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AI consulting · SpainArtificial intelligence is one of Aurora Global Group's two specialties, alongside digital marketing. Our AI division diagnoses where artificial intelligence genuinely moves your business, deploys the system (process automation, AI agents, data analysis), and measures it against business results. In any department, not just marketing.
Your company doesn't need more tools or more prompts: it needs systems that run on their own inside your processes. That's the difference between "using ChatGPT" and having artificial intelligence producing results every day, without anyone having to remember to use it.
Worth saying up front: if your data or your processes aren't ready for AI, the first step isn't deploying AI, it's putting them in order. If that's your case, we'll tell you in the diagnosis, along with the plan to get there.
Artificial intelligence for businesses doesn't live in marketing alone. These are examples of use cases we deploy, area by area. And if your case isn't in the table, that's covered too: we deploy AI wherever there's a process that needs it.
| Department | AI use case |
|---|---|
| Marketing | Content, SEO, and campaigns assisted by AI, with expert review |
| Sales | Instant response to leads, automatic qualification, and sales follow-up |
| Customer service | Agents that resolve repetitive inquiries and escalate the important ones |
| Finance | Reconciliation, invoice processing, and cash-flow forecasting |
| Executive management | Dashboards with your KPIs and automatic executive summaries |
| Logistics | Demand forecasting and document automation for orders |
| Operations | Internal workflows without manually moving information between programs |
Every AI project starts with its business indicators defined and stays only if it meets them. The criterion is that simple.
An AI agency identifies where artificial intelligence can improve a company's results, designs and deploys those systems (process automation, AI agents, data analysis), and measures their impact on the business. Unlike a software vendor, it doesn't sell a tool: it delivers a system running inside your processes, with defined business indicators.
No. The best-returning cases we see are in small and midsize businesses: answering every lead instantly, automating appointment scheduling, preparing quotes, or summarizing documentation. AI for small businesses isn't about large platforms; it's about removing hours of repetitive work every week.
It depends on the scope: a customer-service agent doesn't cost the same as automating a full operations process. That's why we always start with the diagnosis, which prioritizes use cases by impact and effort, and from it you receive a quote itemized by project. No lock-in.
Every system is designed in compliance with GDPR and the EU Artificial Intelligence Act: what data is used, where it's processed, and who accesses it is documented before anything is deployed. When a use case requires that data never leave your infrastructure, the architecture is chosen accordingly.
We deploy AI to remove repetitive tasks, not people: answering the same thing a hundred times, copying data between programs, preparing reports. The goal is for your team to spend its time on what creates value, and every project includes training so people know how to work with the systems, not against them.
With the opportunity diagnosis: processes, data, and goals, prioritized by impact. Then a bounded pilot with its indicators defined, and only what proves out gets scaled. The first consultation is 25 minutes, free: tell us about your case.
A first 25-minute consultation, free. You leave knowing which use cases have legs in your business, and which don't.