Black Box AI. Your Private AI.

Your business. Your data. Your intelligence.

On-premise

A dedicated server inside your organization

Full control over infrastructure, data and information flows without moving anything outside your environment.

Grounded answers

Answers grounded in your documents

The system answers only on the basis of approved sources and shows references directly in the response.

Compliance-ready

Architecture designed for regulation

Private infrastructure, European models and delivery principles designed with GDPR and the EU AI Act in mind.

What Is Black Box AI?

Private AI infrastructure for organizations
that require full control over data.

Black Box AI combines the privacy of local infrastructure with practical operational intelligence. It understands the context of your company and works on your terms.

Total privacy

Complete data isolation. Your information is not used to train external models and does not leave your infrastructure.

Tailored to your workflows

The system learns your terminology, internal procedures and operating model, instead of forcing generic processes onto your teams.

On-premise deployment

A dedicated server runs inside your organization. You retain full control over hardware, updates and access policies.

Source-grounded answers

No more hallucinations. The system answers with precision based on your approved documents and always points back to the source.

What AI Black Box does

It solves the knowledge-work problems that slow companies down.

Decision-makers do not need another AI tool to test. They need a secure way to find information faster, organize documents and make decisions using data that stays inside the organization.

Finds information in scans and documents

OCR, or optical character recognition, turns archives, contracts, reports and manuals into searchable knowledge that can be analyzed and referenced.

Turns meetings into decisions and tasks

Recordings from meetings, negotiations and consultations become structured notes, summaries, task lists and working material for teams.

Helps understand data without manual analysis

Black Box AI analyzes tables, reports and XML files, compares periods, highlights trends and helps teams find deviations and risks faster.

Needs and signals

The most common challenges our clients bring to us.

Organizations usually come to us when they want to use AI, but need control over data, a clear rollout strategy and an outcome that can be shown to the board.

“We want to use AI, but we cannot risk our data.”

That is why we design private architecture, access roles, audit logs and rules for working with sensitive documents.

“We have pilots, but no decision on what to scale.”

The strategic workshop organizes initiatives, assesses value and risk, and points to scenarios that make business sense.

“We need an outcome the board can see.”

We build the Proof of Concept on a real process and client data to test value, rollout cost and scaling conditions quickly.

Industries

Private AI tailored to the realities of your industry.

Every sector has different data, risks and accountability rules. We show concrete deployment scenarios for finance, legal, technical documentation and defense.

AI for finance, accounting and audit

Report automation, transaction analysis, anomaly detection and audit support.

Explore industry

AI for legal teams and compliance

Contract analysis, access control, confidential documents and legal-change monitoring.

Explore industry

Confidential documentation and know-how

Local AI for designs, formulas, source code and specifications.

Explore industry

Secure AI for SAFE programme

AI for tender documentation, logistics, risk and supply chains.

Explore industry
How deployment works

Deployment in a few steps.
From decision to measurable outcome.

We start by understanding the process, data and business accountability. Only then do we build a Proof of Concept designed to show concrete value within weeks.

From strategy to action

Decisions, data and processes are the starting point.

A Proof of Concept makes sense when we know which process is being tested, which data can be used, who owns the decision and how value will be measured. The board sees a real rollout scenario, not a technology demo.

3 / 6 / 12 month roadmap AI governance PoC on client data
1

Strategic AI workshop

We map processes, data, risks and business potential. The output is a short list of priorities.

2

Roadmap and architecture model

We define where a commercial tool is enough and where private AI is required.

3

Proof of Concept on real data

We build an MVP for a selected scenario, measure impact and validate data flows.

4

Scaling, training and AI governance

We define AI usage rules, access roles, team capabilities and the plan for further rollouts.

AI training and strategy

AI strategy for business: from inspiration to implementation roadmap.

We run strategic AI workshops for boards and managers, as well as practical AI security training. We help companies move from general interest in artificial intelligence to concrete initiatives, governance and safe ways of working with AI.

Strategic AI workshops for boards and managers

We identify processes with the highest potential, compare tools such as ChatGPT, Microsoft Copilot, industry solutions, open source and private AI, then build an AI implementation roadmap for 3, 6 and 12 months.

  • a map of AI opportunities across the organization,
  • initiative scoring by value, difficulty and security risk,
  • recommendations for vendors, technology and deployment model,
  • an action plan for capabilities, governance and rollout.
Explore the workshop

Safe AI use and AI security training

Practical training for companies that want to increase team productivity while reducing risks related to data, confidentiality, hallucinations and uncontrolled use of public AI tools.

  • which data can and cannot be entered into public AI tools,
  • differences between ChatGPT, Copilot, enterprise AI and private models,
  • internal AI usage rules and readiness for the EU AI Act,
  • when to deploy BlackBox AI or another private AI solution.
Explore AI security training

Delivery experience

Training connected to real implementation work.

AI Change and Step Change IT work at the intersection of technology, business processes and IT delivery. Our experience includes projects for companies such as Teva Pharmaceuticals, Polfa Tarchomin, Grupa Żywiec, EuroCash and Harley Silesia.

boards and managers AI roadmap AI literacy / EU AI Act
FAQ

Frequently asked questions

Yes. Black Box AI can run on-premise or in a private cloud, which keeps data, documents and know-how inside a controlled environment.

We typically start with a strategic workshop, process mapping and the selection of one high-value use case. Only then do we define the architecture and rollout path.

The first Proof of Concept is built around real data and a specific business scenario such as document analysis, audit support or knowledge work. The goal is to confirm value quickly before scaling.

We support both. We help design private AI architecture, but also guide companies through strategy, prioritization, AI ways of working and organizational readiness.
Privacy and security

Privacy and security.

We design Black Box AI so that security, regulation and control are part of the system from day one.

Secure AI model selection

We use European, open source and national models where they make business and security sense. Every choice is assessed against data, risk, licensing, answer quality and the ability to run in a private environment.

Compliance, audit and regulation

The system is designed with the EU AI Act, GDPR and ISO 27001, ISO 27701 and ISO 42001 in mind. Deployments can include access roles, audit logs, login history, user activity records and human oversight over AI processes.

Maximum isolation

Full isolation of infrastructure, models and data gives you maximum operational control over security.

Certificates and standards

Security comes from architecture, access control and standards.

In private AI deployments we map GDPR, EU AI Act and client security policies into concrete design decisions: data location, access roles, encryption, retention, activity logging, audit trail and human oversight. Compliance becomes part of the architecture, not a document added after go-live.

ISO 27001 ISO 27701 ISO 42001 GDPR / privacy by design audit logs roles and access control
ISO/IEC 27001 - information security management ISO/IEC 27701 - privacy information management ISO/IEC 42001 - artificial intelligence management system

Models and sovereignty

Where it makes sense, a project may use European models, open source models or Polish language ecosystems, including solutions developed for the public sector. We do not treat them as an automatic recommendation: model selection depends on quality, security, licensing, data and client requirements.

PLLuM - Polish language model ecosystem for public and business use SpeakLeash / Bielik - Polish language resources and models SAFE - European defense procurement and local supply-chain context
Trends and insights

Trends and the latest AI insights.

We publish commentary on AI developments, practical rollout materials and selected expert articles for companies that want to understand private AI and real business use cases.

Featured insight March 2026

EU AI Act: why companies should organize their AI strategy now.

The EU AI Act shows that companies need more than AI tools. They need strategy, data control, governance and secure architecture for responsible AI implementation.

private AI sovereign AI EU AI Act on-premise deployment
Read the article Request English materials
About us

Experience that connects transformation, data and AI delivery.

AI Change is a brand developed by Step Change IT Europe Sp. z o.o., bringing together innovation, security, compliance and business value.

16+

years in IT

More than a decade of experience in digital transformation, system architecture and data-driven delivery.

2018

AI projects since 2018

We have delivered predictive systems, analytics solutions and AI strategy work for demanding organizations.

regulated
environments

projects where control really matters

We work where compliance, data quality and knowledge security are non-negotiable.

Selected experience

Teva USA

Predictive systems and data analytics supporting operational decision-making.

Selected experience

Polfa Tarchomin

AI strategy, initiative prioritization and organizational preparation for rollout.

Selected experience

Adamed

Process automation and AI applied to documents, workflows and organizational knowledge.

Areas where we most often deploy AI

Pharma and healthcare Finance and audit Legal and compliance Technical documentation Operational processes Institutional knowledge
Contact

Let’s talk about AI, strategy and systems in your organization.

  1. A short conversation about processes, data, teams and IT constraints.
  2. A recommendation on whether to start with an AI strategy workshop, AI security training, a PoC or private AI architecture.
  3. A practical next step: AI implementation strategy, process automation or cleanup of systems and data flows.
kontakt@aichange.pl +48 32 325 85 44
  • AI implementation strategy, board workshops and training for teams
  • Black Box AI, on-premise deployment, private cloud and secure architecture
  • Support with IT challenges, integrations, data and business systems
  • ul. Tadeusza Kościuszki 117, 40-523 Katowice, Poland
  • Step Change IT Europe Sp. z o.o. | Tax ID (NIP) 6342931294