Purpose-Built Enterprise AI Agents: What Actually Works
January 8, 2026
AI Summary
5 min read🎙️ The Voices & The Context
- The Format: Live stream podcast interview with unscripted Q&A on AI agents in enterprise recruiting.
- The Key Players:
- Jordan Wilson: Host of Everyday AI, energetic guide simplifying AI for everyday users, businesses, and careers.
- Prashanti Padmanabhan: VP of Engineering at LinkedIn, leading enterprise talent solutions; fascinating for her hands-on experience building AI agents like LinkedIn Hiring Assistant from the ground up.
- The Vibe: Educational and optimistic—excited tech talk blending real-world engineering insights with practical hype around AI's 2026 potential.
🗝️ Key Themes & Topics
The episode dives into purpose-built AI agents revolutionizing enterprise workflows, emphasizing narrow, human-augmented tools over sci-fi generalists. Discussions unpack real implementation challenges, successes at LinkedIn, and actionable strategies for businesses.
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What you'll learn
- 1 (00:00) **🎙️ Introduction: Prashanti Padmanabhan**
- 2 (03:08) **Motivation for LinkedIn Hiring Assistant**
- 3 (07:36) **Human + Agent Collaboration**
- 4 (09:53) **Iterative Development Process**
- 5 (13:00) **Scoping Purpose-Built Use Cases**
- 6 (17:43) **Balancing Autonomy and Human Oversight**
- 7 (22:46) **Preserving Purpose in Workflows**
+ Full timestamped outline available in the app
Show Notes
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
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