SigmaGo
Decision Intelligence for Organizations
Organizations already have workflows for making decisions. SigmaGo is being designed to help them understand what those decisions collectively reveal.
Moving From Decision Tracking to Decision Intelligence
SigmaGo does not seek to replace existing ERPs, Jira boards, HRIS tools, or communication channels. Instead, it operates as an intelligent contextual layer that captures the relationship between policies, exceptions, approvals, and outcomes.
When an executive approves an exception or a project team changes an architecture, SigmaGo records the reasoning, evaluates the deviation, and builds an indexed organizational memory.
1. Context Capture
Seamlessly prompts decision architects for constraints, hypotheses, and discarded alternatives right at the moment of commitment.
2. Real-time Retrieval
Surfaces relevant historical precedents and outcome audits inside active review meetings, preventing repetitive debate.
3. Adaptive Governance
Monitors exception velocity to alert leadership when static policies have drifted away from operational realities.
The STEP Decision Taxonomy
SigmaGo organizes enterprise choices into four clear layers: Structural boundaries, Process mechanics, Transactional throughput, and Exceptional departures.
The STEP Decision Hierarchy
Exceptional Decisions
Variable / Critical Trigger PointsDeliberate departures from established rules to resolve unforeseen emergencies, capture strategic opportunities, or solve novel problems.
Measuring What Conventional Dashboards Ignore
Conventional analytics measure activity: how many tickets were closed, how many dollars were billed. SigmaGo measures judgment: how policies hold up under stress.
Impact Factor
Calculates the multi-dimensional blast radius of a decision across headcount, capital expenditure, customer exposure, and contractual risk.
Deviation Factor
Measures how far an exceptional approval bends or violates established standard operating procedures, preventing silent shadow precedents.
Confidence Factor
Scores the historical reliability of similar past decisions by auditing whether past hypotheses held true over 6, 12, and 24-month horizons.
Policy Health
Continuously tracks the gap between written policies and live frontline decisions, alerting committees when Policy Drift warrants intentional revision.
Decision History
A chronological, searchable cortex of why past choices were made, who authorized them, and what trade-offs were accepted.
Exception Intelligence
Aggregates recurring operational exceptions across business units to recommend formal structural improvements before friction mounts.
Explore a Guided SigmaGo Pilot in Your Organization
We are collaborating with forward-thinking leaders, CHROs, and engineering directors to map decision memory, evaluate policy health, and eliminate decision debt.