On the latest episode of Go To Market with Dr. Amy Cook, Amy talks with Aditya Gautam, an AI pioneer whose work is reshaping how businesses think about productivity, intelligence, and the future of software.
With a professional track record that includes machine learning roles at Google and Facebook, as well as groundbreaking research presented at AAAI, Aditya brings a rare blend of academic rigor and real-world execution to the conversation. His message to business leaders is clear: AI agents aren’t a passing trend. They are quickly becoming a strategic foundation of business software.
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In this episode, Aditya and Amy Cook discuss the rise of multi-agent systems, the changing landscape of knowledge work, and the seismic impact AI is already having on enterprise decision-making and go-to-market strategies.
If you’re looking to understand where the future of work is heading and how to lead through that change, this is an episode you won’t want to miss.
Here are some interview highlights.
Amy: You often talk about evaluating agentic systems. What made you believe AI agents are more than just another trend?
Aditya: The signs show that value is moving to the application layer. Businesses are experimenting and deploying. Companies are using AI agents for customer support, internal operations, and even supply chain orchestration. We’ve transitioned from sandbox demos to live environments, generating real ROI.
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I’d estimate that over 40% of AI agent projects have moved from experimentation to delivering measurable business value. With more tools, better models, and maturing frameworks like Anthropic’s MCP and Google’s A2A, adoption is only accelerating.
Amy: Your recent paper explores the mitigation of misinformation through multi-agent systems. Can you walk us through that?
Aditya: Absolutely. The paper outlines how traditional fact-checking is labor-intensive and hard to scale. We propose a multi-agent framework where different agents handle key stages:
- One agent gathers credible sources.
- Another retrieves contextually relevant content.
- A third classifies the misinformation.
- A fourth re-verifies claims.
All are coordinated with a human-in-the-loop. This mirrors the way human fact-checkers work but scales faster and costs less. The system showed strong early results and demonstrates that multi-agent systems can handle nuanced, knowledge-intensive tasks, not just repetitive ones.
Amy: Let’s talk economics. For enterprise leaders, what advice do you give on the “buy vs. build” dilemma in AI agents?
Aditya: It depends on scale. Training a foundation model? That’s a multibillion-dollar game. But fine-tuning existing models, applying guardrails, and customizing agents—that’s very achievable. Here’s how I’d frame it:
- Check ROI and compliance: Is there business value? Are governance and policies aligned?
- Evaluate org readiness: Do you have ML engineers, or is your team more data science-oriented?
- Consider task complexity: Some use cases need fine-tuning; others work out-of-the-box
- Start by evaluating general-purpose solutions: If the ROI justifies it, then consider building or acquiring.
Amy: In recommendation systems, how are AI agents enabling things that were previously impossible?
Aditya: Two big wins: explainability and auto-labeling. AI agents can now act as “judges,” offering clear, contextual explanations about why a recommendation was made. That’s a leap from older systems that simply provided a score with no transparency. One enterprise use case? Real-time personalization with built-in reasoning. Not only is it more accurate, but it also builds user trust.
Amy: What should an enterprise consider when adopting AI agents?
Aditya: Think in phases:
- Pre-deployment: Identify a high-value use case. Define MVP success metrics.
- MVP launch: Limited release, tight feedback loops, internal evaluation
- Post-deployment: Monitoring, cost control, confidence scores, model updates, CI/CD pipelines
The best systems evolve fast, with humans in the loop and clear metrics guiding improvements.
Amy: Where do you see AI agents going in the next 3–5 years? What’s your most ambitious vision?
Aditya: Every industry—finance, healthcare, marketing—will be transformed. Here’s how:
Want to explore the whole episode? Listen to Go-To-Market with Dr. Amy Cook.
