What AI services does AroundAI offer?
AroundAI specializes in four core areas: AI consulting and strategy, custom AI agent development, intelligent chatbot solutions, and enterprise AI automation systems. We help mid-market companies deploy production-ready AI solutions that reduce operational costs by 40-70% within 90 days. Our team has successfully deployed 50+ AI systems across various industries.
How long does it take to implement an AI solution?
Our typical AI implementation timeline is 6-12 weeks for MVP deployment, followed by continuous optimization. We follow a phased approach: Week 1-2 (Discovery & Planning), Week 3-6 (Development & Integration), Week 7-8 (Testing & Training), Week 9-12 (Deployment & Monitoring). Most clients see measurable ROI within 90 days of deployment.
What is the average cost reduction from implementing AI?
Our clients typically achieve 40-70% cost reduction in targeted operational areas. For example: customer support automation saves 50-60% on support costs, document processing automation reduces manual processing time by 65%, and intelligent workflow automation can eliminate 40-50% of repetitive tasks. We provide detailed ROI projections during the discovery phase.
Do you work with companies outside of Barcelona?
Yes, while our studio is based in Barcelona, we serve clients across Europe, the United States, and globally. We offer remote collaboration with on-site visits when needed. Our clients benefit from our Barcelona location through GDPR compliance expertise, European data privacy standards, and access to top AI talent in the region.
Are your AI solutions GDPR compliant?
Absolutely. All AroundAI solutions are built with GDPR compliance from the ground up. We implement data minimization, purpose limitation, storage limitation, and user consent mechanisms. Our Barcelona base gives us deep expertise in EU data protection regulations. We provide full documentation for compliance audits and work with your legal team to ensure all requirements are met.
What industries do you specialize in?
We specialize in mid-market companies across professional services, healthcare operations, financial services, e-commerce, manufacturing, and SaaS businesses. Our AI solutions are particularly effective for businesses with high-volume repetitive tasks, customer support operations, document-heavy workflows, or complex decision-making processes that can benefit from intelligent automation.
How do AI agents differ from chatbots?
AI agents are autonomous systems that can perform complex tasks, make decisions, and take actions across multiple systems, while chatbots primarily handle conversations. For example: a chatbot answers customer questions, but an AI agent can understand a request, pull data from multiple systems, make decisions based on business rules, and execute actions like processing orders or scheduling appointments—all autonomously.
What kind of support do you offer after deployment?
We provide comprehensive post-deployment support including: 24/7 monitoring and incident response, continuous model optimization and retraining, monthly performance reviews and reporting, feature enhancements and updates, dedicated technical support team, and knowledge transfer to your team. Most clients choose our ongoing optimization package to ensure continuous improvement and maximum ROI.
Do I need technical expertise to use your AI solutions?
No technical expertise required. We design all AI solutions with end-users in mind, providing intuitive interfaces and comprehensive training. Our implementation includes: user training sessions, detailed documentation, video tutorials, ongoing support, and a dedicated point of contact. Your team can start using the AI system effectively within days of deployment.
How do you ensure AI reliability and accuracy?
We implement multiple quality assurance measures: rigorous testing with real-world scenarios, continuous monitoring and alerting systems, human-in-the-loop validation for critical decisions, fallback mechanisms for edge cases, regular model retraining with new data, and comprehensive error logging. We typically achieve 95%+ accuracy in production environments and continuously optimize based on real-world performance data.