Redesign how your company builds, decides, and executes with AI.

I work with leadership teams to redesign their operating environment so AI compounds across every team, project, and hire — not just the people who know how to prompt.

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Methodology proven across 25+ companies450+ professionals trained

THE PROBLEM

AI tools aren't the bottleneck. How work is organized is.

Your team has access to the same AI everyone else does — Copilot, ChatGPT, Claude, internal tools. The technology is mature and accessible. But output isn't compounding. Features still take weeks instead of days. AI-generated work still needs heavy human rework. Every new project feels like starting from zero.

That's not a capability gap. It's a design gap. Your organization was built for how humans coordinate — through implicit context, informal handoffs, and tribal knowledge. AI can't operate in that environment. It needs explicit context, clear ownership, and orchestrated execution.

ENGINEERING

Senior engineers spending hours re-prompting because specifications live in someone's head, not in a system.

LEADERSHIP

Decisions based on AI output that's inconsistent across teams — same question, different person, different answer.

CROSS-TEAM

Projects stall because every department's AI usage is siloed — no shared context, no shared standards, no continuity.

None of this shows up on a dashboard. It shows up in the hours burned re-prompting, reworking, and re-aligning. Across a 10-person team operating at a fraction of their AI-leveraged potential, that gap represents €500k+ per year in unrealized capacity.

It's not getting better with more tools. It gets better with a different operating environment.

THE SHIFT

Most companies are AI-enabled. Almost none are AI-first.

AI-enabled means adding AI to existing processes — the same workflows, the same coordination, the same way of defining work. Someone opens a chat, gets an answer, copies it back. Output looks faster on the surface.

But review cycles are longer. Consistency is lower. Tribal knowledge still runs the operation. And every new team, project, or hire resets the clock.

AI-first means redesigning how work is specified, executed, and reviewed so that both humans and AI operate inside the same system. Context is written once and reused many times. Standards are embedded, not assumed. AI compounds instead of resetting.

AI-Enabled

AI is a tool people use

Output depends on who's prompting

Every new project starts from scratch

Context lives in people's heads

Faster output, longer review cycles

AI-First

AI is embedded in how work flows

Output is consistent regardless of who triggers it

Every project builds on the last one

Context is structured infrastructure

Faster output, shorter review cycles

This isn't a technology change. It's an operating model change.

THE TRANSFORMATION

What AI-first looks like inside your company.

Your specifications are written once and reused across every AI interaction — no more re-prompting, no more guessing. Every team member gets the same quality of AI output, regardless of their prompting skill.

New hires reach full productivity in weeks, not months. The context they need isn't trapped in someone's head — it's structured, accessible, and already embedded in the tools they use.

Cross-team projects don't reset the clock. The agents, workflows, and standards your engineering team built last quarter are assets your product team uses this quarter.

Leadership decisions are informed by AI output they can trust — consistent across teams, traceable to source, and aligned to your standards. Not a different answer depending on who asked.

Your 10-person team produces the output of 30.

Six working sessions. That's the distance between where you are and where this starts.

HOW IT WORKS

Four layers. Six sessions. A permanent shift in how your team operates.

Every engagement follows the same architecture — adapted to your team, your stack, and your business reality.

01

Context as Infrastructure

Work is redesigned so context is written once and reused many times — removing dependence on tribal knowledge and preventing AI from guessing.

02

Internal Agents

Custom agents that carry your company's standards, context, and rules — so output is consistent regardless of who triggers the work.

03

AI-Embedded Workflows

AI moves from a side tool into the process itself — with defined steps, clear handoffs, and human review where it matters.

04

Organizational Continuity

Every specification, agent, and workflow becomes an asset the next project builds on. AI compounds instead of resetting.

What you're left with isn't a report or a set of recommendations. It's an operating environment your team runs on long after the engagement ends.

RESULTS & PROOF

The results are arithmetic, not aspirational.

The average knowledge worker costs €60-100k/year fully loaded. Most are operating at a fraction of their AI-leveraged potential — not because they lack tools, but because the operating environment wasn't designed for AI to compound.

A conservative 3x productivity gain across a 10-person team means the same team produces the output of 30. That's €600k-1M in additional capacity — without changing headcount.

This is delivered through the ONION framework — a layered model that ensures every AI interaction, from code generation to architectural decisions, stays connected to your system design and business reality. Teams consistently reach 3-5x their previous output within weeks. In the right conditions, we've seen that go as high as 20x.

25+companies transformed
450+professionals trained
3–5xoutput within weeks
DATA PRIVACY & COMPLIANCE

Your data stays yours. We teach your team how to keep it that way.

Every methodology and workflow we introduce is designed to operate within your existing security and compliance requirements. The ONION framework works with enterprise-grade AI providers that offer zero data retention, GDPR-compliant processing, and full data ownership.

No proprietary information leaves your controlled environment. We advise on configuration, not infrastructure — your stack, your rules, your data.

Zero Data Retention
GDPR-Compliant
Full Data Ownership
ABOUT

Built by someone who operates what he teaches.

David Noguerol has spent 15+ years building and operating software companies. He co-founded his first startup at 23, scaling it across multiple European countries. Today he runs FlowOS, an AI-driven platform for employee advocacy and content systems, and serves as CTO of Flint — one of Brazil's largest influencer and community management platforms, responsible for the creator education programs of Google, Meta, LinkedIn, and OpenAI.

Operating across all of these simultaneously is only possible through the same AI-first systems and methodology he teaches others to build. His work is grounded in real delivery pressure, not theory — he builds the same systems he teaches others to build.

This isn't advice from someone who studies AI transformation. It's from someone who runs multiple companies through it, every day.

David Noguerol

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No pitch deck. No discovery questionnaire. Just a direct conversation about where your team is, what's not compounding, and whether this engagement makes sense for your context.

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david@ocode.ai · +44 7450 787260