On-premise
A dedicated server inside your organization
Full control over infrastructure, data and information flows without moving anything outside your environment.
Black Box AI. Your Private AI.
Your business. Your data. Your intelligence.
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.
Capabilities
AI as an operational assistant
ready to work on your data.
Black Box AI works across documents, scans, recordings and tabular data in one secure environment, without sending your data to public models.
Advanced LLM OCR
Intelligent reading of scans and images. The system breaks down multi-page documents into logical sections and analyzes them page by page with high accuracy.
Meeting transcription and summaries
Turn recordings from meetings, negotiations or consultations into structured notes, summaries and action lists within a secure environment.
Spreadsheet and reporting analysis
The system understands the logic of spreadsheets and XML reports without manual formulas. It compares financial data over time and highlights trends and metrics.
Use Cases
Most valuable where data and knowledge stay inside the organization.
Defense, aviation and aerospace
Work with sensitive documents, procedures and know-how in an environment that remains fully under organizational control.
Finance, audit and regulatory compliance
Detect anomalies, compare financial records and support audit teams in a controlled, private environment.
Healthcare and medical organizations
Work with medical documentation, diagnostic descriptions and specialist knowledge while maintaining full control over sensitive data.
Manufacturing and technical documentation
Keep technical and production documentation confidential while giving teams faster access to standards, manuals and specifications.
How deployment works
Our AI Change process.
Fast Proof of Concept.
We build an MVP on your data to prove business value within weeks, then scale the solution safely across additional processes.
1
Discovery and strategy
Identify potential, map processes and define business KPIs for the first use cases.
2
Architecture
Select models and infrastructure, from Apple Silicon to private cloud and on-premise deployment.
3
Proof of Concept
Build a focused MVP on your data with a measurable business outcome and fast validation.
4
Scale-up
Build team capabilities, ways of working and full rollout across the organization.
AI strategy and enablement
Technology is 20%.
The other 80% is strategy and people.
Strong AI delivery does not end with a model and a server. We help teams build the organizational readiness, processes and decision-making discipline that create returns in months, not years.
AI strategy design
We shape AI initiatives around business priorities, process economics and measurable outcomes, focusing teams on scenarios that reduce workload or increase margin.
Change readiness
We train leadership teams and operational teams to build confidence around AI, safer data practices and repeatable ways of working across the organization.
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.
European models
We use models such as Mistral together with private architecture to reduce dependency on public APIs and global providers.
Compliance by design
The system is designed with the EU AI Act, GDPR and internal governance standards in mind from the beginning.
Maximum isolation
Full isolation of infrastructure, models and data gives you maximum operational control over security.
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.
Sovereign AI: from trend to strategic necessity.
McKinsey points to infrastructure, data and model control as a strategic decision. In our featured article, we explain how these trends translate into practical Black Box AI deployments and why private AI is becoming a real direction for enterprise.
private AI
sovereign AI
EU AI Act
on-premise deployment
More articles
Current knowledge archive in Polish
20 January 2026AI deployment in 2026: it is not about the tool, it is about the strategy (PL)
A piece about moving from endless pilots to a real strategy, architecture and operational scale-up.
31 March 2026AI enters a new phase as regulation becomes clearer (PL)
What current legislative work means for organizations that want to adopt AI safely and ahead of the curve.
ArchiveBrowse all current articles (PL)
Open the current knowledge archive and review the latest published 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
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 private AI for your organization.
- A short conversation about your process, data and organizational constraints.
- A recommendation of the most sensible rollout scenarios to start with.
- A clear next step: workshop, PoC or architecture design.
- A focused conversation about needs, strategy and the most valuable rollout scenarios
- On-premise deployment, private cloud and secure AI architecture
- ul. Tadeusza Kościuszki 117, 40-523 Katowice, Poland
- Step Change IT Europe Sp. z o.o. | Tax ID (NIP) 6342931294