Optimize your business with AI, starting with what you already have

What we solve

Everyday problems, not technology projects

Here are some of the problems we solve in each area.

Sales

A team that sells instead of typing

Quotes in minutesNo more copying prices from one file to another.
A CRM that actually gets usedCustomer follow-up without chasing anyone.
Customer questions answered on the spotOrder status, prices, and stock, with AI and a person behind it.
A sales report that builds itselfEvery Monday, with nobody preparing it.

Operations

An operation you can see without asking around

Inventory that matchesWhat the system says is what's in the warehouse.
Orders from every channel in one placeOnline store, marketplaces, and wholesale.
Issues handled on timeWithout getting lost in WhatsApp.
Production and deliveries up to dateWhat shipped, what slipped, and why, without waiting for month-end.

Finance, HR, and purchasing

A month-end close that doesn't depend on one person

Invoices and reconciliations without data entryThe system does the repetitive part.
Purchases with approval and a trailWho ordered what, from whom, at what price.
Hires, exits, and time off without paperworkOne flow from contract to payroll, with nothing typed twice.
Vendors and costs in plain sightIncluding what you already spend on AI.

And if your company builds software

Ship more features, faster, without losing control

How we work with software companies →

From design to codeAn AI-assisted flow that produces user stories, code, and automated tests, without losing control of what ships.
User support as part of the productAI agents with people behind them, user guides, and signals of what works and what doesn't, before launch.
Cost, security, and product healthInfrastructure sized to what's actually used, security reviewed before speeding up, and alerts before the complaint arrives.

Self-assessment · 5 minutes

How ready is your company for AI?

Ten questions about how your company works today: process, data, systems, team, and AI. At the end you see your level, what's holding you back, and three concrete next steps. No sign-up.

1Manual

2Organized

3Connected

4Automated

5Accelerated

Take the self-assessment

How we work

First we organize, then we automate

AI projects don't fail because of AI. They fail because nobody fixed the process underneath. That's why the order is always the same.

01A conversation

With the person who will do the work, not a salesperson. You tell us what eats your team's time, with no talk of tools yet.

02A fixed proposal

What gets delivered, what it costs, when it's ready, and how you'll measure whether it was worth it.

03Built with your team

With what you already have whenever possible. Anything sensitive is reviewed before it goes live.

04It keeps running

Documented, with an owner inside your company, so you don't depend on TuOpinas.

What we usually do

Almost always one of these three, and we almost always start with the first.

Organize a process

Write down how it's done today, cut what's unnecessary, and move its numbers out of Excel so they come from the system.

Connect or build

Integrate the systems you already pay for, set up a new one, or build what the market doesn't offer, with AI where it saves time.

Lead the technology

For companies without someone in charge of technology: priorities, vendors, budget, and making sure what's delivered actually works.

No hourly rates and no savings promised up front: one price per outcome, agreed in writing. And we can always start with a short first phase, to see results before committing further.

Build fast on solid foundations

The TuOpinas method: three rules behind every project, and the data behind them.

Organize before you accelerate

AI amplifies what's already there: a clear process gets better, a messy one gets messier faster. That's why the first step is never the tool.

22%

Only 22 in 100 organizations have managed to scale AI across several areas of the business.

Gartner · 1,303 organizations · Sep 2026

Start with what you have

First what you already pay for, then what's on the market, and custom-built only for what doesn't exist. That's what keeps projects to weeks. And AI spend gets measured like any other expense, with someone in charge and a cap: until it's measured, the rest is opinion.

7%

Only 7 in 100 executives have managed to put a number on their AI's return. Those who know what it costs them do it five times more often.

KPMG · Global AI Pulse Q2 2026 · 2,145 leaders · Jun 2026

Accelerate with control

Your team builds; we lay the foundations. Today anyone who knows the business can build with AI, and they will, with or without permission: that gets protected, not banned. The rule is one risk line, at three levels.

Yours. What only you use and touches no customer data: just build it.

Shared. What more people use or reads operational data: registered, with someone in charge.

Critical. What touches customer data or writes to the main system: reviewed before it goes live.

Who lays the foundations

Twenty-five years turning how a company operates into systems that work

Juanjo Jiménez-Alfaro, founder. Previously senior manager at Accenture, co-founder and CEO of an HR software company, and COO of a group of AI software products.

What AI changed is the price: what used to take a team and six months now fits in weeks.

25 years

of consulting and operations, in Mexico, Spain, Chile, Brazil, and South Africa.

20,000

employees managed with the HR software he co-founded.

5,000

field employees moved from spreadsheets to a single portal.

Telecommunications engineer, Universidad Politécnica de Madrid. D-1, IPADE Business School. Spanish and English.

Full track record on LinkedIn →

Optimize your business with AI, starting with what you already have.