AI Governance for Regulated Environments
Compliance, auditability and trustworthiness — built in from day one.
Governance, Audit & Human-in-the-Loop
Controllable AI with full transparency. Every decision traceable, every action auditable.
Risk classification & monitoring built into every layer – designed for production operations from day 1, not as a pilot artifact.
Governance & Audit
Cognitive Hive answers three fundamental questions for every AI action.
Who can do what?
Identities & roles for humans and agents. Access to Context Cells & systems only via the Hive with explicit permissions.
What is allowed?
Policies as Code. Guardrail agents check every action — data access, decisions, text outputs — against defined rules.
What happened & why?
Complete logs, Why-Graphs & KPIs. Risk & compliance services for AI Act, GDPR, internal policies.
Autonomy Levels in Detail (0–3)
Autonomy Levels (0–3)
Agent suggests, human decides and executes
Automated for clear cases within defined parameters
Random checks of automated decisions
End-to-end automation with monitoring
Critical decisions always require HITL & approval. The AI Governance Board sets autonomy levels per use case and monitors error rates, overrides and policy violations.
Why-Graph & Evidence Ledger
Why-Graph & Evidence Ledger
Every decision creates an immutable trace that connects rules with evidence, actions and outputs.
Revision Replay
Re-execute old decisions with the original ruleset. Compare results when rules change.
Diff View
"Which rule changed the result?" Side-by-side comparison of decision paths. Audit reports automatically generated.
Quality
Accuracy, completeness, consistency
Fairness
Bias monitoring, demographic parity
Performance
Latency, throughput, efficiency
Dual-Key Actions & Rule-Based Control
Dual-Key Actions & Rule-Based Control
Critical AI actions always require two keys: Agent AND human. No agent acts alone.
Dual-Key Actions
Two keys for critical actions: Agent proposes, human confirms. No decision, no approval without human signature.
Rule-Based Verification
Every verification step is bound to a regulation. The agent shows which rule it applies and why — before it acts.
Four-Eyes & Escalation
Spot checks, auto-escalation on uncertainty, four-eyes principle for critical decisions. Planner plans — case worker decides.
ChangeOps — Regulatory Changes Become Releases
Regulatory Changes Become Releases
Laws change. With ChangeOps, every regulatory change becomes a controlled release — not an emergency patch.
Detect & Analyze
Capture change, identify affected areas
Test & Validate
Update rules, ensure quality
Roll Out & Document
Controlled go-live, create evidence pack
Result: Every regulatory change is traceable, tested and documented — before it affects production operations.
Production First AI Application Governance
Production First AI Application Governance
We productionize AI solutions — together with partners, designed for production operations from day 1.
Most AI projects don't fail because of technology – they fail on the path to production.
Senticor accompanies your AI solution through the entire lifecycle: From the first idea through development to stable production operations. We handle not only the implementation, but also ongoing operations, monitoring and continuous improvement — together with partners.
Analyze use case, verify feasibility, define governance requirements
Build agents, structure cells, implement policies
Deployment, integration, training, pilot operation with real users
24/7 monitoring, updates, support, continuous optimization
What "production-ready" means for us
Not just deploy — but operate, secure and continuously improve.
Our Promise
You focus on your core business – we ensure your AI solution runs reliably, stays compliant and continuously improves.
Product Governance & Support Governance — Two Pillars
Product Governance & Support Governance
Governance at Senticor is not an add-on — it is divided into two clearly defined pillars that cover the entire lifecycle.
Product Governance
Build & Ship — secure and compliant. Governance for the development and delivery of AI Composables.
Support Governance
Run & Operate — reliable and maintainable. Governance for ongoing operations and continuous improvement.
Hive Release Package — Definition of Done
Hive Release Package
Our approach requires every delivery to contain four mandatory packages — only when all are present is a release considered complete.
Knowledge
Context cells, graphs, source references
Composable
Process logic, UI, tests, deployable
Evidence
Audit trail, chain of evidence, compliance protocol
Ops
Monitoring, policies, runbook, SLA
Governance Requirements?
We'll show you how Cognitive Hive automates compliance.