In-House AI Development Leadership: we build and lead your AI department
With In-House AI Development Leadership, Robust Data Solutions builds the artificial intelligence department inside your company and leads it, like a fractional Chief AI Officer with a team behind them. What gets built is yours.
For mid-sized and large corporations that want to build their artificial intelligence capability in-house, with Robust’s technical leadership.
Why an in-house AI department
Beyond a certain size, AI is built in-house
In a small or medium-sized business, the sensible thing is for us to build it for you, turnkey. In a corporation, the honest advice is different: artificial intelligence capability has to be built inside the company, with your people and on your systems.
The capability stays in-house
What gets built, and what is learned while building it, stays in your company.
Audited continuously, not in one go
A corporation isn’t audited all at once. It’s audited continuously, process by process and department by department.
Outsourced or in-house AI department?
Three ways to have an AI department
A corporation can outsource its AI department, hire a Chief AI Officer to set it up, or build it in-house under our leadership. Here’s how they compare:
| In-house, led by Robust | Outsourced AI department | Hiring a Chief AI Officer |
|---|---|---|
| Who owns the know-how | ||
| Your company: it stays in-house. | Largely the provider. | That person, for as long as they stay. |
| Who leads | ||
| We do, in agreement with your management. | The provider. | A single person. |
| Time to get started | ||
| As long as it takes to bring the person on board: the method and the leadership already exist. | Short: the team already exists. | As long as it takes to find them; then they build the team and the method. |
| What’s left at the end | ||
| Your own department, with its method and everything that was built. | Whatever the provider hands over. | Whatever that person has documented. |
How we build your AI department
Your team, our leadership
1. We select the person
We search for and assess the profile you need: a professional ready to work with artificial intelligence. If someone on your technical team already has that profile, we assess them too.
2. Your company hires them
The person joins your staff and works for your company, in-house.
3. A lean team, well directed
You don’t need an army. The team doesn’t build from scratch: it shapes the systems you already have (ERP, CRM, applications) and connects them to artificial intelligence.
4. The technical direction is ours
We set the technical direction, always agreed with your company’s management. We review, correct and guide the work, and that gives peace of mind: every step is reviewed by experienced people.
5. Continuous audit, department by department
We start with the departments with the highest return and keep delivering solutions that give hours back to the people in each one, with a shared roadmap toward a single intelligent screen for the whole company.
6. What gets built is yours
The intellectual property of everything that gets built belongs to your company. We transfer the know-how to you: the method, the review and the judgment.
Like a fractional Chief AI Officer, with a team behind them
Seniors lead
We lead; the team delivers: experienced artificial intelligence developers, with a team sized to each project. And because we work with AI-assisted development, each developer gets far more done than in a traditional team.
Robust’s partners are the seniors, which is where the value lies. Our founder has more than 40 years of experience in business technology: management software, systems, networks and security.
Human in the Loop: AI proposes, a person decides
Our AI works with your data and never decides on its own: it proposes, and a person always makes the final decision. No sensitive action—money, contracts, customer data—is carried out without confirmation. With guardrails: permissions per person and a log of every operation.
The law comes first: GDPR and the EU AI Act
Every project goes through a regulatory compliance review (data protection and the EU AI Act) with our partner Forrellat Consultors, a Data Protection Officer registered with the Spanish Data Protection Agency (AEPD).
Frequently Asked Questions
What corporations usually ask us
What’s the difference between an outsourced AI department and an in-house one led by Robust Data Solutions?
With an outsourced department, the work and much of the know-how stay with the provider. With In-House AI Development Leadership, the department sits inside your company, with your people and on your systems, and we lead it: we set the technical direction, review and correct the work, and transfer the method to you. What gets built is yours.
Does it replace a Chief AI Officer?
It covers the technical leadership a Chief AI Officer would provide—roadmap, method, review and judgment—but with a senior team behind it instead of a single person, and always in agreement with your company’s management.
Who owns what gets built?
Your company. The person we select joins your staff, and the intellectual property of everything that gets built is yours. We transfer the know-how to you: the method, the review and the judgment.
How is the EU AI Act handled in an in-house department?
With the law first, by design. Every project goes through a regulatory compliance review—data protection and the EU AI Act—with our partner Forrellat Consultors, a Data Protection Officer registered with the Spanish Data Protection Agency (AEPD). And the department works with guardrails: permissions per person, a log of every operation and a person who decides.
Which companies is it for, and how many people does it take?
For mid-sized and large corporations. You don’t need a big team: the department starts with one professional trained to work with artificial intelligence, well led, because they don’t build from scratch: they shape the systems your company already has and connect them to AI. For a small or mid-sized business, it makes more sense for us to set it up for you, turnkey.
Last reviewed: September 30, 2026
Tell us how your company works
How it’s organized, which systems you use and which department you’d start with. We’ll study it with you.