[{"data":1,"prerenderedAt":132},["ShallowReactive",2],{"content-page-\u002Fcase-studies\u002Fai-agent-case-studies":3},{"id":4,"title":5,"body":6,"description":100,"extension":101,"eyebrow":102,"faq":103,"intro":104,"meta":105,"modifiedDate":103,"navigation":106,"pageType":107,"path":108,"primaryCta":109,"primaryKeyword":111,"proofLinks":112,"publishDate":103,"relatedLinks":116,"schemaType":124,"secondaryCta":125,"seo":128,"status":129,"stem":130,"__hash__":131},"pages\u002Fpages\u002Fcase-studies\u002Fai-agent-case-studies.md","AI Agent Case Studies",{"type":7,"value":8,"toc":92},"minimark",[9,14,18,34,37,41,65,69,72,84],[10,11,13],"h2",{"id":12},"what-counts-as-agent-proof-here","What counts as agent proof here",[15,16,17],"p",{},"The useful proof is not “we used a model.” It is whether the workflow had:",[19,20,21,25,28,31],"ul",{},[22,23,24],"li",{},"changing context",[22,26,27],{},"several possible next actions",[22,29,30],{},"a clear handoff or review boundary",[22,32,33],{},"a measurable reduction in repetitive operator work",[15,35,36],{},"That is the lens for the examples below.",[10,38,40],{"id":39},"strongest-examples","Strongest examples",[19,42,43,51,58],{},[22,44,45,50],{},[46,47,49],"a",{"href":48},"\u002Fcase-studies\u002Fai-recruitment-agent","AI recruitment agent"," shows a workflow where evaluation, routing, and coordination matter more than a single reply.",[22,52,53,57],{},[46,54,56],{"href":55},"\u002Fcase-studies\u002Fai-executive-reporting-agent","AI executive reporting agent"," shows why data gathering, summarization, and exception handling benefit from an agent-style layer.",[22,59,60,64],{},[46,61,63],{"href":62},"\u002Fcase-studies\u002Fai-voice-receptionist","AI voice receptionist"," shows where structured intake and action routing matter more than “voice AI” as a label.",[10,66,68],{"id":67},"what-these-examples-should-tell-you","What these examples should tell you",[15,70,71],{},"They should help you answer three practical questions:",[73,74,75,78,81],"ol",{},[22,76,77],{},"Does the workflow have enough moving parts to justify an agent?",[22,79,80],{},"Where should human review stay in the loop?",[22,82,83],{},"Is the first version small enough to prove safely?",[15,85,86,87,91],{},"If the answer still feels blurry, ",[46,88,90],{"href":89},"\u002Fai-agent-development-services","AI agent development services"," is the better next read than another abstract agent article.",{"title":93,"searchDepth":94,"depth":94,"links":95},"",3,[96,98,99],{"id":12,"depth":97,"text":13},2,{"id":39,"depth":97,"text":40},{"id":67,"depth":97,"text":68},"Proof hub for agent-oriented workflow systems, orchestration, retrieval, and human-in-the-loop execution.","md","Proof",null,"These examples show where an agent-style workflow is worth the extra architecture and where a simpler automation pattern still wins.",{},true,"case_study_hub","\u002Fpages\u002Fcase-studies\u002Fai-agent-case-studies",{"label":110,"to":89},"See AI agent development services","ai agent case studies",[113,114,115],{"to":48,"label":49},{"to":55,"label":56},{"to":62,"label":63},[117,118,121],{"to":89,"label":90},{"to":119,"label":120},"\u002Fai-agents","AI agents",{"to":122,"label":123},"\u002Fagentic-ai-architecture","Agentic AI architecture","CollectionPage",{"label":126,"to":127},"Contact David","\u002Fcontact",{"title":5,"description":100},"published","pages\u002Fcase-studies\u002Fai-agent-case-studies","WTXt8SvLnIGo2PhsTWu1-qOvNdPeEahqAeBJSkcVnKw",1777461530711]