Making intelligent planning accessible

PND Labs develops AI-based systems that make organizations' operational planning and decision-making processes more consistent, predictable, and efficient. We offer decision support products that work across different operational layers, from workforce planning to production scheduling.

Both products focus on different operational needs but share the same decision and planning approach. Rutinly WFM focuses on workforce and field planning, while Rutinly APS focuses on capacity and production planning; they can be used together or independently.

No. PND Labs products don't replace existing enterprise systems; instead, they use the data these systems produce to create a better planning and decision-making layer.

Our products have a standard core architecture but are configured with operational constraints and business rules specific to each organization. The goal is not to make completely custom developments; it's to build a sustainable system that adapts to the organization.

Manual planning proceeds through limited scenarios and quickly becomes outdated. PND Labs systems simultaneously evaluate multiple constraints, generate alternative scenarios, and quickly adapt to changing conditions.

No. The systems are designed for decision-makers and operations teams; complex technical details stay in the background. Users work through understandable interfaces and clear outputs.

Our approach progresses gradually. First, existing data and processes are analyzed, then the system is deployed in a pilot scope and expanded step by step. This way, operations are not disrupted.

Yes. Thanks to our AI support, the plans and recommendations produced are explainable based on the constraints and priorities used. The logic behind decisions is transparent and auditable.

Yes. Our solutions are designed to produce consistent results even under increasing workforce, capacity, and operational complexity. Scalability is one of our core design principles.

PND Labs focuses on building a permanent decision infrastructure rather than offering single plans or reports. Our approach is to produce systems that work in the field, are auditable, and improve over time.