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.
Gosign develops Enterprise AI Agents for enterprises in Hamburg and Northern Germany - from our Hallerstrasse headquarters, with on-site project management. Hamburg is our home base: executive leadership, governance architecture, and client projects for the DACH region. Our training centre at Grindelberg 77 hosts discovery workshops, training sessions, and joint development sessions. For enterprises such as Airbus, headquartered in Hamburg, this means: short distances, personal contact, and an implementation partner who understands the Northern German enterprise landscape.
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.”
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
Yes. Our training centre at Grindelberg 77 (20144 Hamburg) is available for discovery workshops, training sessions, and joint development sessions.
4-6 weeks from first consultation to productive agent. Discovery: 1 week. Build: 3-4 weeks. On your infrastructure, not in a sandbox.
No. Our architecture scales from mid-sized enterprises with approximately 200 employees to DAX-listed corporations. The starting point is always the same: one process, one agent, productive.
Our clients in Hamburg and Northern Germany include Airbus, among others. Further references available on request.
Talk to us about a specific use case in your organisation.
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