What it includes
- Analysis of processes, waste, repetitive tasks and points of friction
- AI strategy for business: data, risk, governance and the European AI Act
- AI integration into workflows, CRM, APIs, documents, email and business systems
- AI chatbots and virtual assistants for leads, support and knowledge bases
- AI automations with inputs, outputs, logs, human review and quality control
- Choosing between local AI, frontier online models or hybrid architectures
- Measuring time saved, errors reduced, requests handled and KPI performance
