凯捷：2025公共部门AI智能体架构设计：面向技术负责人的变革性多智能体平台详解指南（英文版）（32页）.pdf

1、Architecting AI agentsin the public sectorA detailed guide to game-changing multi-agent platforms for technical leadsWhats insideIntroduction 01Why AI agents matter 02Supercharging processes 02Language,data and context:the keys to automation 03What is an AI agent?04The anatomy of an AI agent 05The e

2、volution of AI:levels of autonomy in agentic AI 07Multi-agent architectures 09Collaboration in agent spaces across organizations 10On-premise vs.cloud 12 Platform overview:automation meets agent intelligence 13This is what AI really looks like Real-world uses cases in the public sectorAutomating soc

3、ial media posts with ChatGPT and Zapier 15Handling citizen emails 16Automating meter readings via WhatsApp 17Automating services with Relevance AI 18Monitoring and dashboards 2114Critical reflection and limitations2223 From agentic vision to action Six steps public sector leaders should take now27Su

4、mmary and outlook What we have learnt from the rise of AI agentsIntroductionThe public sector is facing a significant skilled labor shortage,which is worsening due to ongoing demographic shifts.To address this,increasing automation is essential,enabling public organizations to handle tasks more effi

5、ciently with fewer people.AI agents sound futuristic and they are.Think of fully automated processes and intelligent assistants that solve problems on their own.That is exactly what AI agents bring to the table.So why should you care?Because AI agents take your automation to a whole new level.Automa

6、tion without AI is like using a typewriter in the age of computers;it is better than handwriting,but it misses out on the transformative potential and efficiency that modern technology offers.Modern automation platforms provide a strong foundation:you build workflows,transfer data,and automate repet