Skip to content

AI Agents for enterprises in Krakow and Poland

On your infrastructure. Under your control.

Auswahl aus über 5.000 Projekten in 25 Jahren Softwareentwicklung

Airbus Volkswagen Shell Renault Evonik Vattenfall Philips KPMG

Krakow is Poland’s shared-service capital - and exactly for that reason the hardest AI location

Krakow hosts the largest concentration of Global Capability Centres in Central Europe. ABB Krakow runs its global engineering documentation here, Cisco Krakow operates one of the largest software development units outside the US, IBM Krakow is a delivery centre with thousands of consultants, and alongside them sit ING Hubs Krakow, Capgemini, Motorola Solutions, EY GDS and the Polish IT group Comarch. What these sites have in common: they process data from several EU jurisdictions, their outputs end up in the books of Western European parent groups, and every AI decision has to withstand Polish UODO, Polish RODO implementation and the regulators of the parent countries at the same time. Krakow is not just a Polish city - it is the engine room for many European corporates.

The three regulatory hurdles for AI in the Krakow market

First, RODO and the Polish Personal Data Protection Act (ustawa o ochronie danych osobowych): UODO (Urzad Ochrony Danych Osobowych) expects documented foundations, retrievable explanations and a complete Audit Trail for automated decision-making. Because Krakow GCCs process data from Germany, France, the Netherlands and Scandinavia, every AI decision must also hold up before the relevant national supervisory authority in the parent country. An architecture that only meets RODO is insufficient for group-wide shared services.

Second, KNF supervision for the growing number of banking and insurance operations in Krakow: ING Hubs Krakow, Aon, Brown Brothers Harriman and other financial services firms sit under direct or indirect Komisja Nadzoru Finansowego oversight. For transaction monitoring, AML screening and underwriting recommendations, KNF expects the same evidence as BaFin or the Dutch DNB - including traceable model foundations and a logged human final decision.

Third, the EU AI Act (UK: UK AI regulatory framework), which applies in Poland from February 2025 for prohibited practices and from August 2026 for high-risk systems: HR screening, creditworthiness assessment and biometric identification fall into the high-risk category. Krakow sites that develop or operate such systems for parent groups must be able to evidence conformity assessments, risk management and post-market monitoring - a technical debt that is hard to pay down retrospectively.

Typical deployment scenarios in Krakow

Comarch banking software QA: Comarch’s banking suite is used by hundreds of Polish and Central European financial institutions. Document Agents check release notes, regulatory updates and patch documentation against KNF requirements before a release ships, with a complete Audit Trail back to the source PR.

ABB Krakow engineering documentation: ABB’s global engineering centre in Krakow generates thousands of technical documents per day in multiple languages. Workflow Agents extract regulatorily relevant specifications, reconcile them against country-specific norms and automatically route conflicts to human reviewers.

ING Hubs transaction monitoring: in an ING shared service with millions of transactions per day, every second of delay determines regulatory reporting duties. The Decision Layer routes suspicious cases inside the KNF and DNB thresholds, with enforced Human-in-the-Loop on every final escalation.

Capgemini delivery operations: Krakow delivery teams serve large clients across multiple EU countries. Service-desk routing agents classify tickets by language, tenant and escalation path - every decision auditable against the relevant regulatory standard.

How Gosign serves Poland from Krakow

Gosign operates its own office in Krakow (gosign.pl) with Polish-speaking project managers, engineers and compliance owners - native Polish and English speakers who work directly on site with clients at Krakow Technology Park, Hub:raum or inside the premises of the parent group. Discovery workshops, sprint reviews and steering happen without a language barrier or travel overhead, with the Rada Zakladowa representative in the same room. Krakow acts as the regional hub for the whole of Poland: most ABB, Cisco, Capgemini and IBM sites are reachable inside the same city, and Warsaw, Wroclaw and Gdansk are all same-day reachable. Hamburg contributes architectural reviews, DACH compliance expertise and the interface into German or Swiss parent groups; delivery, day-to-day operations and direct client contact sit with the Krakow team. For an outsourcing country with more than 350,000 IT engineers, this is the only set-up that really works: locally anchored, EU-wide connectable.

Why Krakow is a strong starting point for Enterprise AI

Krakow has three properties that make it unique as an entry point. First, the density of talent: Krakow Technology Park, Hub:raum and the Krakow Startups Cluster form the largest technology ecosystem between Berlin and Vienna, with thousands of engineers trained multilingually on corporate processes. Second, the multi-jurisdictional reality: an AI agent built in Krakow to be compliance-ready for ABB, Cisco or ING has implicitly been built for the whole EU West. An architecture that holds up in a Krakow GCC before Polish UODO, the Dutch DNB and German BaFin at the same time is only a configuration exercise away in any other EU country. Third, operational maturity: Krakow GCCs have worked with Western European groups for more than fifteen years, and the internal processes for change management, ITIL, ISO 27001 and SOX compliance are mature. Introducing a new Decision Layer component here does not mean learning a new compliance discipline but extending an existing one with an additional control layer.

Cert-Ready by Design in this environment is not marketing but a precondition for day one of operations. Starting in Krakow puts the hardest test behind you before the first Western European subsidiary goes live - and an agent that is production-ready in Krakow can be rolled out in Warsaw, Wroclaw or Gdansk inside a few weeks, because the technical foundation stays identical and only the regulatory configuration files change. More context on the EU AI Act and the Polish application is in the Governance area.

Why do most AI projects fail?

Not because of technology – but because of missing governance. Without clear rules defining who makes which decision, every AI agent stays a pilot project.

That is why we build every agent exclusively with a Decision Layer. It breaks down every business process into individual decision steps and defines for each step: human, rule engine, or AI. No agent goes into production without this layer.

Decision Layer in detail →

Three agent types for your department

Document Agents

Understand documents through real language comprehension. Recognition of type, content, and context – not template matching. Every extraction verified through the Decision Layer.

Document Agents in detail

Workflow Agents

Steer business processes across multiple systems and decision points. One agent, complete orchestration. Every step in the audit trail.

HR AI Agents

Knowledge Agents

Answer questions from enterprise knowledge – with source reference, rule version, and validity date. No verified source, no answer.

Knowledge Agents in detail

Governance by Design

Auditable. Compliant. Enterprise-grade.

Human-in-the-Loop architecturally enforced – not optional

Complete audit trail for every agent decision

GDPR compliant by design – all data on your infrastructure

Works council compatible – agreements as constraints in the Decision Layer

EU AI Act compliant by design – transparency, explainability, human oversight

Model-agnostic – no vendor lock-in, you own the source code

From PoC to platform

1

Discover

1 week

Process analysis, understand rule sets, prioritise use cases.

2

Build

3–4 weeks

Productive PoC. One agent, one process, live on your infrastructure.

3

Scale

Continuous

More agents, more processes. Same governance, same auditability.

After 12–18 months, you operate your agents independently. Source code, prompts, and rule sets are yours.

Go deeper

Analysis and insights on enterprise AI, governance, and agent architecture.

Why AI Projects in HR Fail
HR & People Operations

Why AI Projects in HR Fail

Most AI projects fail not because of technology but because nobody defined the rules. Why the operating model matters more than the language model.

“Even as a global market leader, you want to keep moving forward. It is reassuring to have the technological expertise and infrastructure experience of Gosign on our side.”

Arletta Korff

Head of Innovation, Sony Music Entertainment

“Gosign is not just about speed. It's about how much essential work happens in this time.”

Truels Dentler

Head of Customer Service & Technical Support, Libri GmbH

Frequently Asked Questions

Does Gosign have an office in Krakow?

Yes. Our Krakow office (gosign.pl) provides local project management and client support across Poland.

How is GDPR compliance handled?

GDPR-compliant by design. All data remains on your infrastructure. No data transfer to third parties. The EU AI Act is directly applicable in Poland as an EU member state.

How quickly is a first AI agent productive?

4-6 weeks from first consultation to productive agent. Discovery: 1 week. Build: 3-4 weeks. On your infrastructure.

Are the agents compatible with the Works Council?

Yes. In Poland, the Works Council (Rada Zakladowa) holds information and consultation rights for AI deployment. The Decision Layer with Human-in-the-Loop architecturally enforces human review for decisions requiring consultation.

Which process should your first agent handle?

Talk to us about a specific use case in your organisation.

Schedule a consultation