Asking the Right Questions About Agentic Commerce Strategy
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Asking the Right Questions About Agentic Commerce Strategy

Most companies start their agentic commerce strategy in the wrong place. Here's how to ask the right questions and get ahead of the curve.

June 8, 2026·5 min read

Why Most Companies Start Their Agentic Commerce Strategy in the Wrong Place

There is a quiet revolution happening at the intersection of artificial intelligence and commerce, and most organizations are not as prepared for it as they think they are. Agentic commerce — the practice of deploying autonomous AI agents to handle purchasing decisions, personalize customer journeys, and execute transactions with minimal human intervention — is rapidly moving from buzzword to boardroom priority. Yet despite the mounting excitement, a significant number of companies are beginning their agentic commerce strategy in entirely the wrong place, asking the wrong questions before they have even laid the proper foundation.

Understanding this problem — and correcting it before it costs you time, budget, and competitive ground — is one of the most important things a business leader, CX professional, or digital commerce strategist can do right now.

What Is Agentic Commerce, and Why Does It Matter?

Before diving into strategy, it helps to define the landscape clearly. Agentic commerce refers to AI-powered systems that can autonomously perceive customer context, reason about options, and act on behalf of users or businesses within a commerce environment. Think of an AI agent that monitors a customer's purchasing patterns, detects that their preferred product is about to go out of stock, and automatically reorders it — all without human instruction.

Unlike traditional automation, which follows rigid rules and scripts, agentic systems are designed to reason, adapt, and make decisions in dynamic environments. They can negotiate, respond to real-time data, and coordinate across platforms and services. This creates enormous potential for businesses that get it right and an equally enormous risk for those that rush in without a coherent strategy.

According to analysts at Forrester, interest in agentic AI across commerce and customer experience functions is accelerating faster than many organizations' internal readiness to adopt it. The technology is outpacing the strategy — and that gap is where most mistakes are made.

The Most Common Strategic Mistake: Starting with Technology Instead of Outcomes

When organizations first encounter agentic commerce, the conversation almost always starts with technology. Which AI platform should we use? How do we integrate agents into our existing stack? What does our vendor landscape look like? These are legitimate questions, but they are not the right starting point.

Starting with technology before clarifying outcomes is like designing a building before deciding what it will be used for. You might end up with something structurally impressive but fundamentally misaligned with the people it is supposed to serve.

The right starting point is the customer experience and the business problem. What friction points exist in your current commerce journey? Where are customers dropping off, becoming frustrated, or asking for help that your current systems cannot provide fast enough? What would a seamless, intelligent, autonomous experience actually look like for your specific audience? Answering these questions first creates the strategic clarity that makes every subsequent technology decision far more purposeful and defensible.

The Right Questions to Anchor Your Agentic Commerce Strategy

Forrester's upcoming CX Forums this June are designed to help companies get anchored in exactly these kinds of foundational questions. Rather than chasing implementation tactics, leading organizations are learning to step back and interrogate their assumptions at a deeper level. Here are the core strategic questions every team should be asking:

  • Who is the agent serving — the customer, the business, or both? Clarity on agency and loyalty is essential. An AI agent that optimizes purely for conversion may erode customer trust over time, while one that prioritizes customer outcomes can build long-term loyalty that outweighs short-term revenue gains.
  • What decisions should agents be empowered to make autonomously, and where must humans remain in the loop? Agentic systems are not one-size-fits-all. The level of autonomy appropriate for a low-stakes consumable reorder is very different from that involved in a high-value B2B procurement decision.
  • How will customers know when they are interacting with an agent, and does that transparency affect trust? Disclosure and explainability are not just ethical concerns — they are increasingly regulatory ones. Getting ahead of this question protects your brand and your compliance posture simultaneously.
  • What data infrastructure is required to make agents genuinely intelligent rather than just automated? Real agentic intelligence depends on rich, real-time, cross-channel data. Organizations with fragmented data environments will find that their agents underperform expectations — not because of the AI, but because of what the AI has to work with.
  • How do you measure success? Traditional commerce KPIs may not capture the full value — or risk — of agentic systems. New measurement frameworks are needed that account for customer trust, agent accuracy, escalation rates, and long-term loyalty impact.

Why CX Leaders Need to Own This Conversation

Agentic commerce is frequently framed as a technology initiative, which means it often lands in the lap of IT or product teams. This is a structural mistake. The organizations that will thrive in an agentic commerce environment are those where CX leaders are at the table from day one, not brought in after the architecture has already been decided.

Customer experience professionals understand the emotional and relational dimensions of commerce in ways that engineering teams, however talented, simply are not trained to prioritize. They know where trust is fragile, where personalization tips into intrusion, and where convenience becomes a liability if it feels impersonal. These insights are not nice-to-haves in agentic commerce design — they are load-bearing elements of the strategy.

Preparing for What Comes Next

Agentic commerce is not a future state — it is an unfolding present. Companies that move thoughtfully, anchored in the right questions, will build systems that earn customer confidence and scale sustainably. Those that move reactively, chasing vendor demos and competitor announcements without strategic clarity, risk building something technically sophisticated but commercially fragile.

The conversation happening at Forrester's CX Forums this June represents exactly the kind of deliberate, outcome-first thinking that this moment demands. Whether you attend in person or take the frameworks back to your own team, the imperative is the same: stop asking what agentic commerce can do, and start asking what it should do — for your customers, your brand, and your long-term business model.

The right questions, asked at the right time, are the most strategic investment you can make in your agentic commerce future.

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