Cert-Ready by Design
Controls as data objects, evidence automated, auditor portal live. Certification readiness is not a project but an architectural state.
View Cert-Ready ControlsGovernance, Security & Audit
AI agents only scale with infrastructure. Infrastructure only scales with governance.
Governance by Design
Gosign builds AI agents for enterprise environments. These environments have requirements for traceability, auditability, and control that go beyond what a standard LLM deployment provides.
Governance by Design means: every agent is built from the ground up with the mechanisms that auditors, works councils, and compliance teams expect. This is not an optional layer added after the fact. It is an architectural principle.
Five Governance Dimensions
1. Audit Trail & Traceability
Every AI agent decision generates a complete decision record: input (document, query, data point), model and model version, professional assessment and confidence score, applied rule with rule version, decision path (autonomous or Human-in-the-Loop), result and timestamp.
The audit trail is immutable, exportable, and machine-readable. Auditors can trace every agent decision from input to outcome.
2. Decision Layer
The Decision Layer is the architectural layer between AI agent and target system. It makes every LLM decision transparent, auditable, and traceable. The agent analyzes, understands, and evaluates. The Decision Layer documents the decision path and controls routing:
Autonomous decision: Where the model can decide securely and in compliance with rules.
Human-in-the-Loop: Where bias risk, discrimination potential, or co-determination issues exist -- architecturally enforced, not optional.
Every human override is documented. Every rule version is assigned. Every decision is reproducible.
3. Cert-Ready by Design
Controls are first-class data objects in the system -- not documents in a folder. Every control has: technical implementation (RLS policy, trigger, API check), automatic evidence generator, evidence history with timestamp, status, version, auditor view with drill-down to the concrete implementation.
The system proves itself. Auditors see the live status in the Auditor Portal.
4. Co-determination & Works Council
AI agents in German enterprises are subject to co-determination. The Gosign architecture addresses this as a design principle: works agreements as explicit constraints in the Decision Layer, the works council can trace what the agent does, why, and when a human intervenes. Templates, logging, role concepts, and audit trail are part of the architecture.
5. EU AI Act
The Gosign architecture addresses the central requirements of the EU AI Act as a design principle: Transparency (Art. 13) -- Decision Layer documents every decision path. Human oversight (Art. 14) -- Human-in-the-Loop architecturally enforced. Record-keeping (Art. 12) -- complete audit trail with timestamps, input hashes, model versions. Risk management (Art. 9) -- Governance layer with bias monitoring, confidence tracking, anomaly detection.
Architecture Overview
The governance layer is not a separate component. It spans all layers of the agent architecture:
┌─────────────────────────────────────────────────┐ │ Presentation Layer Chat UI, Dashboard, API │ ├─────────────────────────────────────────────────┤ │ Orchestration Layer n8n/Camunda, API GW │ ├─────────────────────────────────────────────────┤ │ Agent Layer Document, Workflow, │ │ Knowledge Agents │ ├─────────────────────┬───────────────────────────┤ │ GOVERNANCE LAYER │ Audit Trail, RBAC, │ │ (Cross-cutting) │ Decision Layer, │ │ │ Cert-Ready Controls │ ├─────────────────────┴───────────────────────────┤ │ Model Layer Claude, ChatGPT, Llama, │ │ Mistral, DeepSeek │ ├─────────────────────────────────────────────────┤ │ Integration Layer SAP, DATEV, MS Graph │ ├─────────────────────────────────────────────────┤ │ Infrastructure Layer Azure, GCP, Self-Hosted │ └─────────────────────────────────────────────────┘
Governance in Detail
Co-Determination
Works agreements as constraints. Human-in-the-Loop for co-determination decisions. Technically enforced, not just organizationally agreed.
View Co-DeterminationEU AI Act
EU AI Act compliant by design. Architecture mapping to Art. 9-14. Transparency, explainability and human oversight as fundamental architecture.
View EU AI Act ReadinessReference Architecture
7-Layer Enterprise AI Architecture. Governance as cross-cutting concern. Presentation, Orchestration, Agent, Governance, Model, Integration, Infrastructure.
View ArchitectureData Residency & GDPR
All data remains in the client's infrastructure. EU-only processing, Row-Level Security, tenant isolation, complete data sovereignty.
View Data ResidencyGovernance Applies to Every Agent
Governance by Design is not a feature of a single product. It is an architectural principle that applies to every AI agent Gosign builds -- whether HR Agent, Finance Agent, Document Agent, or Knowledge Agent.
Same governance. Same auditability. Same infrastructure.
Frequently Asked Questions about Governance
What does Governance by Design mean?
Governance is not a retroactive compliance layer but an architectural principle. Every AI agent is built from the start with audit trail, role-based access control, Decision Layer, and Human-in-the-Loop.
Is this ISO 27001 certified?
Our system is structurally prepared for certification (Cert-Ready by Design). Controls are technical data objects with automatic evidence generation. When certification is required, the architecture is prepared for it.
How is the works council involved?
The Decision Layer makes every agent decision transparent and traceable. Works agreements are mapped as explicit constraints in the system. Templates, logging, and role concepts are part of the architecture.
Talk to us about governance.
Audit trail, compliance, auditor portal. We will show you how the Governance Layer works in your infrastructure.
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