Purpose-Built Enterprise AI Agents: What Actually Works
Everyday AI Podcast – An AI and ChatGPT Podcast
Customer-driven iteration and UX changes
Prashanthi recounts iterating Hiring Assistant with customers and shifting from async to conversational experiences.
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 Padmanabhan
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Topics Covered in This Episode:
- Purpose-Built Enterprise AI Agents Overview
- General vs. Narrow AI Agent Use Cases
- AI Agent Integration in LinkedIn Recruiter
- Collaborative Human-in-the-Loop Agent Design
- AI Agent Workflow Reverse Engineering
- Building Trust in Agentic AI Implementation
- Iterative Development with Customer Feedback
- Measuring AI Agent Impact and Efficiency
- Domain-Specific, Context-Driven AI Agents
- Scalability Challenges for Enterprise AI Agents
Timestamps:
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,
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