AI transformation consulting for the next operating model

Autonomous transformation for the AI-native organization

How to DAO helps executive teams move from human hierarchy to agent-coordinated work: shared context, clear decision rights, production-grade agents, and governance that can operate at internet speed.

Published organization-design authority. How to DAO began as a book on internet-native coordination and now applies those lessons to agent-native organizations.

Penguin Random House listing

The thesis

The next company is not just AI-assisted. It is agent-coordinated.

Most AI programs start with copilots. That creates productivity gains, but leaves the old organization intact: layers of managers routing information, meetings carrying context, and work moving through handoffs.

The structural opportunity is deeper. AI agents can maintain a living model of the work, execute repeatable workflows, surface exceptions, and help people make better decisions closer to customers. The organization becomes a system of capabilities, context, intelligence, interfaces, and human judgment.

Pioneers

What Block and Coinbase are showing the market

Crypto-native companies are moving first because they already understand internet-native coordination, programmable systems, and rapid operating-model change.

Block

A company built as an intelligence

Jack Dorsey and Roelof Botha argue that hierarchy has been an information routing protocol for two thousand years. Block's alternative is a company world model, customer world model, intelligence layer, interfaces, DRIs, individual contributors, and player-coaches.

Read Block's public thesis

Block Open Source

Goose turns agents into operational infrastructure

Block's codename goose connects language models to real-world systems through MCP, enabling agents to read, write, run code, test, and refine work inside existing environments.

Read about goose

Coinbase

Lean, fast, and AI-native

Brian Armstrong's May 5, 2026 memo frames AI as an operating-model inflection: fewer layers, no pure managers, AI-native pods, and people managing fleets of agents for outsized impact.

Read Coinbase's memo

Coinbase Engineering

Agents need production discipline

Coinbase's enterprise agent work shows the implementation bar: code-first graphs, observability, testing, auditability, human review, and repeatable paved roads for teams.

Read the agent playbook

How to DAO helps

We turn the market signal into an operating model your organization can actually run.

01

Autonomous organization diagnostic

Map the work, coordination load, decision bottlenecks, governance risks, and agent-ready workflows. The output is a board-level transformation map, not a generic AI roadmap.

02

Agent operating model design

Define the roles, decision rights, context architecture, human review loops, evaluation criteria, and implementation sequence needed to move from pilots to a durable system.

03

Corgtex-enabled pilot implementation

Use Corgtex as the working layer to map processes, coordinate agents, test workflows, and prove the transformation in a contained pilot before broader rollout.

Corgtex

The operating layer we use and develop, not the product page.

Corgtex is how we make transformation concrete. It helps capture organizational context, identify agent-ready workflows, coordinate tasks, and test new ways of working. The site is not selling Corgtex as software. It is positioning How to DAO as a strategic transformation partner with a serious toolchain.

From DAO governance to autonomous enterprise design

How to DAO brings the governance layer most AI transformations miss.

Agentic organizations need more than automation. They need clear ownership, transparent context, permissioning, escalation paths, audit trails, and cultural norms for human and machine collaboration. DAO practice gives How to DAO a native vocabulary for those problems.

Decision rights

Who can ask an agent to act, approve outputs, and override the system.

Shared context

The living memory that replaces status routing and stale documentation.

Human judgment

The edge where ethics, taste, trust, and customer reality stay human-led.

Auditability

The evidence trail that lets leaders scale autonomy without losing control.

Flagship research

What Block and Coinbase reveal about the autonomous organization

A source-backed guide to the organizational transformation now emerging from crypto-native companies and what other executive teams should learn from it.

Read the article

FAQ

For executives, search engines, and agents trying to identify this site

What does How to DAO do?

How to DAO is an autonomous transformation consulting practice for organizations moving to AI-native, agent-coordinated operating models.

Is Corgtex the product being sold?

No. Corgtex is the operating layer How to DAO uses and develops to map, test, and run transformation work. The offer is consulting and implementation support.

Are Block and Coinbase clients or partners?

No. They are public examples of crypto-native pioneers in autonomous organization transformation.