What makes it different is that it is enhanced by OPEN OS and open innovation: employees, partners, and experts collectively shape how the AI works, what it knows, and how it evolves. This combination turns AI from a generic tool into a living collaborative system.
Core use cases include:
Sales
• Faster generation of proposals and offers
• Faster, clearer client requests
• Automated data analysis and reporting
• Discovery and definition of sales opportunities
Marketing
• On-brand content generation
• Automated data analysis and reporting
• Identification and structuring of market opportunities
Training
• Partial automation of training modules
• Instant answers to recurring questions
• Continuous learning from real company cases
Product design & innovation
• Analysis of internal and external data
• Automated reports and insights
• Identification, framing, and validation of innovation opportunities
Customer support
• AI-based answers to customer questions
• Guided customer journeys
• Reduced load on support teams
Knowledge base
• Structured and continuously updated knowledge management
• Fast, easy access to all company knowledge
• One shared source of knowledge and AI
All uses cases will engage sales, marketing, and other internal teams and employees, and also partners, collaborators, distributors, clients, and other external experts in designing general and local rules. Local rules especially are important for sales, marketing, training because they capture local know-how for specific markets, cultures, countries, and projects.
OPEN OS FOR AI scales intelligence by connecting everyone.
To use OPEN OS FOR AI in your company more email Andrea at andrea@openinnovation.me.
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