Authoritative Runtime Governance
for Enterprise AI
Govern how AI decisions are evaluated, enforced, approved, and audited across enterprise systems. Centralize governance authority independently from application and agent logic.
How iAgentic Works
Illustrative Decision Flow
What You Can Use Today
Real-Time Policy Enforcement
Every AI request intercepted and evaluated against centralized policy before execution.
Human-in-the-Loop Approvals
Stateful approval workflows for high-risk AI actions with full context preservation.
Immutable Audit Trail
Append-only decision records with cryptographic integrity for forensic reconstruction.
Operational Consequences of Uncontrolled AI Execution
Enterprise AI systems cannot be safely operationalized without authoritative, deterministic runtime governance.
Unsafe Autonomous Execution
Probabilistic models bypass safety checks without runtime interception.
Untraceable Decisions
No way to reconstruct what policy governed a specific AI action.
Embedded Governance
Governance in app code creates policy drift and fragmented enforcement.
Shadow-Agent Sprawl
Unmanaged agents operating without centralized policy authority.
Real Failure Modes iAgentic Is Built to Contain
Concrete operational scenarios where traditional AI governance breaks down — and how runtime enforcement contains them.
Unauthorized ERP Transaction
An AI procurement agent creates a purchase order in SAP without centralized approval. Embedded workflow checks drift over time.
Prompt Injection to Tool Execution
An internal copilot is manipulated into invoking CRM write operations. Gateway-level filters miss the semantic intent.
Audit Reconstruction Failure
Six months after an AI-assisted decision, a regulated enterprise cannot reconstruct the exact policy or approval state.
Shadow-Agent Sprawl
Teams deploy autonomous agents across departments without centralized authority or consistent policy enforcement.
The iAgentic 3-Layer Model
Conceptual system view
Strategic Separation: We decouple governance intent from technical execution to ensure enterprise agility and security.
Control Plane
Governance Brain
Centralized management for policy authoring, compilation, and deployment orchestration.
Explore ArchitectureAbstraction Layer
Execution Abstraction
Standardized interface that decouples governance logic from commodity infrastructure.
Explore ArchitectureEnforcement Fabric
Runtime Control
High-performance, distributed layer that intercepts and governs live AI traffic.
Explore ArchitectureGeneric AI tools focus on generation. iAgentic focuses on control.
Built for Production, Not Experiments
| Feature | Traditional AI Tools | iAgentic System |
|---|---|---|
| Enforcement | Post-hoc monitoring & alerts | Real-time deterministic enforcement |
| Governance | Embedded in application logic & prompts | Authoritative centralized control plane |
| Audit | Fragmented application logs | Immutable decision lineage & evidence |
| Reliability | Probabilistic 'Best Effort' | Deterministic Execution Control |
| Execution | Unsafe autonomous action | Governed runtime interception |
| Failure Mode | Fail-open (undefined behavior on error) | Fail-closed (always DENY when uncertain) |
| Cost Control | Post-hoc spend alerts | Pre-execution budget enforcement with token-level attribution |
Enterprise Use Cases
How the world's most regulated industries use iAgentic to scale AI safely.
AI Governance for Regulated Industries
Enforce strict data sovereignty and compliance policies across all AI-driven workflows in finance and healthcare.
Read Solution BriefLLM Access Control
Granular, identity-aware control over which users and systems can access specific models and data sources.
Read Solution BriefAgent Workflow Oversight
Deterministic guardrails for autonomous agents, ensuring they never exceed their authorized operational bounds.
Read Solution BriefCompliance Automation
Automatically generate audit-ready documentation for every AI decision, reducing the burden on compliance teams.
Read Solution BriefReady to bring authoritative governance to your AI?
Join the enterprises operationalizing autonomous AI safely with iAgentic.