- The seat
- Strategic enterprise seller at an AI agent platform (a thought exercise)
- The account
- A global athletic apparel retailer, net-new logo
- The mandate
- A 7-figure decision in about 9 months
- The method
- My Strategic Deal Roadmap, in five steps
- The rule
- Public industry patterns only; no vendor or account named
This is a thinking exercise in the format Brandon Fluharty uses for his strategic selling teardowns.1 The vendor and the retailer are deliberately unnamed. Nothing here comes from inside any vendor, retailer, employer or customer, and it is not affiliated with, sponsored by or reviewed by any of them. Anything marked Assumption is my judgement, not a fact.
The challenge
Pretend I took the job. I’m a strategic enterprise seller at a company that helps brands build their own branded, customer-facing AI agents: agents that answer questions, guide product choices and resolve service issues across chat, voice and messaging. My first assignment is a logo we don’t have: a global athletic apparel brand of Fortune 500 scale, with a strong store experience and a large digital business. The goal is a 7-figure commitment inside nine months.
The category has momentum. AI agent vendors now openly pitch retailers on product discovery, recommendations and bigger baskets, not just support. That is the opening. The trap is to walk in and pitch a better support chatbot. That would put us in a cost conversation with the service platform they already run. The way to a 7-figure decision is to sell the growth problem, not the ticket problem.
So I’d skip the deck and start with my Strategic Deal Roadmap. Here is how its four milestones map onto the five steps that follow.
- 1 · Early alignmentBecome their customer. Account overview, the gap and the article (Step 1).
- 2 · Go wide, then deepThe Mobilizer, capability maps, architecture and a boot camp on their own catalog and policies (Steps 2–4).
- 3 · A defendable business caseSpecific use cases co-authored under the Mobilizer’s name. The 0–5 levels, signed as one commercial number.
- 4 · Executive commitmentA hosted executive dinner, peer calls, a CEO readout and C-level meetings with our leadership (Step 5).
Account overview and the gap
The business. Assumption A Fortune 500-scale athletic apparel brand typically runs a premium, full-price model with a large share of revenue in digital, a loyalty or membership program, and growth expectations that lean on international markets and new categories. When growth in the home market slows, the pressure lands on conversion, traffic and average order value at the same time.
The leadership moment. Assumption Retail leadership teams turn over often, and a new executive agenda is usually framed around product innovation, brand relevance and international growth, alongside a mandate to run leaner. Every one of those priorities needs a way to explain product to more customers, in more markets, at lower cost.
What they already have. Assumption A brand like this already has a strong service foundation: a modern customer-service platform with a single view of the customer, and store associates who are the brand’s best selling asset. That platform is the incumbent. I’d plan to work alongside it, not replace it.
The gap, in the language retailers use. The same four themes show up again and again in public retail filings and earnings calls:
- A plan to improve the digital experience and storytelling with the goal of increasing conversion.
- Pressure on conversion rates, store traffic and average order value in core markets.
- A newer risk: AI-enabled shopping tools may reduce a brand’s control over product discovery and loyalty, as third-party AI assistants increasingly influence what customers buy.
- Efficiency programs that include new technologies, AI-powered systems and automation.
Put those together and the gap is clear. The best selling asset in athletic retail is a person: the store associate who asks what you train for and knows which fabric you need. Online, where a large share of revenue happens, the shopper is mostly on their own. Meanwhile, third-party AI assistants are starting to answer the question an associate would answer, without the brand’s voice. What’s missing is an expert that works in every channel and speaks for the brand.
Becoming their customer. Milestone 1 of my roadmap, early alignment, includes becoming the customer. Before any outreach I’d buy on the site and app, ask customer support a fit question, call a store, start a return, and join the membership program. Then I’d write down exactly where the experience stops feeling like talking to an expert. That shopping log becomes the evidence for everything below. Assumption In a real pursuit, the gap above would be tested against the account’s own public statements and my own shopping log before any outreach.
What the buyer says, and what they need to hear
Put the retailer’s typical priorities next to the case for a branded agent and the overlap is the deal. These are paraphrased patterns, not quotes from any company.
Our brand has something rare: genuine customer love and a product story built on innovation.
Every brand will need one agent, with its brand at the top, that represents the whole customer experience.
Customer love is the asset. A branded agent is how it shows up where customers now ask questions.
We need to accelerate product breakthroughs and unlock growth in markets around the world.
A company’s main digital interface is becoming a conversation, not a page.
Growth in new markets needs an interface that speaks every language and never closes.
In digital, our focus is storytelling and driving conversion when customers visit our sites.
Customers shouldn’t need a master’s degree in our catalog and our processes to buy the right thing.
Storytelling and conversion are the same problem: helping a shopper find the right product without studying the catalog.
The category: expert-led commerce
The category needs the retailer’s words, not ours. I’d name it expert-led commerce: the store associate’s guidance on fit, fabric and activity, delivered in the brand’s voice in every channel a customer uses, including the AI assistants they already ask.
What it is: a revenue motion that also resolves service. What it isn’t: a ticket-deflection project, or a replacement for the people in stores and customer support.
Customer support answers. The website waits.
- AI is bought as a cost lever for contact volume
- Product discovery means filters, search and category pages
- Expertise lives in stores and with customer support
- Third-party AI assistants describe the brand in their own words
- The vendor is paid per seat or per conversation
Every shopper gets an expert.
- The agent is measured on conversion and on resolution
- Discovery is a conversation about the shopper’s activity and fit
- Associate knowledge scales to web, app, voice and messaging
- The brand’s own agent speaks for it wherever customers ask
- The vendor is paid for outcomes the brand defines
The memo headlineThe best part of your brand is the expert in the store. Now every shopper can have one.
Step 1: Write the article before the pitch
Milestone 1 also means bringing a point of view before the first meeting. Before any meeting, I’d write the op-ed below and send it to the person I think can mobilize the organization. It names no vendor and no product. It’s deliberately about 75% done. The brackets are where the reader has to fill in what I can’t know from outside.
The expert doesn’t scale. Unless it does.
Walk into a great athletic store and someone asks what you’re training for. That question is the brand. It turns a wall of leggings into a recommendation, and a recommendation into trust. For years, those people have been the reason a premium purchase feels like an easy decision.
Now look at where customers actually shop. A large and growing share of revenue is digital. Online, the shopper gets filters, search and a product detail page. Retailers say exactly what they want from that experience: better storytelling with the goal of increasing conversion. They also say what’s going wrong: lower conversion, lower store traffic and smaller baskets.
There is a third theme that matters more than the other two. Retailers have started warning that AI-enabled shopping tools may reduce their control over product discovery and brand loyalty, as third-party AI platforms increasingly steer what customers buy. It says the next expert a customer meets may not work for the brand at all.
Most retailers are answering this with a cost project. They add an AI layer to customer service, measure deflected contacts, and call it a strategy. That isn’t wrong, but it is small. It treats the most valuable conversation a brand can have, the one before the purchase, as a cost to be avoided.
There is a bigger version. Picture the store expert’s judgement available everywhere a customer asks a question: on the product page at 11 p.m., in the app before a race, on a call to a store that can’t pick up, and inside the AI assistants customers already use. It speaks in the brand’s voice. It knows the difference between fabrics for hot yoga and a cold run, and it knows the member’s history. When the question becomes a return or an exchange, it handles that too, and hands the customer to a person, with full context, when a person is better.
Three things have to be true for that to work.
The voice has to be owned. A brand that invests this much in product storytelling can’t outsource how its product is described. The agent needs brand guardrails that the brand team sets, tests and signs off. [Who owns the customer voice today across digital, brand and customer support? Where does it break?]
It has to sit on the foundation that exists. The service platform and single customer view already in place should be extended, not competed with. Handoffs to people should land inside the tools those people already use. [Which systems would it have to read from on day one: catalog, inventory, membership, orders?]
It has to be measured on growth. If the only metric is contacts deflected, the program will be funded like a cost project and cut like one. The scorecard should start with conversion on assisted sessions, then add resolution and customer satisfaction. Paying for those outcomes, rather than for software seats, keeps everyone honest. [What conversion number would make this a board-level story? What would make it a failure?]
The timing matters. Leadership agendas built on product breakthroughs, cultural relevance and international growth all need a way to explain new product to customers at scale, in every market, in every language. The same leaders are under pressure to run leaner with AI and automation. An expert that sells and serves answers both needs at once.
The question isn’t whether customers will ask an AI what to buy. They already do. The question is whether the brand’s own expert is the one answering.
[What I can’t see from outside: how customers use chat and support today, which questions come up before a purchase, and where shoppers leave without buying. If I’ve got any of this wrong, I want to know.]
The note I’d send with it is one line: “This article was written about your company. Tell me what I got wrong.” I wouldn’t attach a deck. Peer proof comes later, but I’d have it ready: two or three published retail customer stories from the platform I represent, each with a conversion or resolution metric and an executive willing to take a call.
Step 2: Find the Mobilizer and draw the v1 map
Milestone 2, go wide then deep, starts with access. The obvious door is customer support, because that’s where AI gets bought as a cost lever. I’d go there second. The category I’m selling is about conversion, and conversion belongs to digital and commerce.
The Mobilizer hypothesis. The Chief Digital Officer is the most likely Mobilizer: someone who has already led a customer-facing platform change, talks publicly about knowing the customer, and knows how to build a case. In most apparel retailers this role sits inside a commercial organization that owns regions, stores and digital channels. Assumption The reporting line and the budget owner are hypotheses; the Mobilizer’s first job is to correct this map.
Roles only. In a real pursuit, the map would be filled in from the account’s public leadership page and corrected by the Mobilizer.
Order of entry. (1) The Mobilizer, with the article. (2) Digital product and e-commerce leaders, who own the product page work. (3) Customer support leadership, to design handoffs into the workspace their teams already use. (4) Brand, to own the agent’s voice. (5) Data, membership, security and legal, early, as design partners rather than final gates. (6) Finance, with a model the Mobilizer has already corrected. (7) The President and CEO, in a readout the Mobilizer leads.
The way in. Executives at retailers who have already launched a branded agent are the strongest door-openers. Peers can talk about what changed and what was hard. A small, hosted executive dinner in the account’s home city, with one of those executives at the table, would do more than any outbound sequence.
Step 3: The 0–5 levels, in the retailer’s language
A 7-figure commitment is easier to make when level 1 is small and the path to level 5 is visible. Every level is time-boxed from launch, has one owner, and has one outcome that the brand defines.
- 0Today: customer support answers, the website waits
Strong service platform, conversion under pressure, third-party AI telling the brand story.
- 1Expert assist · first 60 days after launch
An agent in the brand’s voice handles order status, returns and exchanges on web chat. Every handoff lands in the existing support workspace with full context. Outcome: resolution with customer satisfaction at or above today’s.
- 2Fit & fabric guidance · launch months 3–4
The same agent helps shoppers choose by activity, fit and fabric on product and category pages, where the conversion work is already focused. Outcome: conversion on assisted sessions.
- 3Member moments · launch months 5–6
Recognized members get guidance that remembers their history, plus launch storytelling that supports product activation. Outcome: member engagement and repeat purchase.
- 4One expert, every channel · launch months 7–9
Voice for store calls that would otherwise go unanswered, the app, messaging and third-party AI assistants. Outcome: store visits and sales from calls, and brand-controlled answers off-site.
- 5Expert-led commerce worldwide · launch year 2
New markets and languages, aligned to the CEO’s growth priorities. Outcome: one agent with the brand at the top of the whole customer experience.
Leading AI agent platforms now offer the capabilities each level needs: memory, recommendations and proactive engagement, and channels including chat, SMS, messaging apps, email, voice and third-party AI assistants. Fast voice launches at other retailers make level 4 credible inside the first year after launch. Assumption The timings are my plan, not a commitment from any company.
Step 4: A deal that mirrors how the retailer buys
Assumption Many apparel retailers run a “chase” model: they read and react to demand, committing to a base and chasing into what sells. In a lean year, discretionary spend is cut hard. AI agent vendors increasingly price on outcomes: a pre-negotiated rate when the agent resolves an issue on its own, no charge when it escalates to a person, and outcomes that can include e-commerce purchases and memberships saved. Those two models fit. The deal should feel like a chase buy: commit to a base, then chase into what works.
One number for the CFO, drawn down by the outcomes the retailer chooses at each level. Sized together during the boot camp, not before. Assumption
Why this works for each buyer: the CFO sees one number and a downside that’s capped; the Chief Digital Officer gets a conversion metric; customer support gets free handoffs and no seat math; Brand gets veto rights on the voice. A proof of concept on sample data proves nothing about the retailer’s customers. A boot camp on their data turns going deep (roadmap milestone 2) into the first draft of a defendable business case (milestone 3).
Step 5: The operating plan
Risks I’d raise first. Saying them before the buyer does is what earns the next meeting.
- Brand risk. An agent that sounds off-brand or misstates a fabric claim is worse than none. Answer: brand owns the voice, with monitored testing before every expansion.
- The incumbent. The support team may have just moved onto a new service workspace. Answer: hand off into it, extend it, never ask anyone to re-platform.
- Leadership change. Priorities can reset when executives turn over. Answer: tie every level to the stated priorities and let the Mobilizer choose the timing of the readout.
- A distracted board. A tough year consumes executive attention. Answer: a small level 1 that doesn’t need a board-level decision.
- Frontline concerns. AI can read as a threat to frontline jobs. Answer: position the agent as the store team’s reach, with people in the loop, and measure satisfaction for handoffs.
- Holiday timing. Assumption Like most retailers, the account likely limits production changes in peak season. Answer: do research and the article in November and December; build in February.
- Markets and regulation. International growth means different languages, platforms and AI and privacy rules. Answer: North America first; international is level 5.
Daily. One hour of account research: earnings, interviews, the product launch calendar and the customer experience. Shop the brand once a week as a customer. Log every buyer signal.
Weekly. One working session with the Mobilizer or their team. Update the org map and the business case. Review one retail customer story and the executive behind it.
Monthly. Host or join one executive-level moment: a dinner, a peer call or a reference visit. Inspect the deal against buyer behaviors, not my activity.
Mental preparation. Expect silence after the first note. A leadership reset, a cut forecast and board pressure mean the most important people are busy. My job is to be the most useful voice in the account, not the loudest. I’d be ready to lose the deal on the merits rather than discount it into a pilot.
The nine months, as buyer behaviors
- Month 1 · Nov 2026The Mobilizer replies to the article and argues with at least one claim.
- Month 2 · Dec 2026They correct the org map and invite two colleagues to a working session.
- Month 3 · Jan 2027Digital, customer support and Brand join deep-dive workshops and share anonymized transcripts and policies.
- Month 4 · Feb 2027Brand approves sample agent conversations in the boot camp.
- Month 5 · Mar 2027An executive attends a hosted dinner with a peer retail executive; finance asks for the model.
- Month 6 · Apr 2027The Mobilizer presents the co-authored business case internally, without me.
- Month 7 · May 2027A CEO readout leads to a named executive sponsor and a chosen level 1 scope.
- Month 8 · Jun 2027Security, legal and procurement send redlines, not objections.
- Month 9 · Jul 2027A signed outcome pool and a launch date on the retailer’s calendar.
Months are illustrative. Each milestone is something the buyer does; if it doesn’t happen, the forecast moves, not the story.
The close
A lot better than pitching a support chatbot to the team that just built a new support platform, right?
What it took to produce this
One working session with AI-assisted research into public retail filings, earnings commentary and AI agent category trends, then generalized so that no vendor or account is identifiable. AI proposed. I refined. I used the Strategic Deal Roadmap as the structure and Brandon Fluharty’s teardown format as the model.1 The thinking on retail as a demand channel builds on my own essay, Retail’s new operating model.
A thought exercise built from public industry patterns. Not affiliated with, sponsored by or reviewed by any AI vendor or retailer. Contains no confidential information from any employer or customer. The account described is a composite, not a specific company.
Sources
- Brandon Fluharty, “Strategic Selling Teardown,” The Purposeful Performer. www.purposefulperformer.com ↗
Retail and AI agent category themes are paraphrased from widely reported industry patterns and are not attributed to any single company.