Artificial Intelligence applied to business
I design and take to production generative, conversational and voice AI solutions that solve real customer and operational problems.
Conversational agents and voicebots
Chat and voice assistants that understand customer intent, query business systems and resolve requests end to end.
Natural real-time voice, detection of contact reasons and handover to a human agent with full context whenever needed.
Agentic AI and automation
Agents that reason, plan and execute tasks across tools and APIs: appointment management, enquiries, sign-ups, incidents or case processing. Multi-agent orchestration for complex processes, with human oversight and traceability.
Integration with CRM, ERP, telephony and digital channels (web, WhatsApp, voice) so the AI works with real data rather than generic answers.
"The best AI is the one that resolves"
RAG and enterprise knowledge
Assistants that answer using the organization’s own documentation and data, citing sources and respecting permissions.
RAG architectures on Gemini, Azure OpenAI, Claude or Llama, chosen for cost, latency and privacy, with continuous quality evaluation, prompt engineering and fine-tuning when it adds value.
Responsible and measurable AI
Every project is designed with business metrics from day one: resolution rate, handling times, operational efficiency and customer satisfaction.
Privacy, security and regulatory compliance (GDPR and the EU AI Act) are part of the design from the very first day, not an add-on.
Do you have a use case in mind?
Drop me a line and we’ll look at it together, or find more ideas on the blog, where I publish AI analysis and news every week.