OPERATORS Podcast: "How to Make AI Work for Your Brand With Two (Enterprise) Insiders"

Date: March 4, 2026
Guests: Craig (Former AI Lead at Crocs), Matt (CIO at Bissell)
Host: Sean

Episode Overview

This episode dives deep into the real-world organizational adoption of AI tools in eCommerce, focusing on how brands can pragmatically leverage AI right now, drive user adoption across departments, identify winning programs, avoid costly mistakes, and keep up with the rapidly evolving landscape. With inside perspectives from large enterprise operators, the conversation is loaded with actionable tips, candid war stories, and predictions about the near-term future of AI for brands.

Key Discussion Points & Insights

1. The Real-World State of AI Adoption ([03:40], [04:45], [09:35])

• Failed Pilots & Learning by Doing:
  • Craig shares that at Crocs, they ran 40–50 AI pilots over two years but saw a vast majority (up to 95%) fail—mirroring recently publicized statistics.

    “I probably spoke, no joke, to 200 different AI startups… We must have launched between 40 and 50 pilots… 95% of AI pilots like fail.” (Craig, [03:40])

• Small-Scale Testing over Big Consulting:
  • Matt points out that, unlike traditional SaaS with huge up-front investments, recent AI adoption is mostly via affordable, outcome-based trials, avoiding sunk costs of giant implementations ([04:45], [07:15]).
  • Both operators now explicitly avoid large consulting projects for AI, favoring quick, affordable experiments.

2. Overcoming Adoption Barriers ([09:19], [11:12], [13:23])

• Adoption ≠ Usage Everywhere:
  • Sean: Even when every employee has access, only about 10–30% become true daily power users ([09:19]).

    “I want my team to be blown away… but when I have 10 or 20% of people buying in every day, that's where I feel like I failed.” (Sean, [09:19])

• Intentional Enablement vs. Tool Flooding:
  • Craig stresses mastery of a single tool (e.g., ChatGPT) first, structured enablement, and ensuring every employee has their ‘aha’ moment.

    "I don't think the goal… is to have everybody using all the tools all the time. I think you want to get people expert at one." (Craig, [09:35])

• Imagination Gap:
  • Matt: Wider adoption is blocked by a “creativity gap”—most users stay at basic productivity hacks, few reimagine full process change ([11:15]).

    “…really trying to help the organization understand the art of the feasible… You could see pretty consistently… everyone was thinking about it mostly as like a personal productivity hack…” (Matt, [11:15])

3. Accelerating Adoption: Practical Tactics ([13:23], [15:23], [16:23])

• Fun, Simple First Steps:
  • Example: At Moderna, company-wide AI excitement started by transforming team profile pics into Pixar characters.

    “The number one thing… was just having people transform their team's profile photo into a Pixar character.” (Craig, [13:23])

• Public Sharing of Wins:
  • Encourage tools like public Slack channels to highlight power users and celebrate real use cases ([13:23]).
    • Live demos: Host real-time challenges to build a workflow, game, or video in an hour to demystify capabilities ([15:23]).

    “The biggest tip for everybody is you just have to do live demos in front of everybody… it's slow and it's boring and it's messy. But… it blows people's mind.” (Sean, [15:23])

• Prompt Library & Training:
  • Matt buys prompt libraries and flood shared drives to help users eliminate prompt-writing friction ([17:10]).

    “I'm… buying prompt libraries and just flooding them into our shared folders. Just to get people to experiment.” (Matt, [16:23])

  • Train and survey all employees to uncover new use cases and collect bottom-up ideas ([11:15]).

4. High-ROI Use Cases Right Now

A. Customer Experience (CX), Returns, and Support ([21:27], [23:16], [24:03])

• Immediate Impact:
  • Both guests cite AI’s transformative effect on customer service, enabling 24/7 multilingual support and reducing the number of human agents even as business scales.

    “We're going to launch in Poland this year and… prior to having this AI solution… the only customer service solution… is to call… an English speaking agent… This is enabling us to deliver a much better experience…” (Matt, [21:27])

  • Automating ticket handling, reducing cost per ticket by up to 70% ([23:16], Sean).

B. Content & Creative ([25:07], [28:28], [30:16], [32:40])

• AI Content Generation:
  • Creative production (video, static ads, blogs) is already being heavily AI-augmented.

    “YouTube Shorts is now reporting that 20 to 40% of all YouTube Shorts are basically just AI.” (Sean, [30:16])

  • Use AI to increase content velocity and target the “long tail”—SKUs or niche demographics that wouldn’t justify custom production.

    “We have a collegiate program… We can use AI to put in a fan in a jersey… I can do that for 250 schools now… two days of work instead of literally, you know, a three week long thing…” (Sean, [32:40])

• Segmentation & Consistency:
  • AI enables highly segmented campaigns and ensures uniform quality of briefs and deliverables.

    "There's a lot of value in just… reducing the beta across organizations… being able to give [teams] best practices packaged up." (Matt, [27:43])

C. Product Development ([21:27])

• Next Frontier:
  • Use AI to aggregate and analyze internal and external customer feedback for R&D—though full product design automation is not yet fully realized.

5. Who Wins: Incumbents vs. Upstarts ([34:58], [36:26], [37:58])

• Rebels Advantage Now:
  • Speed, low cost, and lack of technical debt favor “rebels”—fast, small operators who can move faster and adopt tools without permission ([35:17]).

    "I think this is for the rebels. Right?… People are doing themselves a massive disservice if they don't learn how to leverage this technology." (Craig, [36:26])

• Entrenched Player Advantages:
  • Incumbents could win long-term if gatekeepers like Amazon and Google own search/discovery and if companies overcome integration hurdles ([37:58]).
• Integration as a Bottleneck:
  • "The bottleneck is integrating these tools into our systems of record… being able to actually embed them in the workflow versus… something on their personal level." (Matt, [40:12])

6. Overhyped Aspects & Pitfalls ([40:12], [44:21])

• Integration Complexity:
  • Vendors dramatically underestimate the pain of integrating AI into legacy systems.

    "Every time we bring in an AI partner, they drastically underestimate the amount of work required…" (Matt, [40:12])

• Startup Hype:
  • Many VC-backed “AI startups” are overvalued and lack real product ([42:24]), with Craig describing a friend who raised at a $100M valuation before building a product.
• Replacing Legacy SaaS is Not So Easy:
  • Despite the hype, most AI so far is additive rather than truly replacing legacy SaaS stacks ([44:21]).

7. AI as a Core (Not Alone) Competitive Advantage ([32:40], [56:09])

• Strategy and business fundamentals still matter—a differentiated product and strong execution amplify AI’s value rather than being replaced by it.

  "…it really should be the opposite way—what is your strategy to win in your particular industry and how is AI… a tool… for making… you… execute that strategy… better." (Matt, [56:09])

Notable Quotes & Memorable Moments

• On the magnitude of change:

  “I feel strongly about a transformation like the scale of the Industrial Revolution, like this is the real deal.” (Craig, [00:00]; also [36:26])

• On learning by failing pilots:

  "We must have launched between 40 and 50 pilots over my time there… I learned why… 95% of AI pilots fail… but I lived that." (Craig, [03:40])

• On the necessity of speed:

  "As an employee, if you are hindered in any way from your ability to master and leverage this transformational tech… you should probably go somewhere where it is more celebrated and encouraged." (Craig, [36:26])

• On fostering internal adoption:

  "Just having people transform their team's profile photo into a Pixar character… just a couple of words… now it's this fun, engaging way." (Craig, [13:23])

• On process improvement:

  "My team spends hundreds of hours each quarter on things that never see the light of day… not because the Work isn’t good enough, but because the brief was off." (Craig, [26:15])

• On creativity democratized:

  "It is just democratizing creativity, right?… I can 3 click a website then show it to my designer who's going to make it better…" (Sean, [44:57])

Timestamps for Key Segments

• 03:40 – 07:15: Realities of running AI pilots and why so many fail.
• 09:19 – 13:23: The adoption challenge: excitement, buy-in, and how to create real “aha” moments for teams.
• 16:23 – 17:53: Team collaboration—sharing wins, prompt libraries, and live learning.
• 21:27 – 24:03: Where AI delivers value now—customer support, scaling with less.
• 25:07 – 34:30: Creative, segmentation, and long-tail content with AI.
• 34:58 – 37:58: Incumbents vs. rebels—who has the edge in AI adoption?
• 40:12 – 44:21: Overhyped: Integration hurdles, startup hype, and limits to replacing legacy SaaS.
• 49:05 – 53:44: The future: Will verticalized AI apps win? How are the speakers personally adapting?
• 56:09 – end: Who wins? Positioning yourself—and your team—for the AI-powered future.

Actionable Takeaways

• Start Small, Move Fast: Don’t wait for big company-wide investments; empower teams to test, learn, and share quickly.
• Celebrate Early Adopters: Make internal power users heroes—host forums/town halls to share practical, in-house wins.
• Bridge the Imagination Gap: Train, demo, give practical prompts, and provide prompt templates/libraries.
• Focus Where Friction is Low: CX, creative/content, and process standardization are areas with lowest barriers and highest impact.
• Top-Down Meets Bottom-Up: Executive mandate combined with grassroots “lab” exploration ensures strongest outcomes.
• Be Ready for Change: AI will keep getting better—invest in experimentation now to be ready for rapid improvements.

Closing Thoughts

• Craig: “The people that will win… are those who know how to use these tools to get better in their day-to-day to produce higher quality outputs more quickly… The people who will lose are those who don’t know how to master this.”
• Matt: “I don't think it changes… what makes companies successful today… You still need to have that differentiation, that strategy—AI is one tool in your toolkit.”

Connect with Guests

• Craig: chatwalrus.com – Teaches normal people to become AI power users.
• Matt: CIO at Bissell (bissell.com), open to connecting and sharing further insights.

Further Resources

• Craig’s Weekly Unrecorded AI Roundtables: “Only way to get into the group is to be invited by a founder already in it.”
• Newsletter & Forum: Operators podcast newsletter and E-Commerce Fuel for more in-depth operator discussions.