Framework built on principles developed at MIT

This course is the perfect on-ramp for a fresh start in an AI world.

A small room. By design.

What's discussed in this room stays here. No competitors required to reveal anything they're not ready to share. This is the same confidential environment organizations pay $5,000 to access privately—the difference is a small cohort learning together.

Join a Cohort

Going on this journey with friends makes it infinitely more successful. When you run into noise and confusion, few things help you through it like the support of a cohort of others who are learning the same trails. After the first full-day intensive each cohort will meet up quarterly for three more gatherings to debrief what they've learned and share tools and tips with the group to help them likewise expand their expertise. Most of our workshops are private bookings but we also nurture requests for collaborative cohorts when someone expresses an interest from a particular city. Cohorts are currently forming in the following locations. Join the wait list to be notified when we have enough to build that session. 

One Day. A Full AI Team. Twelve Months of Support.

There are plenty of AI introductions available right now, most of them free. Attend them. They will give you a map. This is the trail.

AI as Accelerant is a deployment day, not a learning event. You arrive with real business problems and you leave with a functioning agentic team: a Chief of Staff agent, supporting agents trained on your specific workflows, an execution model built for your organization's size and culture, and a 90-day deployment roadmap you understand well enough to run without us in the room. The afternoon does not end with inspiration. It ends with operational AI systems running on your actual business.

The morning is open to anyone who wants to understand the terrain before committing. The afternoon is for the ones who decide to build.

Arrive to coffee and breakfast. The morning is intentionally unhurried. This is your time to settle in, meet the room, and bring your real questions, not the ones that sound polished but the ones that have actually been keeping you up.

The first ninety minutes are open to anyone. No commitment to the full day required. We cover where AI actually is right now (not the hype version), why adoption rates in almost every industry are shockingly low, and what that gap means for anyone willing to move first. You'll hear from Amber's 150+ consultations: what the people who have already deployed are doing, what broke, and what surprised them.

This is a real briefing, not a sales pitch. Bring skepticism. It's useful here.

At 10:30, you decide: take what you have and go, or stay and build. Either is the right answer. If you stay, the work starts immediately.

First a snack. Then, the full-day + year-long cohort shifts into working mode. You'll take an honest look at where administrative friction is costing you time and revenue, then select the AI execution model that fits your organization's size, culture, and risk tolerance.

Part of the diagnosis is choosing the right execution model for your organization. The MIT xPRO AI Strategy curriculum identifies three: Hub and Spoke, where a central AI function supports distributed teams; Centralized, where all AI capability and oversight lives in one place; and Center of Excellence, where a cross-functional group sets the standards, governs adoption, and enables the rest of the organization to build confidently. Most small businesses start centralized without knowing it and scale toward Hub and Spoke as their team grows. Knowing which model fits your current size and culture is what separates a successful deployment from a stalled one. You leave this block with that clarity.

12:00pm to 1:00pm: Lunch (included)

By 4:00pm, you will have a functioning AI agentic team. Not a concept. Not a prototype you hand to IT. A working system you understand well enough to train, adjust, and expand yourself.

We begin with very low risk automations for your ordinary life. Common choices are diet/health/wellness, email processing, household maintenance management, graphic design, social media automation, business strategy, and market research.

The afternoon moves through building your Chief of Staff agent, designing the rest of your team, running live tests, and stress-testing the system against your real workflows. Group discussion closes the session. A 90-day deployment roadmap is part of what you leave with.

Your cohort continues after today: three quarterly meetups, a private community of practitioners across industries, and ongoing access to resources as the technology evolves.

FAQs

You have questions. Good. The people who show up having thought this through tend to get the most out of the day. Here's what comes up most often.

Cohort Comments

Medical clinic administrators, real estate brokers, nonprofit executives, and architecture firm principals have all sat in this room.

So have restaurateurs, educators, event planners, attorneys, and independent creatives. The framework adapts because the underlying problem is the same regardless of industry: too much administrative weight on the people who should be doing the work that only they can do.

Most participants arrive uncertain. Some arrive skeptical. A few arrive with genuine moral and ethical objections — concerns about labor displacement, creative ownership, algorithmic bias, and the pace of change that nobody asked permission for. Those concerns get addressed first, not managed around. This is one of the most important conversations a professional can have right now, and it belongs at the beginning of the day, before any building starts.

What brings people from such different fields to the same table is not enthusiasm for AI. It is the clear-eyed understanding that AI is not going away, and that the question is no longer whether to engage with it but whether to direct it or inherit someone else's version of it. Learning to build and operate your own agentic team is not the same as hiring a consultant to build one for you. When the consultant leaves, the system is a black box. When you build it yourself, you own it, you can adapt it, and you can teach it to someone else. In a market that is moving this fast, that competence is what protects a career and a business long term.