 hours or 5 days of 4 hours. AI Enablement for Business takes 16 hours, over 3 days of about 5 hours or 4 days of about 4 hours. The two tracks can run in parallel or on separate dates. The exact schedule is agreed with your L&D team or management before the program starts.

What language is the training delivered in?

We deliver training in English or Polish, depending on what your organization prefers. STX Next was founded in Poznań, Poland, in 2005 and works with clients across Europe, the UK, and the US. Exercises and labs are calibrated to your industry and your real processes.

Do the trainers have experience in regulated environments?

Yes. STX Next has delivered AI projects in financial services, private equity, and industrial sectors, where data security, operational continuity, and regulatory compliance are baseline requirements, not options. The trainers leading the AI Excellence Program are the same engineers and architects who designed and deployed those solutions. We hold TISAX and ISO/IEC 27001 certifications.

Can the training be split into smaller modules over time?

Yes. We set the schedule individually with your L&D team or management. Both tracks can be spread out over time, with the pace adjusted to your organization's working rhythm. The only condition is continuity between modules, so participants build on what they learned in earlier sessions instead of starting over each time.

Can the program run remotely, or only on site?

We run the program remotely, on site at your office, or in a hybrid format. The format is agreed during the intro call and doesn't affect the scope or the learning outcomes.

What is the minimum and maximum number of participants?

We set group sizes individually, based on the format and the track. Groups that are too large lower the quality of workshop work, so for intensive hands-on sessions we recommend groups of up to 30 people. For larger organizations, we suggest running several editions of the program. We agree on the details during the intro call.

What happens if the team gets stuck with implementation a few months later?

STX Next offers a package of expert hours for exactly this situation: support for the first production deployments, unblocking specific technical problems, and help scaling the solutions built during the workshops. We agree on the scope and number of hours before or after the workshop program, so your team knows who to contact and on what terms.

Our team has very different skill levels. Is that a problem?

Not if it's addressed during planning. In the intro call, we assess participants' levels and set the program's starting point accordingly. If the gaps within a group are large, we can split it into subgroups with different technical intensity or add a catch-up module before the main program.

Does training make sense if we're only just starting with AI?

Yes, and it's often the best time. Organizations that build skills before scaling avoid the most common mistake: rolling out tools before people know how to use them, then trying to fix adoption after the fact. The AI Excellence Program works both for teams starting from zero and for teams that already have first experiments behind them. We set the starting point to match the group's actual level, not an assumed one.

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