Decision Intelligence
The discipline of using data, AI, and structured processes to improve how decisions are made across an organization. Decision Intelligence focuses on increasing speed, accuracy, and consistency of decisions at every level.
Decision ROI
The measurable business value generated from a decision relative to the time, cost, and effort required to make it. High Decision ROI means making faster, more accurate decisions with fewer resources.
Decision Support System (DSS)
A system that helps individuals and teams make better decisions by providing relevant data, analysis, and recommendations. Farsight extends traditional DSS by enabling execution and continuous learning.
Closed-Loop Decision System
A system where decisions are made, executed, measured, and continuously improved using feedback. Outcomes are fed back into the system to refine future decisions.
Decision Velocity
The speed at which decisions are made and acted upon. Increasing decision velocity allows organizations to respond faster to changes in operations, markets, and demand.
Decision Accuracy
The likelihood that a decision leads to the intended outcome. Higher accuracy reduces costly mistakes and improves operational performance.
Farsight DS
An AI-powered decision support platform that connects operational data, business processes, and organizational knowledge to help companies make faster, more accurate decisions.
FLEX© Workflow
A configurable workflow in Farsight that connects data, people, and decision steps into a repeatable operational process. FLEX© workflows ensure consistency for repeatable processes.
Probabilistic Simulation (Monte Carlo)
A method of modeling outcomes by running many simulations with variable inputs to understand risk and variability. Used to forecast demand, costs, and operational performance under uncertainty.
Company Facts Engine
A system that extracts, stores, and continuously updates key facts about a company from data, documents, and workflows. These facts provide context for AI-driven decisions.
Human-in-the-Loop
A system design approach where humans remain actively involved in reviewing, approving, or guiding decisions made by AI. This ensures accountability, oversight, and practical judgment in critical processes.
Agentic AI
AI systems that can take actions, make decisions, and execute multi-step tasks toward a goal with limited human intervention. In Farsight, agentic AI operates within defined workflows and guardrails.
Computer Vision in Manufacturing
The use of AI to analyze images or video from production environments to detect defects, monitor processes, and improve quality control in real time.
Machine Learning (ML)
A subset of artificial intelligence that enables systems to learn patterns from data and improve over time without being explicitly programmed. In Farsight, machine learning is used to identify trends, generate forecasts, and surface insights—such as predicting demand, detecting anomalies in operations, and improving decision accuracy based on historical outcomes.