We don't need headcount.
We move to the obelisk.

ENGORGIO's team structure isn't a pyramid — it's an obelisk. Narrow and tall.

Three layers — top (judgment and accountability), core (design and implementation), edge (specialist connections) — put zero distance between decision and execution.

We don't solve problems with headcount. We prevent context from degrading through structure. The structure enterprises will need.

The people who proposed it build it. The people who built it operate it.

This isn't idealism — it's a design principle for preserving judgment quality.

What we defined as the problem, what we chose to sacrifice — that tacit knowledge doesn't survive a handoff document.

In a world where AI handles volume work, human attention belongs on judgment, design, and quality assurance.

ENGORGIO's team is built on that premise. A small team with long-term commitment is what makes "20% development, 80% operations" possible.

The era when team size was a proxy for value is over.

The obelisk's "edge" — specialist connections — is how we access expertise beyond our core.

Partnerships with Databricks, Snowflake, and other technology leaders structurally secure the expertise we need.

Specialization doesn't have to be internal. What matters is that connections are designed, not accidental.

Our team is designed for long-term commitment, not project-based rotation.

When the people who designed and built a system also operate it, operations are fundamentally different. They understand the trade-offs, what was sacrificed, and why.

20% development, 80% operations isn't a metric — it's a commitment to staying with what we build, long after the initial excitement fades.

Structure client challenges and design AI-native business models and strategies. Work as one team with engineers, designers, and SREs to drive ideas from concept to production.

Business design and orchestration. Prove value with working demos, not slides, and bring the team together to deliver transformation.

Engineers who have lived through the evolution of computer science and data technologies, now building products at the frontier of LLMs, AI agents, and RAG. Where deep development experience meets cutting-edge AI.

Redesign user experiences from the ground up with AI agents as the foundation — from UX/UI to dialogue and behavior between users and agents. Bridge brand identity with AI capability, taking work from prototype to launch.

In the obelisk, design and implementation are not separate phases. You see your work through to production and stay with it in operations.

UX/UI design, conversational AI design, agent behavior modeling, brand integration, prototype-to-production delivery.

In the age of AI, product launch is just the beginning. Application, infrastructure, AI models — all in scope. Through AI Native DevOps practices, sustain reliability and accuracy in production.

In the obelisk's 20/80 commitment — 20% development, 80% operations — you ensure what we build continues to deliver value long after the initial excitement fades.

SLO-driven reliability, Kubernetes/cloud-native infrastructure, AI model serving, observability stacks, incident management.

Break down psychological barriers across the organization and lead the shift from “should use AI” to “AI is default.” Drive lasting change through communication design, training, and coaching.

An independent layer in the obelisk — primarily active during the Scale phase, where technology meets organizational change and sustainable adoption is what counts.

Change management, workflow analysis, AI literacy programs, executive coaching, organizational transformation.