APPLIED AI in DISTRIBUTION:
DESIGNING AI-ENABLED DISTRIBUTION COMPANIES
WITH TRENT GILLESPIE
June 24, 2025
Key Slides
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The Big Idea: AI Isn’t a Threat—It’s Your Leadership Opportunity
Trent opened the keynote by addressing the common anxiety many leaders feel about AI: not knowing where to start, feeling too far behind, or worrying that the best opportunities have already passed.
He emphasized that these fears are misplaced. AI isn’t just another wave of tech hype. It’s the most significant leadership and business opportunity of the decade.
While AI is being positioned by some as a threat to jobs and industries, Trent reframed it as the chance for organizations—and individuals—to lead, innovate, and thrive. Most companies are far behind the AI curve. Very few are tapping even a fraction of AI’s full potential.
Trent made it clear: The bold aren’t waiting for AI to happen to them. They’re using it to reinvent what’s possible—starting now.
The AI SPRINT Discipline: The New Operating Rhythm
Trent stressed that success with AI isn’t about one-off projects or large, slow-moving digital transformation initiatives. The companies making real progress are doing something simpler and far more effective: they’re building a new monthly discipline.
He introduced what he calls The AI SPRINT—a lightweight but powerful operating rhythm for organizational learning and adaptation.
The core cycle:
- Each month, leadership and teams commit to trying one new way to use AI in their work.
- They execute it.
- At month-end, they reflect on what worked, what didn’t, and what they learned.
- Then they repeat the process for the next month.
This creates a culture of consistent learning, experimentation, and forward momentum—without waiting for perfect plans or budgets.
The AI SPRINT Framework: Six Steps to Lead with AI
Step |
Name |
Focus |
Key Actions |
S |
Spark Action with Leader Education |
Spark the fire. Get leadership aligned and moving. |
- Educate your leaders on AI, hands-on. Not theory—real tools. |
P |
Position Your Company to Win with AI |
Design your company for future AI-enabled customers. |
- Define your strengths and double down with AI. Don’t undercut what makes you unique. |
R |
Rally Your Employees to Use AI Daily |
Create momentum. Make AI normal and expected. |
- Create safety and guardrails. Write an AI use policy to set guardrails, and address job impact concerns. |
I |
Integrate AI into Sales and Marketing |
Target immediate business impact. |
- Start with sales and marketing. Fast ROI, low risk, and proven results. |
N |
Enable a Culture of Innovation and AI |
Make AI use a reflex, not a one-time event. |
- Set clear expectations. Make it normal and expected to try AI every week. |
T |
Trailblaze with New Offerings to Create Growth |
Leave competitors behind by inventing the future. |
- Invent for your future customer. Build products and services for where your market is going. |
Real-World Results Are Already Happening
To underscore that AI progress isn’t theoretical, Trent shared real examples of distributors already using AI today to unlock major efficiencies and cost savings.
Some highlights included:
Use Case |
Outcome |
Invoice processing automation |
82% cost reduction and 72% faster turnaround time |
AI-powered quoting |
79% reduction in quote response time |
AI catalog lookup for part selection |
80–90% accuracy achieved with only a $6,000 proof-of-concept investment |
Marketing content personalization |
Up to 400% productivity improvement for marketing teams |
PDF-to-spreadsheet data conversion |
$250,000 in annual labor cost savings |
These examples drove home the point that AI-driven wins are happening now, across multiple operational areas—from back-office finance to front-line sales.
AI Agents & AI-to-AI Commerce: The Next Evolution
Trent then shifted focus to what’s next: the rise of AI agents and swarms of agents acting as digital workers within organizations.
He explained how organizations are starting to deploy:
- General-purpose agents (like ChatGPT, but company-trained)
- Specialty agents (focused on key functions like pricing, forecasting, or logistics)
- Reasoning agents (capable of multi-step, reflective problem-solving)
- Swarms of agents (coordinated, autonomous agent teams completing complex workflows)
Looking ahead, Trent painted a clear picture: The next wave is AI-to-AI commerce.
Soon, customer AI agents will be researching, negotiating, and placing orders—without human interaction.
To stay relevant, companies must ensure their systems are discoverable and accessible to AI buyers, likely through emerging standards like the Model Context Protocol (MCP).
Trent’s warning was blunt:
If a company isn’t ready for this, they risk becoming invisible in future commerce.
The Vision Question: What’s Left for Humans?
As AI makes decision-making and execution cheap and fast, Trent pushed the audience to confront a critical question:
What becomes the human edge?
His answer: Vision.
Trent stressed that when intelligence becomes infrastructure, imagination becomes the leadership differentiator.
Leaders and employees who succeed in the future will be those who:
- Spot unseen customer problems
- Imagine new ways to deliver value
- Connect business needs with AI capabilities
- Orchestrate teams of humans and AIs to deliver outcomes
Vision, adaptability, and customer understanding will separate future leaders from those left behind.
Immediate Next Steps for Attendees
To close, Trent gave the audience three specific actions to take immediately:
✅ Commit to using AI tools daily (no more passive observation)
✅ Pick one process to automate (either for themselves or their team)
✅ Start their first AI Sprint this month (build momentum now)
Final Thought
Trent ended by reinforcing the core message:
The bold aren’t waiting for the future. They’re inventing it.
He invited everyone in the room to make this day their own Day One for AI leadership.
Tool Recommendations
Trent recommended the following tools during the presentation:
- ChatGPT
- Agent Frank (AI salesperson agent)
- Lindy (AI agent builder for individuals)
- Make.com (No-code automation platform)
- n8n.com (Workflow automation platform)
- Model Context Protocol (MCP) (AI-to-AI commerce infrastructure standard)