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AI Agents for enterprises in Krakow and Poland

On your infrastructure. Under your control.

Airbus Volkswagen Shell Renault Evonik Vattenfall Philips KPMG

Krakow is Poland’s second-largest technology centre after Warsaw - and home to our project office. Enterprises such as Comarch, Nowy Styl Group, and CANPACK need AI that is auditable and EU AI Act compliant. Poland’s IT sector is growing rapidly, but governance often lags behind deployment. From our Krakow office, we manage client projects across Poland - local project manager, local language, local time zone. The Works Council (Rada Zakladowa) holds information and consultation rights for AI system deployment - our agents are architecturally prepared.

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