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Before AI, the Reorganization: How Operations Became a System at CERC
Featured

Before AI, the Reorganization: How Operations Became a System at CERC

CERC's operations had a problem that looked like it needed AI. The answer started in the opposite direction: restructuring who owned what. The Madonna agent and the dott.ai certification platform came afterward. How Operations stopped executing processes and started helping define how the system operates.

Iasmine Massignan Rinaldi ·
Intelligence at Scale: What We Brought to the Google Cloud Next '26 Stage
Featured

Intelligence at Scale: What We Brought to the Google Cloud Next '26 Stage

André Racz, CERC's CIO, was a panelist at session BRK1-078 of Google Cloud Next '26 in Las Vegas. In this post, he shares key insights on agentic AI at scale, CERC's three production platforms, and a new ROI metric: the Human Developer Equivalent (HDE).

André Racz ·
Agentic Leadership, Part 1: The Question No One Was Asking
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Agentic Leadership, Part 1: The Question No One Was Asking

In early 2026, the best engineers at KYP started closing 8 pull requests per day. This is not a story about tools. It's a story about the operating model question that made that number possible.

Sandor Caetano, Lucio Passos, Juliano Pereira ·

Recent Articles

Agentic Leadership, Part 3: What We Got Wrong

Agentic Leadership, Part 3: What We Got Wrong

Rebuilding an operating model around AI is not a technical project. It's an organizational transformation project that involves technology. Here's what we underestimated, what makes this approach different, and what we're building next.

Sandor Caetano, Lucio Passos, Juliano Pereira ·
Before AI, the Reorganization: How Operations Became a System at CERC

Before AI, the Reorganization: How Operations Became a System at CERC

CERC's operations had a problem that looked like it needed AI. The answer started in the opposite direction: restructuring who owned what. The Madonna agent and the dott.ai certification platform came afterward. How Operations stopped executing processes and started helping define how the system operates.

Iasmine Massignan Rinaldi ·
Agentic Leadership, Part 2: Organizational Intelligence as Code

Agentic Leadership, Part 2: Organizational Intelligence as Code

If an AI task cannot be solved in less than 24 hours, the bottleneck is not the task — it's the organizational infrastructure around it. This post describes the architecture we built to make that executable.

Sandor Caetano, Lucio Passos, Juliano Pereira ·
Intelligence at Scale: What We Brought to the Google Cloud Next '26 Stage

Intelligence at Scale: What We Brought to the Google Cloud Next '26 Stage

André Racz, CERC's CIO, was a panelist at session BRK1-078 of Google Cloud Next '26 in Las Vegas. In this post, he shares key insights on agentic AI at scale, CERC's three production platforms, and a new ROI metric: the Human Developer Equivalent (HDE).

André Racz ·
Agentic Leadership, Part 1: The Question No One Was Asking

Agentic Leadership, Part 1: The Question No One Was Asking

In early 2026, the best engineers at KYP started closing 8 pull requests per day. This is not a story about tools. It's a story about the operating model question that made that number possible.

Sandor Caetano, Lucio Passos, Juliano Pereira ·
From Vague Prompt to Executable Spec: BDD and TDD in the Age of AI-Driven Development

From Vague Prompt to Executable Spec: BDD and TDD in the Age of AI-Driven Development

How BDD and TDD transform AI code generation results — with practical examples of where vague instructions fail and structured specification makes the difference.

Vitor Melon ·
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