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Executive Guide to Agentic Commerce

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October 22, 2025

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The launch of OpenAI's "Instant Checkout" with Walmart has triggered a paradigm shift to agentic commerce, moving AI from a simple assistant to a proactive agent that executes transactions. This new reality presents an existential choice for enterprise leaders: how do you compete? Is it safer to integrate with a third-party platform, or is that a strategic trap? What does it truly take to build a secure, proprietary AI agent that can handle complex checkouts without exposing your most sensitive customer data and competitive insights?

In this white paper, you'll discover:

  • The multi-billion-dollar business case for agentic commerce and why the "easy" path of third-party AI integration is a strategic trap fraught with data governance, compliance, and competitive risks.
  • The three critical, platform-level challenges—data governance, systems orchestration, and MLOps—that cause most internal AI projects to stall and fail.
  • The strategic blueprint for building a proprietary agentic commerce solution using an "AI Operating System" to ensure absolute data control, security, and a defensible competitive moat.

Download your executive guide to own the conversational interface and win the new era of commerce.

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Whitepaper

The launch of OpenAI's "Instant Checkout" with Walmart has triggered a paradigm shift to agentic commerce, moving AI from a simple assistant to a proactive agent that executes transactions. This new reality presents an existential choice for enterprise leaders: how do you compete? Is it safer to integrate with a third-party platform, or is that a strategic trap? What does it truly take to build a secure, proprietary AI agent that can handle complex checkouts without exposing your most sensitive customer data and competitive insights?

In this white paper, you'll discover:

  • The multi-billion-dollar business case for agentic commerce and why the "easy" path of third-party AI integration is a strategic trap fraught with data governance, compliance, and competitive risks.
  • The three critical, platform-level challenges—data governance, systems orchestration, and MLOps—that cause most internal AI projects to stall and fail.
  • The strategic blueprint for building a proprietary agentic commerce solution using an "AI Operating System" to ensure absolute data control, security, and a defensible competitive moat.

Download your executive guide to own the conversational interface and win the new era of commerce.

Executive Guide to Agentic Commerce

Get the guide on building a proprietary AI checkout solution while ensuring data governance & avoiding third-party risk.
| Case Study
Executive Guide to Agentic Commerce

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The launch of OpenAI's "Instant Checkout" with Walmart has triggered a paradigm shift to agentic commerce, moving AI from a simple assistant to a proactive agent that executes transactions. This new reality presents an existential choice for enterprise leaders: how do you compete? Is it safer to integrate with a third-party platform, or is that a strategic trap? What does it truly take to build a secure, proprietary AI agent that can handle complex checkouts without exposing your most sensitive customer data and competitive insights?

In this white paper, you'll discover:

  • The multi-billion-dollar business case for agentic commerce and why the "easy" path of third-party AI integration is a strategic trap fraught with data governance, compliance, and competitive risks.
  • The three critical, platform-level challenges—data governance, systems orchestration, and MLOps—that cause most internal AI projects to stall and fail.
  • The strategic blueprint for building a proprietary agentic commerce solution using an "AI Operating System" to ensure absolute data control, security, and a defensible competitive moat.

Download your executive guide to own the conversational interface and win the new era of commerce.

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Neal Gilmore
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