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 detailAI Agents for enterprises in Zurich and Switzerland
On your infrastructure. Under your control.
Zurich is one of the world’s leading financial centres, home to UBS, Swiss Re, Zurich Insurance, and a growing fintech ecosystem. Switzerland operates under its own Federal Act on Data Protection (FADP/nDSG), aligned with but distinct from EU GDPR. For Swiss enterprises with EU operations, dual compliance is required. The Swiss approach to AI governance emphasises proportionality and sector-specific regulation. Gosign’s Decision Layer supports jurisdiction-specific rule sets that handle Swiss FADP and EU GDPR simultaneously, with audit trails that satisfy both FINMA and EU regulatory requirements. We manage Zurich projects from Hamburg - a direct flight connection. See also Amsterdam and London. Contact →
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.
Three agent types for your department
Workflow Agents
Steer business processes across multiple systems and decision points. One agent, complete orchestration. Every step in the audit trail.
HR AI AgentsKnowledge Agents
Answer questions from enterprise knowledge – with source reference, rule version, and validity date. No verified source, no answer.
Knowledge Agents in detailGovernance 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.
HR & People Operations
Why AI Projects in HR Fail
Most AI projects don't fail because of technology. They fail because nobody defined the rules. Why the operating model matters more than the language model.
Governance & Compliance
EU AI Act: What HR Departments Must Do Now
The EU AI Act directly affects HR processes. Risk classification, bias monitoring, human oversight - what is now mandatory and how to prepare.
HR & People Operations
Why HR Departments Need to Build Agent Governance Now
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.”
Head of Innovation, Sony Music Entertainment
“Gosign is not just about speed. It's about how much essential work happens in this time.”
Head of Customer Service & Technical Support, Libri GmbH
Frequently Asked Questions
How does Gosign handle Swiss data protection?
The Decision Layer supports Swiss FADP (nDSG) and EU GDPR simultaneously through jurisdiction-specific rule sets. Audit trails satisfy both FINMA and EU regulatory requirements.
Does Gosign have presence in Zurich?
We manage Zurich projects from Hamburg - direct flight connection. On-site availability for workshops and key meetings.
How quickly is a first AI agent productive?
4-6 weeks. Discovery: 1 week. Build: 3-4 weeks. On your infrastructure.
Which process should your first agent handle?
Talk to us about a specific use case in your organisation.
Book a meeting