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 detailOn your infrastructure. Under your control.
A selection from over 5,000 projects in 25 years of software development
Dublin is not just another European capital - it is the regulatory capital for US tech in Europe. Google EU, Meta EU, LinkedIn EU, Microsoft EU, Stripe EU and Apple have their European headquarters here, because Ireland offers a combination of tax regime, English language and political stability. Add the Irish heavyweights: AIB (Allied Irish Banks), Bank of Ireland, Accenture (with its global headquarters in Dublin), Ryanair, Kerry Group and CRH (one of the world’s largest building materials groups). The Silicon Docks at Grand Canal concentrate more engineering talent for trust and safety, compliance engineering and AI governance into a few square kilometres than any other European city - because the supervisor for exactly those topics sits here.
The first is the Data Protection Commission (DPC). Because of the GDPR one-stop-shop principle, the DPC is the lead supervisor for almost all US tech corporates with EU headquarters in Ireland - and therefore in practice the most important GDPR authority in the entire union. The DPC has issued several billion-euro fines against Meta, Google and WhatsApp in recent years and has by now extended its scrutiny to AI modelling and training data under the GDPR regime. Anyone building AI in Dublin is building for an authority that examines every training data source, every automated decision and every cross-border transfer in detail.
The second is the EU AI Act, which is directly applicable in Ireland. The Irish government has named the Department of Enterprise, Trade and Employment as the competent body for national implementation and works closely with the DPC. High-risk AI systems from tech corporates with EU headquarters in Dublin will in future be certified here - and the expectation is that the standards will be applied above average strictly, because Dublin politically has to prove that it is not a supervisory loophole.
The third is the Central Bank of Ireland for all financial services firms. Stripe, Mastercard EU, Citi EU, Goldman Sachs EU - they are all under CBI supervision and have to document AI-driven compliance and risk models against the CBI Innovation Hub standards. The CBI requires full explainability, Audit Trails and continuous model monitoring. EU AI Act compliance and financial supervision have to interlock here.
Google uses Dublin as a global hub for AI model governance and works here on compliance tooling that has to make every model decision explainable to the DPC. Meta documents the Digital Services Act (DSA) here and audits content moderation models for systemic risks - every algorithmic decision needs an Audit Trail. Stripe builds global payment risk models that block or release transactions in seconds - the models have to remain traceable for the CBI. AIB modernises credit decisions and needs models that are defensible under Article 22 GDPR and the Central Bank Code of Conduct in equal measure.
In every case the decisions have global reach but the supervision happens in Dublin - often with short reaction times and tough questions on model behaviour, training data and bias mitigation. The Decision Layer addresses exactly that: it persists every AI decision as a trace, enforces Human-in-the-Loop on critical paths and supplies Audit Trails that hold up to DPC and CBI examiners.
The Irish particularity is the DPC’s posture: unlike some EU supervisors that act mostly on complaint, the DPC runs proactive inquiries on a regular basis. Anyone who runs an AI application in production in Dublin has to expect that the DPC will, without warning, ask to see documentation, training data provenance and model decisions. Cert-Ready by Design here does not mean “when the audit comes” - it means permanently audit-ready.
Hamburg-Dublin is a direct flight of around two hours, with several daily connections. We work remote-first with clients in Dublin and Cork, with on-site workshops for discovery and architecture decisions. The working language is English, the steering rounds with our Hamburg architects run in German. The time zone (Ireland WET, one hour behind CET) is manageable, the Irish business style is pragmatic and decision-friendly.
What we bring from the German market is the discipline of engineering under strict supervision. The German banks we serve have compliance demands from BaFin and MaRisk that are comparable to what Irish tech corporates face from the DPC and CBI - the regulatory tonality is familiar, the technical answers transfer directly. We know the Irish tech supervisory regimes well enough not to have to translate every term first, and can offer concrete architecture decisions in the discovery workshop.
Dublin has the highest regulatory bar for AI in Europe - and at the same time the largest concentration of engineering competence for AI governance. Anyone who builds a Cert-Ready by Design pilot here has a reference case that is immediately defensible in any other EU market and that holds up to the DPC. The Silicon Docks cluster, Dublin Tech Cluster and the Enterprise Ireland AI programme supply talent, ecosystem and pilot partners.
The second advantage: anyone building AI in Dublin learns by default how pan-European compliance works. Most Irish tech corporates operate across all 27 member states at the same time - any architecture has to handle jurisdiction-specific rule sets without fragmenting the Audit Trail. That is exactly what Governance by Design delivers. Hamburg supplies the German engineering discipline, Dublin supplies the EU-wide rollout.
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.
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 detailSteer business processes across multiple systems and decision points. One agent, complete orchestration. Every step in the audit trail.
HR AI AgentsAnswer questions from enterprise knowledge - with source reference, rule version, and validity date. No verified source, no answer.
Knowledge Agents in detailAuditable. 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
1 week
Process analysis, understand rule sets, prioritise use cases.
3–4 weeks
Productive PoC. One agent, one process, live on your infrastructure.
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.
Analysis and insights on enterprise AI, governance, and agent architecture.
Most AI projects fail not because of technology but because nobody defined the rules. Why the operating model matters more than the language model.
The EU AI Act directly affects HR processes. Risk classification, bias monitoring, human oversight - what is now mandatory and how to prepare.
Agent governance is not an IT topic. It's an HR leadership topic. What CHROs need to know before AI agents enter core HR processes.
„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.”
„Gosign is not just about speed. It's about how much essential work happens in this time.”
Talk to us about a specific use case in your organisation.
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