AI / ML
Agent Orchestration
Coordinating multiple specialized AI agents to work together on complex tasks — routing questions to the right agent, sharing context between agents, resolving conflicts when agents disagree, and synthesizing insights across domains. A question such as 'should I increase Meta spend?' may need an attribution check, a forecast of the impact, and a scenario comparison, each from a different specialist, with the orchestrator responsible for sequencing them and reconciling the answers into one recommendation.
Why it matters
It is where multi-agent systems usually fail: not in any single agent, but in sequencing them and reconciling answers that disagree.
In practice
Watch what happens on a conflict. A system that silently picks one answer is hiding the disagreement rather than resolving it.
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