Novartis operates in a highly regulated pharmaceutical environment (GMP), with multiple interdependent roles, complex constraints, and a critical need for operational consistency and planning fairness. Traditionally, planning depended on human interpretation, with a heavy manual validation burden and structural risk when scaling. The Excel-based model did not allow complete scenario simulation or guarantee global consistency across the production organisation.
PLANNAM did not deploy a planner, but an operational decision-making system. A model that encodes the real logic of the organisation – constraints, priorities, sequences, and dependencies – in a structured, auditable, and reproducible architecture. This system:
- Integrates operational memory, not just a calendar
- Models real work sequences
- Separates HARD constraints from SOFT behaviour
- Generates consistent outcomes without depending on experts
- It is not an optimiser: it is an architecture that turns rules into executable decisions.
Novartis has moved from manual planning to a model capable of simulating and validating the entire annual operation before execution. The system enables coherent, traceable, and explainable planning – critical in pharma environments – reducing dependency on experts, minimising iterations, and improving the perception of fairness across teams.
Today, the organisation has a structural foundation that:
- Guarantees operational consistency cycle after cycle
- Allows scenarios to be simulated before decisions are made
- Scales to new plants, roles, and contexts
The outcome is not better planning. It is a shift in how operational decisions are made.
