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AI Agents for enterprises in Gdansk and the Tri-City

On your infrastructure. Under your control.

Auswahl aus über 5.000 Projekten in 25 Jahren Softwareentwicklung

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Gdansk combines the largest Baltic container port with a rapidly growing tech cluster

Gdansk and the Tri-City (Gdansk, Gdynia, Sopot) are the only place in Poland where large-scale maritime logistics, refinery industry and tech outsourcing operate in direct proximity to one another. The Port of Gdansk is by some distance the largest container port on the Baltic, with connections to Asia, Scandinavia and Western Europe. Lotos (now part of the Orlen group) runs one of the largest refineries in Central Europe here. At the same time, Gdansk hosts Intel Gdansk, Amazon Development Center Gdansk, DNV GL, Schibsted Media Group, Kainos and Asseco. The Gdansk Science & Technology Park and the Alchemia complex form the tech-physical cluster. This blend of heavy industry, port logistics and software engineering creates regulatory demands that do not exist in this combination in any other Polish city.

The three regulatory hurdles for AI in the Gdansk market

First, the Urzad Morski and maritime regulation: the Port of Gdansk operates under the authority of the Polish maritime administration, under the EU Port Regulation and under a stack of international conventions (SOLAS, MARPOL, ISPS Code). AI that classifies container movements, reviews customs documentation or optimises freight routes must be able to justify every decision against these frameworks. A mis-classification of a hazardous-goods container is not only a compliance incident but is reportable to the EU Commission and can halt port operations.

Second, UODO and KNF for banking and insurance operations in Gdansk: PKO BP, Bank Pekao and several insurers run regional operations centres in the Tri-City. For automated applications and claims handling, KNF and UODO expect the same evidence as in Warsaw - documented model foundations, a complete Audit Trail and a demonstrable human final decision on every risk case. At Amazon Development Center Gdansk, the EU AI Act (UK: UK AI regulatory framework) additionally applies to model training on consumer-relevant datasets.

Third, the EU AI Act in combination with Polish data protection law and sector-specific requirements: DNV GL as a global classification services provider issues certificates that have to be accepted across the shipping industry. AI-supported certificate reviews fall inside the conformity assessment regime of the EU AI Act, and under the specific requirements of the International Maritime Organization. Productive AI in classification in Gdansk needs an architecture that can serve several supervisory bodies at once.

Typical deployment scenarios in Gdansk

Port of Gdansk container tracking: across millions of container movements per year, every classification - contents, origin, destination, hazardous-goods status - has to be correct and traceable. Document Agents extract structured data from freight papers and customs documentation, and the Decision Layer routes suspicious cases to human customs inspectors with an enforced final decision on hazardous goods.

Lotos refinery logs: the Lotos refinery in Gdansk generates millions of sensor data points and maintenance reports per day. Workflow Agents classify anomalies by safety relevance, the Decision Layer enforces Human-in-the-Loop on safety-critical findings and logs every decision in the Audit Trail - an explicit requirement from the Wojewodzki Inspektorat Ochrony Srodowiska.

Amazon Development Center model-training compliance: Amazon’s Gdansk site develops models for consumer applications. Document Agents check training datasets against UODO and EU AI Act requirements, document the data provenance and automatically block the use of datasets without a sufficient legal basis.

DNV GL certificate review: DNV’s classification function in Gdansk assesses ships, platforms and components against international standards. Document Agents extract technical specifications, reconcile them against the applicable norms and route conformity decisions to human auditors - the whole process documented audit-firm.

How Gosign serves Gdansk from Krakow

Gosign handles Gdansk projects out of the Krakow office (gosign.pl) with Polish-speaking engineers and project managers. The Krakow team covers the Trojmiasto region (Gdansk, Gdynia, Sopot) with regular on-site presence - in the Gdansk Science & Technology Park, inside the Alchemia cluster, and directly with stakeholders at the Port of Gdansk, Lotos, Intel Gdansk, Amazon Development Center and DNV GL. Discovery runs as a two-day on-site session, with Polish-speaking domain owners, a compliance function and a Rada Zakladowa representative at the table. Build and sprint reviews then run with the Krakow team, in Polish and English, with monthly on-site steering in the Tri-City and short-notice travel for escalations with Urzad Morski or customs. The Krakow team’s maritime logistics experience meets the Hamburg team’s architecture and port compliance expertise - Hamburg handles the interface to HPA, German customs and the EU Port Regulation; Krakow handles operational delivery inside the Polish port reality.

Why Gdansk is a strong starting point for Enterprise AI

Gdansk is the hardest Polish AI market because the regulatory landscape is the most complex - port authority, KNF, UODO, EU AI Act and international shipping regulation all interlock. That is exactly what makes Gdansk the ideal stress test. An AI agent that meets the requirements of the Port of Gdansk has been built on an architecture that functions in practically every other logistics-intensive EU market. The Gdansk Science & Technology Park and the Alchemia cluster offer engineers with this multi-domain experience, and the Politechnika Gdanska delivers a continuous pipeline of talent.

For German mid-market firms with Baltic logistics, Gdansk is often the first foreign location where Enterprise AI is genuinely needed - and therefore the place where the architecture first has to prove itself in a real regulatory wind. The Hamburg-Gdansk axis connects two of Europe’s most important Baltic ports; what exists in Hamburg in terms of compliance experience with HPA, German customs and the EU Port Regulation transfers directly to Gdansk. A successful deployment in Gdansk therefore not only opens the Polish market but also provides an architectural blueprint that can be rolled out with minimal adjustment in Warsaw, Krakow and Wroclaw. Cert-Ready by Design here means in concrete terms: a platform that has proven its fitness under Poland’s tightest regulatory pressure. More context on our approach in Poland is available in the Poland overview.

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

Which sectors in Gdansk benefit from AI Agents?

Maritime logistics (Port of Gdansk), energy (Energa, Orlen), IT (Tricity Tech Cluster). Document Agents for logistics documentation, Workflow Agents for regulatory processes.

How does Gosign manage projects in Gdansk?

From our Krakow office, with on-site presence in Gdansk for meetings and workshops as needed.

How quickly is a first AI agent productive?

4-6 weeks. On your infrastructure.

Is the EU AI Act relevant for enterprises in Gdansk?

Yes. The EU AI Act is directly applicable in Poland. Enterprises using high-risk AI must meet transparency and human oversight requirements - our agents implement them by design.

Which process should your first agent handle?

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

Schedule a consultation