AI infrastructure for governance

RAG architecture for reliable, auditable AI in Malaysia and Asia.

iKB separates knowledge ingestion, retrieval, policy, model routing, channel delivery, and audit so each AI governance control can be inspected and operated independently.

Sources iKB Control Plane Channels Documents Storage Systems Ingestion and Index Retrieval Engine Policy Layer Model Gateway Audit Trail Workspace Messaging API
Governance layers

Controls are explicit at each layer of the AI infrastructure.

Data layer

Connectors, document processing, metadata, content hashing, versioning, and provenance capture.

Retrieval layer

Hybrid retrieval, reranking, structural anchors, graph relationships, and source selection.

Policy layer

Topic configuration, prompt versions, guardrails, DLP, retention, moderation, and redaction.

Delivery layer

Workspace, web chat, Slack, Teams, WhatsApp, Telegram, and API surfaces using shared controls.

Malaysia deployment patterns

Choose the operating boundary that matches your data, sector, and regulatory posture.

HostedFastest path for pilots and standard enterprise knowledge use cases.
Private cloudDedicated infrastructure and tighter environment isolation for sensitive programs.
On-premiseRun the platform close to internal systems and data stores.
Air-gappedOperate with local models and no external dependency where sovereignty requires it.
Architecture review

Bring your security, IT, and data teams into the evaluation early.

Schedule review Deployment options