How Cognitive Hive Works
From regulatory requirements to production-ready AI systems
From Data to Intelligent Decisions
Generation Pipeline & Context Packages
From regulatory requirements to deployable case-system components.
Build/Eval/Deploy — automated, quality-assured, production-ready.
Supported Process Standards (BPMN, FIM, KGSt, ...)
Supported Process Standards
Cognitive Hive understands and processes established public administration standards – for seamless integration into existing process landscapes.
XÖV Standards
XML-based data exchange formats for e-government
OZG Services
Online Access Act compliant administrative services
SAGA
Standards and architectures for e-government
Custom Processes
Your individual workflows and procedures
The Pipeline in 3 Steps
Regulations, process standards, and laws are ingested and organized into versioned Context Cells — traceable and with clear accountability.
AI agents assemble Context Cells into deployable Composables (PBCs) — including process logic, UI, and automated quality assurance.
Production release with complete audit trail. Ongoing monitoring, rule updates and continuous improvement included.
Specialized AI Agents in Detail
Specialized AI Agents
No generic chatbots — specialized agents that work together in coordination. Each agent receives its own context package and is governed by clear policies.
Analysis & Compliance
Understand documents, extract requirements, check rules and identify risks.
Build & Integration
Model processes, generate components and connect systems.
Quality & Operations
Validate results, test artifacts and monitor production quality.
Coordinated Collaboration: The agents communicate, share context and orchestrate complex tasks together — governed by Hive policies.
Agentic Factory (End-to-End)
From knowledge ingestion to citizen application — the complete transformation pipeline.
Normalization, structuring & interactive refinement
Shadow mode tests, IT specs & UX generation
Production release with monitoring & maintenance
The AI Assistant for Your Authority
The AI Assistant for your authority
Employees receive traceable answers from all authority knowledge – structured, source-based and always current.
Precise Answers
Questions about regulations, processes or responsibilities are answered directly from the Knowledge Graph – not guessed.
With Source References
Every answer contains references to underlying documents – paragraphs, guidelines, process descriptions.
Structured & Clear
Complex matters are clearly presented – with steps, checklists and recommendations.
Typical Use Cases
Quality Criteria
Tests & Validation
- Shadow mode (parallel test run without impact) against real cases
- KPI framework: Quality / Bias / Speed
- Routing & fallback per skill/cell (Model Router)
- Automated regression tests
Action Gates
- Tool calls only via Hive roles & policies
- Forbidden actions automatically blocked
- Autonomy level 0–3 per cell
- Complete audit trail for every action
Context-Flow Overview
Production Operations for AI Solutions
Production Operations for AI Solutions
On-Premise or Cloud · OSS Ecosystem · Production-Ready
Monitoring & KPIs
- Real-time dashboards
- Quality/Bias/Speed metrics
- Automatic alerts
- Performance tracking
CI/CD Pipeline
- Automatic deployment
- Shadow mode testing
- Rollback capability
- Blue/Green deployments
Registry & Versioning
- Agent registry
- Skill catalog
- Version management
- Dependency tracking
Deployment Options
Frequently Asked Questions
Why not just use rule mapping (Law-as-Code)?
Rule mapping is excellent for clear, static decision logic. Cognitive Hive targets dynamic rule application with connected knowledge: norm references, context retrieval, deep audit chains, automatic updates — especially valuable with high norm density and complex dependencies.
How long does pipeline setup take?
Initial setup for a pilot use case typically takes 4–8 weeks, including knowledge ingestion, context cell modeling and shadow mode evaluation. Production rollout follows after successful validation.
What happens when an agent makes a mistake?
Every action is logged with full provenance. Errors trigger automatic escalation based on autonomy levels. The Why-Graph enables root cause analysis, and Replay allows re-executing decisions with corrected rules.
The Intelligent Process — Citizens, AI and Case Workers
The Intelligent Process
Citizens, AI and case workers collaborate seamlessly
From Idea to Productive Building Block in Weeks
See in 30 minutes how your processes can be transformed with Cognitive Hive — with full transparency and Human-in-the-Loop.