AI Use Cases that Work
Theory is good, but what truly matters is what gets implemented.
The ada Future Lab has already completed over 150 successful projects and demonstrates that AI works when it directly addresses real pain points.
From concept to concrete solution: Successful AI implementations at the ada Future Lab
Theory is good, but what actually gets implemented is what matters. Over 150 successful projects have already been realized at the ada Future Lab, the innovation lab. It shows that AI works when it tackles real problems directly and delivers concrete, measurable results.
Sales
An AI-powered data assistant automatically fills in missing CRM data and minimizes errors. This reduces sales cycle times and makes forecasts more accurate, accelerating the sales process and reducing effort for the team.
Knowledge Management
An AI assistant provides on-demand company-specific knowledge by automatically pulling from data sources and preparing it for use. This speeds up decision-making and boosts productivity by making knowledge discovery more efficient.
Leadership
An AI-powered platform provides personalized feedback and optimization suggestions for executives. The AI analyzes processes and helps improve leadership skills and team dynamics, which strengthens employee retention.
Production & Maintenance
AI-powered maintenance predictions minimize downtime by accurately forecasting maintenance needs. This reduces idle time and maintenance costs by focusing on targeted actions.
Logistics & Supply Chain
An AI model optimizes utilization and detects discrepancies in real-time, automatically suggesting actions to improve efficiency and shorten delivery times. This makes the entire supply chain process faster and more cost-effective.
