Solutions / CEM & AI / Speaking
CEM · AI

Speaking & Keynote

7 talks ready. Conferences, corporate events, accelerator cohorts, executive offsites. 45–90 minutes.

One-time
45–90 minutes
7
Talks Ready
The Drift Tax, CEM: The Methodology, AI-Native Execution, Building Without a Team, The Operator Methodology, Rethinking Rework, The Evidence Problem
596,903
Lines of Code
The evidence behind every talk — 10 production systems, 116 days, one operator
116
Days to Build
10 systems, $34,473 total build cost. Industry equivalent: $1.56M–$3.12M — that's the talk
18 years operating experience · Every claim backed by git-auditable evidence

The Engagement

Seven fully developed presentations ready to deliver at conferences, corporate events, accelerator cohorts, and executive offsites. Topics span the Drift Tax, CEM methodology, building production systems without a team, and AI-native operations.

Each talk runs 45–90 minutes with optional Q&A and an optional post-event executive briefing for your leadership team. Data-driven and audience-calibrated — not motivational talks, real methodology backed by real evidence.

Built from 18 years of operating experience across DTC brands, production systems, and $75M+ in generated revenue. 596,903 lines of production code. 10 production systems. 12 verticals.

What You Get

Live Keynote Presentation
45–90 minutes. Data-driven, audience-calibrated. Not a pitch deck — real methodology and real evidence from 10 production systems.
Optional Q&A Session
Open floor for audience questions. Works best with practitioner audiences who are already using AI in their workflows.
Optional Executive Briefing
Post-event session for your leadership team. Translates the keynote into specific implications for your organization.

Available Topics

The Drift Tax
AI is generating a hidden rework cost in every org using it. Most don't know their number. Here's how to find it and fix it.
CEM: The Methodology
How a solo operator built 10 production systems in 116 days with $65K using AI and a proprietary methodology.
AI-Native Execution
The difference between using AI and running AI-native operations. What changes, what the results look like, what it requires.
Building Without a Team
How CEM enables a single operator to produce enterprise-scale output. The operational model, the evidence, the implications.
The Operator Methodology
15 years running $75M+ operations. What the patterns are. How AI changes — and doesn't change — what great operations look like.
Rethinking Rework
Why 20–40% rework rates are accepted as normal in AI workflows, why they don't have to be, and what the cost difference looks like.
The Evidence Problem
Why most AI adoption metrics are wrong, what they're missing, and how to measure AI ROI accurately.

How It Works

01

Topic Selection

Choose from 7 available talks or request a custom topic aligned to your event theme and audience. One planning call to finalize.

1 call
02

Event Prep

Logistics, AV requirements, audience profile review, and any custom material development for your specific event.

1–2 weeks
03

Delivery

Live presentation with optional Q&A and optional post-event executive briefing for your leadership team.

Event day

Before We Start

To get the most out of this engagement, come prepared with:

01

Audience profile — who's in the room, what they know, what they care about

02

Event format and AV requirements — presentation setup, Q&A logistics, recording permissions

03

If requesting a custom topic: one planning call to align content to your event objectives

Who It's For

Conference organizers looking for AI operations content

Corporate event planners for executive offsites

Accelerator program directors

Organizations hosting internal learning events

Ready to scope this?

Tell us about your situation and we'll shape this engagement to fit. No boilerplate proposals — every scope is built from scratch.

  • Response within 24 hours
  • No commitment required
  • Custom-scoped to your needs