How to Reinvent for your Future customer and win with AI by‍ TRENT GILLESPIE

February 11, 2026

Thanks for attending my keynote talk! 

Here are the additional resources I promised:

  1. Key Slides
  2. Here is a link to my Sales Pre-Call GPT. Customized versions are available.
  3. Here is a link to my Future Customer Analyzer to identify your Future Customer and how they change.
  4. Here is a link to my AI Strategy Assessment & 90 Day Action Plan tool
  5. ‍Below is the AI summary of the keynote talk.

Need help with AI? Here is a link to the AI Jumpstart service through my company, Stellis AI.

Have other questions? Contact Trent

Presenter: Trent Gillespie | AMC Institute Annual Meeting

The Conference Room Moment

Trent opened with his Amazon origin story—on his third day at Amazon, he was called to the VP's office and asked to fix Amazon's global growth despite having no experience in the area. That single decision to lead before he was ready changed his entire career, leading him to drive Amazon's expansion globally, reinvent last-mile delivery, and define privacy standards for Alexa. He positioned the audience in their own "conference room moment"—an inflection point where leaders must decide whether to lead their organizations into the AI-enabled future or let the opportunity pass.

The Two Big Mistakes Leaders Make

Mistake #1: Treating AI as an IT Project

AI is not a CRM upgrade or tool rollout—it's a complete business transformation that will change products, services, delivery methods, cost structures, customer base, and required skills across the organization.

Mistake #2: Optimizing for a World That No Longer Exists

Leaders are applying AI to processes designed 10-20 years ago instead of reinventing processes to leverage AI's unique capabilities. Success requires vision to imagine how the organization will succeed in an AI-enabled future.

Current AI Adoption Reality

Survey data shows employees using AI daily report 20% productivity improvements and better work quality. Weekly users see only 5% gains. Currently, 40% of employees already use AI at work—even without authorization—and adoption is approaching 50% this year. Organizations not enabling AI use are leaving opportunity on the table and creating potential data security risks.

Key message: Get AI out of the shadows and empower employees by providing business-grade tools.

The Amazon Vision Method

Amazon created vision by asking: "What would our future customer want five years from now?" They imagined that future and worked backwards to build it before anyone else—creating Kindle, Alexa, and other innovations. With AI, customer expectations are already changing rapidly: 58% of consumers have replaced traditional search engines with ChatGPT, proving business strategies aren't keeping pace with customer behavior.

What Changes When Intelligence Becomes Cheap?

Intelligence—decision-making, judgment, creativity—is now available 24/7 for $30/month. Historically, intelligence was what organizations paid most for through leadership compensation and organizational structure. Now it's approaching the cost of electricity, but unlike electricity, AI actively watches, monitors, and takes action.

Live Demonstration

Trent demonstrated AI's capabilities by having ChatGPT design a member reactivation system, then building it live in five minutes using an AI coding agent. The resulting application could identify expired members, queue them for renewal campaigns, and send automated follow-up emails—all for $0.99. This illustrated how any employee can now build tools to solve problems in minutes for less than a Starbucks, fundamentally changing organizational capability and competitive dynamics.

Reinventing Processes with AI at the Center

Amazon Tokyo Example

Trent shared how Amazon's Tokyo drivers plotted deliveries on paper maps—massively inefficient. His team trained AI on all delivery processes: package routing, vehicle optimization, Tokyo roads, timing, and parking. The result: drivers received optimized daily routes on their phones, ending 16-hour days, improving customer delivery, and enabling Amazon to create tens of thousands of new jobs in Japan by redesigning processes around AI capabilities.

The New Infrastructure

For AMC Institute specifically, Trent outlined how managing multiple associations with different systems (AMS, LMS, CMS, CRM) creates complexity and cost. In the AI-enabled future, organizations should reorganize around core business capabilities as "pillars": Membership & Revenue, Member Engagement, Learning & Events, Operations & Finance, and Governance. Training AI agents to handle these capabilities creates an "operating system" that works across different associations' varied tech stacks, enabling more cost-effective scaling.

The Agent Economy

The future divides into two types of AI:

General Purpose Agents (ChatGPT, Copilot): Swiss army knives trained on world knowledge, great at many things but lack access to your specific data. These will replace email systems, CRMs, and other applications built to track human activity.

Specialty Agents: Built for your business with access to your data and processes, managed like employees. Examples include member onboarding agents, continuing education agents, event planning agents, and board meeting preparation agents.

Agent-Based Prospecting

Trent demonstrated a multi-agent sales process being implemented for clients: A prospecting agent finds leads 24/7 → qualification agent checks fit against ideal customer profile → research agent gathers public information and creates detailed prospect profiles → AI generates hyper-personalized sales strategies for each prospect. Salespeople now manage these agents rather than making cold calls, spending time on strategy and supervision instead of manual research.

Agent-to-Agent Commerce

In the future, customers' AI agents will interact directly with organizations' AI agents. A member's general purpose AI might search for "health care education credits," find relevant providers, and conduct entire sales conversations—sharing information, comparing options, potentially even completing purchases—all before a human gets involved. Organizations must plan for visibility to AI agents and enable them to interact with their specialty agents.

Revisiting Member/Customer Values

Trent introduced his five-question Future Customer Framework for creating organizational vision:

  1. What do your customers say they value most today? (Typical responses: relationships, reliability, operational efficiency)
  2. Which values will still differentiate you when know-how is free and instant?
  3. Which values can you no longer charge for because AI provides them free?
  4. Where do customers still desire or need human touch?
  5. What brand new value can you bring because intelligence is cheap?

Association-Specific Transformations

Past customer expectations versus AI-enabled future expectations:

  • Run operations/governance → Decision Agent monitoring operations and auto-informing boards of key information
  • Execute on behalf of members → Member Growth Agent personalizing everything and identifying at-risk members
  • Run events → Event Revenue Agent with repeatable playbooks and guaranteed ROI

What's Left for Humans? Vision.

When intelligence is no longer the limit, imagination is. The ability to see opportunities, create plans, and bring organizations along—that's the opportunity at every level. Amazon empowered everyone to innovate, and leading organizations are doing the same: distributing vision and enabling people to execute. The smartest people won't be those who know the most, but those who know how to think and innovate with AI.

The AI SPRINT Framework

A six-step methodology for organizational transformation through monthly learning rhythms:

S - Spark action for leadership education. Align leadership teams through hands-on education together, assign a transformation owner (not IT), and begin monthly transformation sprints immediately.

P - Position your company to win with AI. Answer the five Future Customer questions to design for AI-enabled customers and create organizational vision.

R - Rally employees to use AI daily. Make AI use safe, normal, expected, and rewarded through acceptable use policies, job security communications, foundational training, and incentives for smart use.

I - Integrate processes with AI. Start with sales/marketing or core business capabilities. For AMC Institute, build specialty agents around key pillars to create your organizational "operating system."

N - eNable culture of innovation. Giving employees AI combined with expectation to innovate creates 100% improvement in innovation ability. Monthly sprints create ongoing experimentation and learning rhythm.

T - Trailblaze new offerings. Answer the final two Future Customer questions about human touch and new AI-enabled value to create growth opportunities.

The message: Transform through monthly progress at every organizational level, not one big project.

Safety and Risk Management

Every tool has risk, but the risk is in misuse, not the tool itself. Four key recommendations:

  1. Use paid business-level AI that doesn't train on your data. Free apps create security risks and lack liability protection.
  2. Set security standards: No financial information, no PII (like health data). Treat AI like Google Workspace or Microsoft 365 for data appropriateness.
  3. Always review output: AI is approximately 90% accurate. Train employees to look for the 10% errors.
  4. Remember you're the decision maker: Content you share represents your capabilities and reputation. Edit and verify before passing along.

Action Items

  • Scan QR code for presentation slides and eight-minute summary
  • Align leadership team on AI understanding and transformation ownership
  • Provide business-grade AI tools to employees immediately
  • Begin monthly transformation sprints—what can you accomplish in the next 30 days?
  • Answer the five Future Customer questions to create organizational vision
  • Create acceptable use policy and address job security concerns with communication plan

Q&A Highlights

(Questions were embedded throughout the presentation rather than in a dedicated Q&A session)

On daily AI usage: Approximately 80% of AMC Institute audience members raised hands as daily AI users—significantly higher than typical audiences and representing strong readiness for transformation.

On agent-based prospecting utility: Audience confirmed strong interest in the demonstrated multi-agent sales process for qualified lead generation with hyper-personalized strategies.

On future agent-to-agent commerce: Mixed reactions—some concern, some excitement—about AI agents conducting business on behalf of members without human involvement.

Closing: Day One Philosophy

Trent closed with Amazon's "Day One" philosophy: Start every day as if it were your first—with the same hunger to make a difference, passion to solve customer problems, and courage to take risks. Leaders today sit in their own conference room moment. The question isn't whether they feel prepared—it's whether they will lead.

"You have the best tools humans have ever invented. Today, each of you has the moment."