Why AI agents need better operating models to scale with Sumit Taneja
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Why AI agents need better operating models to scale with Sumit Taneja
<span style="line-height:34px; display:block;">Sumit Taneja, global head of AI consulting and implementation, EXL, explores scaling AI.</span>
Episode 8
Why AI agents need better operating models to scale with Sumit Taneja
Host
Shirley Macbeth
Chief Marketing Officer, EXL
Guest
Sumit Taneja
SVP and Global Head of AI <br>Consulting and Implementation, EXL
Host
Shirley Macbeth
Chief Marketing Officer, EXL
Guest
Sumit Taneja
SVP and Global Head of AI <br>Consulting and Implementation, EXL
Summary
<p>Sumit discuss why simply adding AI to existing processes can limit transformation, and how a combination of domain expertise and context help AI agents deliver better outcomes. He also covers why organizations need new approaches to governance, measurement, and assurance.</p>
Duration: 26:55
Show notes
<p class="p1">In this episode</p><p class="p1"><strong>Chapter 1: The common AI mistakes that limit transformation</strong><br>Sumit Taneja, SVP and Global Head of AI Consulting, EXL, discusses why organizations must start with business value instead of technology for AI success.</p><p class="p1"><strong>Chapter 2: Why AI needs data and domain context</strong><br>AI changes the role of workers. Here’s how you make sure they have the data, context, and guardrails needed before your agent ever goes live.</p><p class="p1"><strong>Chapter 3: How to measure the real value of AI</strong><br>Sumit talks through who should own your AI deployment, and what metrics are needed to tell whether the implementation achieved its goals.</p>
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