Applied AI for companies · Grupo LETS
Turn AI opportunities into measurable improvements in real business processes.
We help you identify where AI can create value, test it in a real workflow and implement what works — without forcing you to buy a specific platform.
Trusted by
Who it is for
Two ways to start.
For your SME
Applied AI without a technical team or licenses to buy. We identify where it helps, implement it with your people, and the knowledge stays in your company.
AI for SMEs →For your innovation team
Agents that do, in hours, the work that today takes weeks: radar, scouting, dealflow filtering and business case. Without replacing your team’s judgment.
AI for innovation teams →The problem
The hard part is not adopting AI. It is making it deliver real impact.
Tools multiply and time does not. Most companies use AI superficially: without clear judgment to choose among hundreds of options and without connecting it to the way they work.
of Spanish organizations already invest in integrating AI agents into their systems.
KPMG Global Tech Report, 2026
of EU enterprises with 10 or more employees already use AI in their business.
Eurostat, 2025
of organizations report measurable gains in productivity and decision quality by combining people and AI.
Capgemini Research Institute, 2026
Where AI creates value
The problems AI solves in your company.
How we work
From operational friction to an implementable opportunity.
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01 / 06
Operational assessment
We map processes, repetitive tasks, information sources and decisions that currently consume excessive time or depend on fragmented knowledge.
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02 / 06
Opportunity mapping
We translate the friction we found into specific opportunities for AI, automation, data, digital tools or process redesign.
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03 / 06
Prioritization
We compare opportunities by potential impact, cost, feasibility, risk, implementation time and employee adoption.
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04 / 06
Technology scouting
We identify and assess platforms, providers, startups and internal development according to your company’s actual needs and limitations.
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05 / 06
Business case
We define expected benefits, costs, risks, responsibilities, success metrics and the evidence required to make the investment decision.
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06 / 06
Pilot and roadmap
We design a controlled pilot and a practical roadmap for integrating the solution into your processes, systems and teams.
Where we work Industrial and B2B companies with complex operations: manufacturing, construction, logistics, energy, water and B2B services. See the six industries →
The system
Agents that do, in hours, the work that today takes weeks.
Your context goes in
Four agents in parallel
One decision comes out
- Your industry, your competitors and your regulation
- Your dealflow, your suppliers and your market
- Your decision criteria and your context
- 01
Trends and opportunities radar
Continuous signal on technologies, competitors, patents, scientific literature, regulation and investment trends.
- 02
Solution scouting
Established suppliers, startups and cross-industry solutions.
- 03
Dealflow filtering
Your startup flow against the essential criteria of your business.
- 04
Business Case
Every opportunity turned into a defensible case: cost, impact and evidence.
A decision that holds up in committee
With the reasoning behind every option and every rejection, traceable to the source.
This is not an off-the-shelf tool. We adapt each agent to the way your team works.
Meet the agents →Who we work with
From large corporations to SMEs.
We have worked hand in hand with the innovation teams of large industrial corporations. Today we bring that same rigor to SMEs.
Leading companies that have trusted us.
Case · Arbegui
From 2 hours to minutes per permit.
AI automation of special transport permit processing. Fewer errors, better communication between teams and the knowledge stays inside.
See the cases →Industries
We understand complex operations.
We work best with companies that have complex processes, fragmented information and important operational decisions.
Sector by sector →
Frequently asked questions
What we get asked before starting.
Do we need a defined use case to start?
No. We can start from a problem, a process or a business area where the company is losing time, margin or control. Part of our job is to translate that into specific opportunities.
Do you sell AI tools, or are you tied to a platform?
No. We do not start from a platform we need to sell: we assess the options against your company’s needs, systems and objectives.
Do you only work with artificial intelligence?
No. The right solution may be AI, automation, analytics, data integration, process redesign or software you already have. The priority is solving the business problem correctly.
Do you only work with large companies?
No. We work with both SMEs and large corporations. The scope adapts to each company’s resources, budget and decision-making speed.
Do we need an internal AI team?
No. We bring the technical layer, train your team and support adoption. Your people decide; AI accelerates.
Do we have to change our current software?
Usually not. We work with your current systems and their constraints. We only recommend changes when the evidence justifies them.
What do we receive at the end of an assessment?
A structured view of the main operational issues, prioritized opportunities, an initial assessment of value and feasibility, and a clear recommendation on next steps.
How long does a pilot take?
It depends on the scope, but we talk weeks, not months. It is designed to produce measurable results early so you can decide with data whether to scale.
How do you measure success?
With metrics defined from day one: time, cost, errors, capacity. Every pilot is designed to support a business decision, not to demo a technology.
How is company data protected?
Contractual confidentiality, responsible AI use and data always under your control. We assess the privacy implications of every solution before recommending it.
What will our company own at the end?
The use cases, the mapped processes, the documentation and the learning. Even if the AI model changes, the knowledge is yours.
How do you prevent a pilot from becoming another experiment?
By defining the problem, objectives, metrics, owners and decision criteria from the start. A pilot with no path to production does not get launched.
What if AI is not the right solution?
We tell you. Our recommendation does not depend on selling a platform; if the problem is better solved another way, that is what we will propose.
Do you help with training and AI governance?
Yes. We train teams in responsible AI use and help establish governance, adoption and measurement criteria.