KEY FACT
THE SIX CONCERNS OF THE BOARD CAN ALL BE ADDRESSED THROUGH A CLEAR BUSINESS CASE, SOLID OPERATING MODEL OF FEDERATED AI PLATFORM AND
IMPLEMENTATION ROADMAP
KEY FACT
THE SIX CONCERNS OF THE BOARD CAN ALL BE ADDRESSED THROUGH A CLEAR BUSINESS CASE, SOLID OPERATING MODEL OF FEDERATED AI PLATFORM AND
IMPLEMENTATION ROADMAP
2.6.3 Operating model: Federated AI platform The most effective operating model for scaling agentic AI across the enterprise is Federated: a Central AI Platform Engineering team maintains shared infrastructure and governance, while business units innovate on top. It is avoiding both the bottleneck of full centralisation and the chaos of full decentralisation. This model resolves the # 1 scaling challenge:“ every team rebuilds the same foundation independently.”
Central AI Platform Team Owns Business Units Own
Model gateway and cost allocation
Use case identification and prioritisation
Guardrails, safety policies and compliance controls
Domain-specific agent design and testing
Agent observability and monitoring infrastructure
Business outcome measurement
Shared tool registries( MCP servers, APIs)
Change management and adoption
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