Start HereAI PulseCore Ideas

Control Plane for AI Operations

Separates policy and control concerns from model and application logic so enterprise AI can be operated reliably.

Definition

The governance and runtime layer that enforces policy, observability, and intervention across AI workloads.

Prerequisites

• Agentic Operating Model

Enterprise AI needs a control plane, not only model quality.

Core capabilities:

Access and tool permissions by role and context
Continuous evaluation and exception routing
Incident playbooks with rollback mechanics
Unified telemetry for model, agent, and business outcomes

This architecture reduces unmanaged agent behavior and makes scaling auditable.

Related

Core Ideas

Agentic Operating Model
A design approach where autonomous and semi-autonomous AI agents are treated as first-class operational actors.

AI Pulse

From Copilot to Co-Worker - The Enterprise Shift
Enterprises are moving from assistive AI to delegated AI work. The architecture consequence is a shift from prompt quality to operating model design.

Dev10x Brief

Weekly enterprise AI interpretations + operating model playbooks.

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