External & Agentic AI Governance
An organisation can outsource technology, infrastructure and operational activity. It cannot outsource accountability for how those dependencies affect its decisions, its users and its obligations.
RuleBridge helps organisations govern the AI they do not fully control: the vendors, platforms, models, data sources and external contributors through which AI enters the organisation — and, increasingly, the agents that act across its boundary with delegated authority.
- Where does third-party AI already exist across the organisation — and which dependencies are material?
- How is responsibility divided between the organisation and each provider, and what does each function own?
- How are material vendor, model or platform changes identified, assessed and acted on?
- What may an agent access, decide or do — under whose authority, and within which limits?
- How are incidents that cross organisational boundaries detected, escalated and resolved?
- How does the organisation exit or transition a dependency without losing control, evidence or continuity?
- How should external expert, contributor or reviewer networks be governed?
- Third-Party AI Governance Baseline
- Vendor & Dependency Oversight Design
- AI Procurement Governance
- Agentic AI Governance Framework
- Platform & External-Network Governance
- Transition, Exit & Contingency Design
A third-party AI inventory and tiering model; a responsibility and dependency map; AI-specific procurement and intake requirements; a delegated-authority and agent-boundary model; a change-notification and oversight model; a cross-party incident and escalation protocol; a transition and exit plan; an external-network governance model; and an ongoing review cadence.