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AI Agents for enterprises in Stuttgart and Baden-Wuerttemberg

On your infrastructure. Under your control.

AirbusVolkswagenShellSonyEvonikPhilipsKPMG

Stuttgart is the capital of Germany’s Mittelstand and automotive industry. Daimler, Bosch, Porsche, ZF Friedrichshafen - enterprises that need AI not as an experiment but as a production factor. Baden-Wuerttemberg has over 1,500 hidden champions, the highest concentration of world market leaders in Germany. Document Agents for incoming invoices and delivery notes, Workflow Agents for procurement and quality management, Knowledge Agents for technical documentation and standards - the use cases in the mid-market are concrete and immediately actionable. We serve clients in Baden-Wuerttemberg from Hamburg - dedicated project management, on-site meetings within one day.

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 don't fail because of technology. They fail 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

What are the use cases for AI Agents in mid-market enterprises?

Document Agents for incoming invoices, delivery notes, and contracts. Workflow Agents for procurement, onboarding, and quality management. Knowledge Agents for technical documentation, standards, and company agreements.

Does the architecture scale for smaller enterprises?

Yes. Our architecture scales from approximately 200 employees upward. The starting point is always the same: one process, one agent, productive in 4-6 weeks.

How does Gosign serve clients in Stuttgart?

From our Hamburg headquarters with dedicated project management. On-site meetings in Stuttgart within one day. Discovery workshops at your location or in Hamburg.

Are the agents works council compatible?

Yes. The Decision Layer with Human-in-the-Loop architecturally enforces human review for decisions subject to co-determination (Mitbestimmung) under Section 87 of the Works Constitution Act.

Which process should your first agent handle?

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

Book a meeting