FOR R&D AND PRODUCT DEVELOPMENT LEADERS

Turn AI into an advantage for your team.Not another tab gathering dust.

I analyze how your team works, identify where AI can remove friction and design an integration that keeps decisions in the hands of the people who understand the product.

SEE HOW IT WORKS

AI SUGGESTS

YOUR TEAM DECIDESSYS / HUMAN-IN-THE-LOOP

THE REAL RISK

Your competitors will not pull ahead because they have access to AI.They will pull ahead if they learn to integrate it first.

Buying licenses is easy. Turning them into a faster, more reliable way of working that your team actually accepts means understanding the process before touching the technology.

WHAT CHANGES

A department that learns faster without thinking less.

Less busywork

More time to decide

Better knowledge sharing

Greater team confidence

This is not automation for automation's sake. It is about recovering the hours lost to searching, copying, reformatting and rebuilding context — and giving them back to engineering.

THE METHOD

I do not start with ChatGPT.

I start with Tuesday at 10:17.

That exact moment when someone searches for the same report again, rebuilds a table or waits for an answer that already exists somewhere. That is where useful integration begins.

Observe the real work

We trace the path of a decision: what information comes in, who transforms it, where it gets stuck and which parts demand technical judgment.

Choose where AI belongs

We rank opportunities by impact, frequency and risk. The tool comes after we understand the problem, not before.

Test with clear guardrails

We design a focused workflow or prototype, with defined sources, human review and a concrete way to test whether it improves the work.

Integrate without breaking the team

We document the new process and bring the team with us, so AI amplifies their expertise without becoming a black box.

THE SPRINT

From instinct to a system your team can actually use.

01 REAL WORKFLOW

02 OPPORTUNITIES

03 PROTOTYPE

04 ADOPTION

BETTER DECISIONS
LESS FRICTION

You leave with a process map, ranked opportunities, a first tested workflow and clear criteria for extending it. Not a demo that dazzles on Friday and nobody opens on Monday.

The goal is for your team to understand what changes, why it changes and where their judgment remains indispensable.

WHO IS ON THE OTHER SIDE

Engineering first. AI second.

I am Miguel Martínez. I have spent 15 years developing and validating products, mostly plastic components, and more than seven specializing in structural simulation.

Since 2024, I have been integrating AI into technical workflows: knowledge retrieval, documentation, reporting, model selection and problem-solving. Not from the theory of someone who has just discovered a hammer, but from the work of someone who knows what not to hit.

15 YEARS IN PRODUCT DEVELOPMENT7+ YEARS IN SIMULATION2024 AI APPLIED AT WORK

FIT

This is for your team if…

You want to move forward, but not at the expense of reliability.

Repeated tasks and scattered knowledge are slowing down decisions.

You need to start with a useful, measurable use case that you can defend internally.

NOT FOR YOU IF

You want to delegate engineering decisions to a chatbot.

You want to buy a tool and call it transformation.

THE FIRST STEP

Pick one workflow that steals time from your team.

We review it through one simple question: what can AI improve without making the decision worse?

AVAILABLE THROUGH UPWORK