AI Multi-Agent System Boosts Output for London Agency 45% FasterAI Multi-Agent System Boosts Output for London Agency 45% Faster
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A London agency needed to scale output without adding headcount. I designed a multi-agent AI system: three specialized agents (WordPress, support, marketing), each with confidence scoring, escalation logic, and a human review gate before every output.
Not just prompts — real architecture: FastAPI + Redis Streams, Pydantic state machines, multi-channel integration (web, email, WhatsApp). Governance aligned with ISO/IEC 42001 and NIST AI RMF.
· 45% faster content delivery
· 58% faster campaign turnaround
· 41% automated support resolution — humans in control at every step
The real design challenge: defining AI behavior. Autonomy boundaries, trust signals, and when the system defers to a human.
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