Understanding how Decisio's five specialized AI agents work together to analyze your data and generate actionable business decisions.
What is an AI Agent?
In Decisio, an AI agent is a specialized autonomous system designed to handle a specific type of business decision. Unlike general-purpose AI assistants, our agents are:
- Domain-specific: Each agent is expert in one area (pricing, forecasting, etc.)
- Proactive: They continuously analyze data and surface opportunities
- Explainable: Every recommendation includes reasoning and confidence
- Learnable: They improve based on your feedback and outcomes
The Five Agents
How Agents Collaborate
While each agent focuses on a specific domain, they share information to provide holistic recommendations:
- Orion → Nova: Demand forecasts inform safety stock calculations
- Nova → Astra: Inventory levels influence pricing recommendations
- Astra → Pulse: Price elasticity data optimizes promotion depth
- Sentinel → All: Risk alerts can trigger reviews of other decisions
Decision Lifecycle
Every decision generated by an agent goes through a defined lifecycle:
- Generated: Agent identifies an opportunity or issue
- Pending: Decision awaits human review (if required by policy)
- Approved/Rejected: Human takes action
- Executed: Approved decision is applied to external systems
- Monitored: Outcome is tracked for learning
Confidence Scores
Every recommendation includes a confidence score (0-100%) that reflects how certain the agent is about the decision. Factors affecting confidence:
- Amount of historical data available
- Consistency of patterns in the data
- Similarity to past successful decisions
- External uncertainty factors
You can configure approval policies based on confidence — e.g., auto-approve decisions with 90%+ confidence, require review for anything below.