Ground AI in one real case from your SME.
For SMEs that know AI matters, but are not sure where to start, what to avoid, or which process to validate first. A studio born in Malaga and built for the AI era.
How we work
How Auretti Studio works for SMEs
Strategy and execution work together: the AI Map prioritizes where to act; the First AI Case brings it into real use. Auretti guides the team, and each learning sharpens the next decision.
First AI case in use
The studio where your team turns AI use cases into real solutions.
Your team learns the foundations that matter for using AI productively: product thinking, data, architecture, review of AI-generated work, and reliability criteria. The goal is to build a useful, maintainable first version that can create real value for the SME.
Each week includes feedback from the Auretti AI mentor, inspired by the founder’s experience and principles.
Week 1
Learn the foundations and choose the case
What you do
Learn the foundations for using AI productively: product thinking, data, architecture, AI limits, and criteria for choosing a viable case.
Outcome
Prioritized use case, clear scope, and main risks identified.
Week 2
Build the first useful version
What you do
Turn the chosen process into a first working version, using AI to move product, design, data, and implementation forward with judgment.
Outcome
A usable version the team can test with a real workflow, not just a presentation.
Week 3
Make it reliable and maintainable
What you do
Review AI-generated work, improve structure, data, permissions, errors, response quality, and integration points.
Outcome
A more reliable, understandable, and maintainable product with clear limits and less dependence on improvised fixes.
Week 4
Put it in production and measure value
What you do
Deploy a controlled first version so the SME can use it in one concrete process and measure initial results.
Outcome
Product in use with real ROI signals: time saved, less manual work, better follow-up, or operational improvement.
Auretti Studio
Founded by Danny Ferrin
- Electrical engineer with advanced training in finance (CFA).
- 15 years in software, product, and architecture.
- 10 years in institutional investment.
- Current experience building applied AI for companies.