Why wasn't 2025 the year of the agents? 🙅Cuz enterprise companies were trying to copy-and-paste human roles with general purpose agents that weren't ready. But you know what won the agentic race? Narrow, purpose-built agents. You know.... those built off large swaths of data to do one very specific thing well. As a VP of Engineering at LinkedIn, Prashanthi Padmanabhan knows a thing or three about building agents with purpose. And she joins Everyday AI to spill the enterprise AI agent secrets. Purpose-Built Enterprise AI Agents: What Actually Works -- An Everyday AI Chat with Jordan Wilson and Prashanthi PadmanabhanNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [email protected] with Jordan on LinkedInTopics Covered in This Episode:Purpose-Built Enterprise AI Agents OverviewGeneral vs. Narrow AI Agent Use CasesAI Agent Integration in LinkedIn RecruiterCollaborative Human-in-the-Loop Agent DesignAI Agent Workflow Reverse EngineeringBuilding Trust in Agentic AI ImplementationIterative Development with Customer FeedbackMeasuring AI Agent Impact and EfficiencyDomain-Specific, Context-Driven AI AgentsScalability Challenges for Enterprise AI AgentsTimestamps:00:00 "AI Agents: Hype Vs. Reality"05:21 "Optimizing Recruitment with AI Agents"09:20 "Building Effective Recruiting Tools"13:00 "Scoping Purposeful AI Solutions"14:46 "Unlocking Talent with AI"18:38 "Boost Business with AI Expertise"20:27 "Purpose-Built Recruitment Intelligence"25:56 "Boosting InMail Acceptance Efficiency"28:52 "Building Effective Enterprise Agents"29:51 "Building Trust Through User Experience"Keywords:AI agents, enterprise AI agents, purpose-built agents, narrow AI agents, general AI agents, AI assistant, recruiting AI agent, LinkedIn hiring assistant, LLMs, agentic technology, human-in-the-loop, recruiter automation, workflow automation, enterprise workflows, candidate sourcing, resume parsing, talent matching, AI-powered recruiting, hiring manager, conversational AI, AI trust, user experience, agent orchestration, domain-specific AI, model fine-tuning, data mining, personalized outreach, strategic recruiting, ATS integration, HR tech, context engineering, memory sophistication,Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

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“What did the council decide on item 42?” — answered with the speaker and the moment.