Frequently asked questions

With a conversation about your business: where work gets stuck, what tools you use and what you want to achieve. From there, we define a starting point with a clear scope and goals.

Yes. We connect assessment, design, development and training. We support the launch and evolution of the solution with the team that will use it.

First we look at what you already use. The proposal aims to integrate AI into your processes and systems; any change is weighed on its usefulness and feasibility.

We agree on metrics before we start: time per task, quality, errors, operational capacity and real usage. We compare the starting point with the results of the process.

A few weeks. We prioritise cases with quick impact and combine strategy, development and training from the start to deliver tangible results.

No. We take care of the technical side and train your team so it can work with the solutions on its own.

We sign a non-disclosure agreement (NDA) before any assessment and define data access and processing requirements before building. Data never leaves your infrastructure without explicit agreement.

If you have manual processes or decisions that require analysing information, there is a clear opportunity. In the assessment we look together at which processes to redesign, what to build and what your team needs to learn.

We don't stop at strategy. We define what to do, build it and support the team in adopting it.

We don't stop at the report. We join your team, redesign the process, put it to work and train the people until they no longer need us.

We have worked with more than 10 different industries: retail, logistics, insurance, training, manufacturing and healthcare, among others. But processes matter more than the sector. We've probably already worked on something very similar to your case.

We sign non-disclosure agreements (NDAs) before any assessment. Data never leaves your infrastructure without explicit agreement.

Yes. In-house training is part of the adoption process. We don't want you to depend on us: the goal is for your team to know how to use and maintain the solutions.

An actionable roadmap with clear priorities: which processes to redesign, what to build and what capabilities your team needs.

We prioritise from the start. We only work on cases with real impact that are feasible in your context.

Yes. It's based on your real processes. The team doesn't just learn tools, it learns to work better with them.

Yes. We have worked across more than 10 different sectors, which lets us adapt quickly. We've most likely already seen problems very similar to yours.

We work directly on their day-to-day. When they see the impact on their work, adoption comes naturally.

We work with success metrics defined at the start of the project. If the solutions don't reach the agreed KPIs, we iterate until they do at no extra cost.

With measurable impact. Not only in efficiency, but in the ability to scale and improve results.

Repetitive tasks such as emails, reporting or updating systems, but also parts of the analysis. We also build systems that help the team work with more context and less effort.

Not always. In the assessment phase we evaluate what data you have available and design the strategy around it. In many cases it's possible to start with limited data.

We work with medium-sized and large companies that already have established processes and want to strengthen them with AI. The recommended minimum is a team of 20 people.

We use the best models available at any given time, including open source and proprietary models when the case calls for it. We are technology-agnostic: we choose what works best for each process.

Yes. We design solutions to integrate with your tech stack: ERPs, CRMs, databases, internal APIs and communication tools.

A significant reduction in operational workload, but also teams with greater capacity to deliver and better access to information.

We design controlled, traceable systems. There is always visibility and the ability to step in.

It depends on the project. We aim for quick impact from the start.

A complete system that automates processes and adds intelligence to the workflow, helping the team make better decisions.

Here we combine multiple processes, business logic and analytical capability. It doesn't just execute, it also helps decide.

When the problem affects several areas or limits your team's ability to scale.

Yes. We start from your real process and redesign it with you, not the other way round.

Yes, when it lets you do more with the same team, make better decisions and improve results.

Because we saw that, applied well, AI doesn't just optimise processes, it multiplies what people can do.

We bring the latest in AI and make it work on today's challenges, inside your team. When we finish, your people know how to do it without us.

Hands-on, fitting into the way they work and helping them evolve it.

Both. We understand the business and deliver the technology.

With a first conversation to understand your context. From there, we identify where there is real impact and propose a concrete starting point.

Projects without a focus on real impact, or where AI is used just because it's trendy.