Recently, I had the pleasure of sitting down with Shish Shridhar, Global Director of Retail and CPG Startups at Microsoft, on my podcast “AI Minute Mondays” to discuss one of the most transformative shifts happening in the digital world: Agentic Commerce. This is more than just a buzzword—it’s a foundational change in how transactions happen online, moving beyond human search and clicks to a world where AI agents act and transact autonomously on behalf of consumers and businesses. Here is a breakdown of our conversation and the critical takeaways for anyone operating in the world of e-commerce, retail, and payments.

What Exactly is Agentic Commerce?

For years, we’ve had AI tools that assist shopping: recommending products, summarizing reviews, or helping us search. Agentic Commerce takes this a giant step further. Agentic Commerce is a model where AI agents are empowered to not just find what a user wants, but to autonomously go out, evaluate options, negotiate, and complete the entire purchase—from discovery to checkout—without human intervention until the final approval. As Shish pointed out, the shopper is no longer a person; it’s an intelligent, self-directed agent. “I have been thinking a lot about what happens when shoppers are no longer people but agents that negotiate, compare, and decide on our behalf. This new world of Agentic Commerce changes everything…” - Shish Shridhar

The End of the Old Playbook: Data and Trust Win

The rise of the autonomous agent demands a complete rethink of brand strategy and retail media. If an AI agent is making the purchasing decision, traditional advertising built on emotional storytelling and banner ads becomes less effective. The shift is profound:

1. From Ads to Agents:

Brands must pivot from trying to influence human clicks to providing the structured, machine-readable signals and trust frameworks that AI agents need to decide and recommend.

2. Content Takes Center Stage:

Product data is the new ad copy. Brands must optimize their content by providing transparent pricing, stock APIs, detailed ingredients, efficacy, and verified user data so the agent can accurately assess and compare offerings.

3. Optimization for Context:

The old SEO playbook, focused on human search terms, is being replaced by Agentic Product Optimization (APO). This means optimizing for context—ensuring your product is the most logical, well-documented, and trustworthy choice when an agent searches for “a gentle moisturizer under $30 with SPF.”

The Infrastructure Challenge: Payments and Identity

This new commerce model necessitates massive changes in the underlying payments and digital identity infrastructure. The conversation highlighted a few key models that are emerging to facilitate agent-initiated payments:

  • Tokens with Richer Identity/Authority: Networks are moving towards systems that offer more delegated authority and limited-use credentials, ensuring that the agent has the necessary authorization without exposing the user’s raw financial data.
  • Virtual Cards and Secure Intermediaries: Models similar to platforms like DoorDash or Uber Eats, where an intermediary collects the funds from the user and uses a limited-use virtual card to pay the merchant, are being digitized for AI agents.
  • Machine-Native Settlement Rails: The future may involve protocols for on-chain stablecoin micropayments and dedicated infrastructure to handle the massive volumes of machine-to-machine transactions, such as for monetizing API calls or bot traffic.

The biggest remaining hurdle? Trust. Users must trust that the AI agent is acting faithfully on their behalf and that the transaction is secure and auditable.

Action Items to Prepare for the Agentic Economy

For merchants, businesses, and platform builders, the time to start tinkering is now, while volumes are still low. The collective advice distilled from our chat and the broader industry landscape is clear:

1. Make Your Data Machine-Readable:

Expose your product catalog, pricing, inventory, and policy data in structured formats (like Google’s structured product data or APIs) that agents can query directly.

2. Support Agent-Initiated Transactions:

Ensure your checkout flow can handle programmatic authorization, provide audit trails, and implement fraud tooling designed to understand agent behavior.

3. Don’t Fight Good Agents—Authenticate and Embrace Them:

AI agents are not a threat to be blocked; they are the new customer. Develop systems like Stripe’s Model Context Protocol (MCP) or similar frameworks to let trusted, authenticated agents interact directly and effectively with your systems.

Agentic Commerce is not replacing human shopping overnight; instead, it will layer on top of existing digital commerce. For the next decade, retailers will need to operate in two modes: one for the human shopper and one for the agentic economy. The businesses that prepare to be data infrastructure providers and trust brokers for the agentic ecosystem today will be the ones that dominate tomorrow.

The Road Ahead

Agentic Commerce is poised to disrupt retail as profoundly as e-commerce did two decades ago. The winners will be those who balance innovation with responsibility, ensuring that AI agents empower—not alienate—consumers.

About This Series

This article is based on an episode of AI Minute Mondays, where industry experts share insights on AI adoption, implementation, and impact across various domains. Watch the full conversation with Shish Shridhar above to dive deeper into the technical details and hear more about his journey in Retail and startups at Microsoft.

Learn More About Trusted AI Adoption

At oikyo.ai, we help organizations navigate the complexities of AI adoption, from strategy and platform selection to implementation and compliance. Whether you’re in Retail, finance, or any other regulated industry, we can help you build AI systems that are not just powerful, but trustworthy.

Contact us to learn how we can support your AI journey, or explore our services to see how we help organizations accelerate trusted AI adoption.

Interested in more AI insights? Subscribe to our newsletter or follow us on LinkedIn for the latest in responsible AI adoption.