Stop AI Renting Efficiency. Start Building Equity.

A four-week executive program for C-suite leaders in the private markets industry. Move beyond chatbots to the Judgment Classification Framework, the only way to govern AI in a fiduciary environment where accuracy is the currency.

4 Weeks | Modules + Live Executive Q&A
Board-Ready 90-Day Implementation Roadmap
Limited Spring 2026 Enrollment
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First cohort — limited seats

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You don't have an adoption problem. You have a perimeter breach.

While leadership debates strategy, your team is already using AI. They are pasting deal data into public models to survive their workload. The choice is not between AI and no AI. It is between Governed AI and Shadow AI.

"The choice is not between AI and no AI. It is between Governed AI and Shadow AI."

The Shadow AI Leak

Your junior staff is not acting in bad faith. They are trying to be efficient. But every time they use a personal account to summarize a data room, they breach your privacy perimeter. You need a Sanctioned Alternative before you lose IP.

Institutional Inconsistency

Five associates using five different prompts produce five different versions of the Firm View. This fragmentation erodes the consistency your LPs rely on. Without a Logic Layer, you lose control of your narrative.

The Solutionism Trap

Most firms buy tools before they define problems. This leads to expensive implementations that solve nothing. We stop the spending until you have applied the Problem-First Framework.

Four weeks to move from Observer to Architect.

Each week builds on the last. By the end, you own a complete decision-making system, not just awareness of the issues.

01

The Fiduciary Standard and the Super-Associate

We dismantle the black box. You will learn why speed is a commodity and accuracy is the currency. We introduce the Super-Associate mental model to define exactly what AI can do (Synthesis) and what it cannot do (Judgment).

Key Concept: The Truth Gap and Hallucinations as Structural Features
02

The Judgment Classification Framework

The operational core of the course. Stop asking "Can we use AI?" and start asking "What is the Blast Radius?" You will learn to classify every workflow into three categories:

Judgment-Critical: Human Authorship Required (LP Letters, Valuations)
Judgment-Supported: The 60/40 Rule (Memos, Research)
Judgment-Light: Systemic Spot-Checks (Data formatting)
03

The Problem-First Approach

Avoid the money pits. We apply the Impact/Complexity Matrix to your backlog, separating Quick Wins that build governance muscle from Strategic Bets that create competitive moats. You will map your opportunities to three domains: Internal, Client-Facing, and End Customer-Facing.

04

Implementation Strategy: Build vs. Buy

The critical economic decision: Rent the tool (OpEx) or Build the Logic Layer (CapEx)? We teach you how to treat AI configuration as a transferable software asset that increases Enterprise Value.

Key Outcome: Your 90-Day Execution Roadmap

Don't just learn frameworks. Own them.

This is not a lecture series. It is a guided consulting engagement. You will leave with the same assets we deliver in our $20,000 assessments.

01

The Shadow AI Audit

A discovery tool to identify ungoverned usage without punishing staff.

02

The Decision Matrix

A Build vs. Buy calculator calibrated to your specific data types and risk profile.

03

The 90-Day Roadmap

A tactical sprint plan to secure your first Quick Win and eliminate Shadow AI.

04

The Governance Protocol

A 60/40 review standard for Judgment-Supported work, ready to embed in existing workflows.

05

The Judgment Classification Framework

A repeatable system for classifying any workflow by risk level before applying AI.

06

A Shared Leadership Language

The vocabulary to align your executive team and present AI decisions to your board.

Built for the Governance Layer, not the Engineering Layer.

No technical background required. Every concept is explained in plain language. The course is designed for executives who need to govern AI, not implement it.

  • COOs and Heads of Operations who need to scale AUM without scaling headcount
  • General Counsels and CCOs who need to defend AI outputs to regulators
  • Fund Administrators handling high-volume, high-stakes document processing
  • Investment Partners who need to stop rubber-stamping AI drafts
  • Partners and Managing Directors with firm-wide accountability
Not the right fit if you are:

Looking for code, shortcuts, or automation without oversight. This is a governance curriculum for decision-makers in fiduciary environments.

Firms That Belong in This Cohort
Fund Managers & Family Offices
GPs navigating AI adoption across deal, portfolio, and investor relations functions.
Fund Administrators
Service providers looking to adopt AI without exposing client data or degrading accuracy.
Legal, Compliance, and Audit Providers
Firms serving private markets clients who need a governed approach in high-stakes workflows.

Designed for executives with no time to spare.

Pre-Recorded Core Modules

Watch on your schedule. Pause, rewind, revisit. No live attendance required.

Weekly Executive Q&A

One live session per week. Bring your firm's real challenges and work through them with the cohort.

Cohort Format

Learn alongside peers from across private markets. Shared context makes the Q&A sessions most valuable.

Practical Application Each Week

Every week closes with a framework you apply directly to your firm.

No Technical Background Required

Built for executives who govern AI, not engineers who build it.

A Clear Next Step at the End

Week 4 closes with a 90-day roadmap and a natural path to Trekka's assessment and implementation services.

Built and taught by practitioners, not theorists.

Both instructors have operated inside the environments this course is designed for. The frameworks taught here come from real decisions made in private markets, not from the outside looking in.

Skyler Steinke
Strategic Advisor, Trekka | Fund Administration Executive & Growth Architect

With over two decades of operational and advisory expertise across the private markets ecosystem, Skyler has held executive roles at global administrators including Trident Trust and Stonegate Global. He bridges back-office risk and front-office revenue in a way most technologists cannot. As former Chief Revenue Officer of a venture-backed enterprise AI and tokenization platform, he led the implementation of GenAI workflows built specifically for private equity, real estate, and hedge funds. He knows how to convert unstructured data into governed workflows because he has actually built them. He teaches you how to construct the infrastructure that survives an audit while accelerating growth.

LinkedIn →
Yvonne Newlands
Co-Founder, Trekka | Operating Model & AI Transformation Executive

A veteran of the Big 4 and AI startups, Yvonne specializes in Operating Model Redesign, turning strategic vision into the specific, governed workflows required to execute. She brings hands-on AI automation building experience from early-stage AI companies, combined with the rigor of enterprise transformation at scale. Her core discipline is knowing where AI belongs and, just as importantly, where it does not. Before any building starts, she ensures AI is not being applied in places where the real fix is leadership clarity, process redesign, or decision ownership. She teaches you how to structure the Human-in-the-Loop.

LinkedIn →

What executives ask us most.

If something is not covered here, it will be answered in the discovery call or the first live Q&A session.

Do I need a technical background to take this course?
No. This is not a technical course. It is a leadership and governance curriculum. Every concept, including how AI works, how hallucinations happen, and what RAG means in practice, is explained in plain language designed for non-technical executives. If you can lead a firm, you can follow this course.
How much time does this require per week?
The pre-recorded modules run 45 to 60 minutes per week, with downloadable assets included for each session. The live Q&A adds one hour. Total weekly commitment is under two hours.
Is this course for individuals or can we enroll as a team?
Both. However, we strongly recommend enrolling as a Governance Pod (Ops, Legal, Finance). If your associates use five different prompts, they produce five different versions of the "Firm View," creating Institutional Inconsistency. Enrolling as a team ensures your leadership establishes a unified, defensible governance standard from Day 1. Team pricing is available. Reach out to discuss what makes sense for your firm.
What happens after the course? Does Trekka offer implementation support?
Yes. The Academy is the prerequisite for the Trekka AI Readiness Assessment. For firms that want to move from frameworks to execution, the Assessment provides a bespoke gap analysis and a 90-day implementation roadmap. If your firm proceeds to the Assessment, 100% of your Academy tuition is credited toward the Assessment fee.
How is this different from other AI courses available right now?
Most AI courses teach you how to go fast. We teach you how to go right. In private markets, speed is a commodity and accuracy is the currency. An LP report delivered in 24 hours with a 1% error is a material failure. This course provides the Judgment Classification Framework to govern AI in a fiduciary environment where "the AI hallucinated" is not a valid legal defense.
We already bought enterprise AI licenses. Do we still need this course?
Yes. Buying a tool is just renting efficiency (OpEx). When the subscription ends, the capability disappears. This course teaches you how to transition from renting tools to building a proprietary Logic Layer (CapEx). We show you how to securely connect generic AI models to your proprietary data to create a transferable software asset that increases your firm's enterprise value.
When does the first cohort start and how many seats are available?
The first cohort launches in early March 2026. Enrollment will open before then. Seats are intentionally limited for the first cohort to ensure the live Q&A sessions are genuinely valuable. Joining the waitlist is the best way to secure a spot when registration opens.

Reserve your spot in the first cohort.

Enrollment opens before the March launch. Waitlist members hear first and get priority access.

You're on the list.

Enrollment details will come directly to your inbox when registration opens.