A goal is a clear statement of what you’re trying to achieve. It names the desired result, the direction of change and often the time horizon and success criteria. In Decidr, goals can be numeric or qualitative, but they’re always linked to metrics and context so progress can be tracked and adapted as circumstances change.

Goals are the centre of gravity in Decidr. Everything, from agents, apps, flows and decisions, connects back to them. We built the platform around the belief that clarity about outcomes is what unlocks leverage in complex work. Without defined goals, AI either automates noise or acts on vague assumptions.

When you define a goal in Decidr, it’s not just a headline — it’s a structured object with result ranges, related metrics and decision weights. This gives your AI org a precise definition of success and room to adapt. For example, instead of simply stating “Increase sales,” you can define “Grow monthly recurring revenue by 15–20% in Q3 while keeping churn under 5%.” That precision allows agents to choose actions that fit within an acceptable band and flag risk if conditions drift.

Goals also act as a source of alignment. Each agent you deploy checks its decisions against the same declared outcomes, preventing the fragmentation that happens when different tools optimise in isolation. When goals shift — because strategy evolves or new information arrives — the system ripples the update across all connected workflows.

By making goals explicit, Decidr moves you from managing tasks to orchestrating outcomes. It becomes clear what success looks like at every level, and your AI org can reason about trade-offs, dependencies and progress without constant human micromanagement.