Taltrics uses AI-driven capacity and matching models to allocate talent across projects and tasks. It leverages data about skills, domain knowledge, capacity, and career growth opportunities to recommend the best fit for each project. The recommendations are shown in a user-friendly interface and explained in detail.

Project Match-Maker is a core AI model of Taltrics that matches employees to projects. It considers skills, experiences, capacity, and career growth opportunities to recommend the best fit. The top three best-fit recommendations are shown on the top right corner for easy switching and selection.

Taltrics supports the prioritization and scheduling of tasks. It offers a unified monthly view of tasks and projects in the roadmap, along with AI-driven metrics to monitor progress and reschedule as needed. The monthly schedule of tasks, called 'Product Mix Recommendations', optimizes for employee capacity, non-human resource capacity, business needs, progress, revenue, and other parameters.

Capacity Planning & Scenario Planning module enables leaders to plan for the coming quarters and months. They can enter their expected volume of work or use AI forecasts to see the impact on their team's capacity and identify bottlenecks in advance. They can also build different scenarios of activity and simulate their decisions with AI-driven recommendations.

If you still have questions about resource management, Taltrics platform features, or user support, please reach out to us at hello@taltrics.com