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Research & strategy2025

Federated agents

Agents that work across organisations without pooling their data in one place.

Three architecture models comparedDrawn from p. 29
Centralised platformData pooled in one central lake
Hybrid federatedData kept at source, fetched on demandRecommended
Fully decentralisedData kept fully local

Findings

  1. 01

    Adopting a hybrid federated architecture with a central orchestrator and distributed domain agents to balance efficiency with autonomy.p. 38

  2. 02

    Centralized AI orchestration can streamline control – one system coordinating decisions – but it often requires pooling data into a central repository or data lake.p. 6

  3. 03

    These use cases show tangible benefits: improved responsiveness, user-centric service “bundling”, and efficiency gains from reducing manual intervention.p. 9

AI agents · AI governance
  1. From the report

    A templated approach based on the pilot will allow reuse of proven design patterns, streamlining agent communication while adapting to domain-specific requirements.p. 32

    Impact targets for the end of 2028Drawn from p. 32
    User satisfactionover 85%
    Faster service resolution times30%

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