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AI and Emerging Tech Strategy

Digital Assets · Intermediate

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Chapter 4 / 5

Prof. Natalie Bergstrom

Professor of AI Consulting & AIVS Intelligence

CEXRES Academy

Emerging Tech Governance

AI and Emerging Tech Strategy

Protection and compliance for digital assets

0:00 / 8:52

CEXRES

Emerging Tech Governance

Protection and compliance for digital assets

Key Concepts

The Five Dimensions of AI-First Leadership

The Five Dimensions of AI-First Leadership is the discipline of leading an AI-augmented organization in a way that compounds — specifically as it applies to emerging tech governance. In digital assets & ai automation work this shows up as decisions about exception routing, evaluated through Autonomous exception handling so the team is never relying on taste alone. The goal of this concept is to give you a repeatable way to make the call when the data is incomplete and the stakes are real.

Starbucks applied this idea by anchoring its exception routing decisions to a measurable outcome rather than a quarterly deliverable; the result was a faster, cheaper path to the same business goal, and a model other teams inside the company could reuse.

Building Talent Density

Building Talent Density is the discipline of leading an AI-augmented organization in a way that compounds — specifically as it applies to emerging tech governance. In digital assets & ai automation work this shows up as decisions about 24/7 operations, evaluated through Token-gated community assets so the team is never relying on taste alone. The goal of this concept is to give you a repeatable way to make the call when the data is incomplete and the stakes are real.

Salesforce applied this idea by anchoring its 24/7 operations decisions to a measurable outcome rather than a quarterly deliverable; the result was a faster, cheaper path to the same business goal, and a model other teams inside the company could reuse.

Governance and Ethical Guardrails

Governance and Ethical Guardrails is the discipline of leading an AI-augmented organization in a way that compounds — specifically as it applies to emerging tech governance. In digital assets & ai automation work this shows up as decisions about token-gating, evaluated through Digital human lifecycle (Design, Build, Deploy, Evolve) so the team is never relying on taste alone. The goal of this concept is to give you a repeatable way to make the call when the data is incomplete and the stakes are real.

Klarna applied this idea by anchoring its token-gating decisions to a measurable outcome rather than a quarterly deliverable; the result was a faster, cheaper path to the same business goal, and a model other teams inside the company could reuse.

From Decision-Maker to Decision Architect

From Decision-Maker to Decision Architect is the discipline of leading an AI-augmented organization in a way that compounds — specifically as it applies to emerging tech governance. In digital assets & ai automation work this shows up as decisions about digital humans, evaluated through AIEO (AI Experience Orchestration) so the team is never relying on taste alone. The goal of this concept is to give you a repeatable way to make the call when the data is incomplete and the stakes are real.

Starbucks applied this idea by anchoring its digital humans decisions to a measurable outcome rather than a quarterly deliverable; the result was a faster, cheaper path to the same business goal, and a model other teams inside the company could reuse.

Methodology

1. The Five Dimensions of AI-First Leadership

2. Building Talent Density

3. Governance and Ethical Guardrails

4. From Decision-Maker to Decision Architect

Case Study

Challenge

Enterprise customers demanding more automation across sales and service without adding headcount.

Approach

Salesforce embedded autonomous Agentforce agents across its CRM that execute multi-step sales and service workflows, with humans managing by exception.

Outcome

Agentforce became one of Salesforce's fastest product ramps, signaling a shift from "software you use" to "digital labor you deploy."

Lesson

Lesson for you: the same Zero-Human Protocol discipline that worked for Salesforce is available to any team — the difference is having the method, not the budget.

Chapter Takeaways

Start every emerging tech governance effort by naming a measurable outcome in one sentence.
Use Zero-Human Protocol to score options against that outcome — never against taste or volume of activity.
Anchor the work in the five dimensions of ai-first leadership, which gives you a repeatable way to make the call under uncertainty.
Ship a small, measurable experiment in under two weeks; the team that learns fastest wins.
Remember: The Five Dimensions of AI-First Leadership — The Five Dimensions of AI-First Leadership is the discipline of leading an AI-augmented organization in a way that compounds — specifically as it applies to emerging tech governance.

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