The Decision Engine brings autonomous judgment to software. It doesn’t just respond — it decides.
While most LLM systems operate reactively, this agent is designed to weigh evidence, model constraints, and output a chosen path — either fully automatic or as a guided recommendation.
It's the heart of agentic reasoning: compressing complexity into choice.
In Software 3.0, decisions are not boolean checks. They are contextual outputs — weighted, explainable, and traceable.
Functional Logic
The logic pipeline includes:
- Goal + Constraint Parsing — What are we trying to optimize? What must we respect?
- Input Synthesis — Pull in structured data, memory, external documents
- Option Generation — Either retrieve from fixed set or generate dynamically
- Scoring + Ranking — Apply rule-based or LLM-based evaluations
- Decision Explanation — Output rationale, risk factors, alternatives
Decision outputs include:
- “Assign this to Team A”
- “Choose Option 2 because of risk profile X”
- “Delay shipment until legal signs off”
Software Enabled
- Workflow Orchestrators — Make choices at each branching step
- Delegated Agents — Choose vendors, classify risks, resolve tickets
- Human-in-the-Loop Tools — Show decisions with confidence and let users approve
- Dynamic Policy Executors — Adjust decisions based on real-time context
- Personal Decision AIs — Agents that manage calendars, inboxes, or finances
The Decision Engine brings us from “if-then” to “because-therefore.”
