A model of how your business executes — built to show cause, constraint, and action.
Not a dashboard of what happened. Not a chatbot guessing why. A causal model you can interrogate — tracing every outcome down to the constraint driving it, and the decision that resolves it.
Four tools claim this territory. Only one models the cause.
Every executive already has tools that touch performance. None of them answer the question that actually matters in the room — why is this happening, and what fixes it.
Four primitives, in strict dependency order.
Remove any one and execution reverts to opinion, assumption, repetition, reset.
A causal execution model that links financial outcomes to the constraints that drive them, with confidence scored at every node. Sector-grounded, calibrated to your data, owned by you.
Maturity, Clarity, Agility, Velocity — 110 sub-dimensions that define how execution physics operate. Measured through structured surveys plus direct system signals: decision latency, throughput, coordination drag.
The reasoning layer that operates inside the Mirror’s structure and the Framework’s limits. Traceable inference, not pattern-matching — AI grounded in your causal model, not an AI wrapper. Deployed in the workspace, in Slack and Teams, and via proactive alerts.
Monitor → Analyze → Execute → Prove. Closed-loop attribution that compounds proof and refines the model over time.
In sequence — reality, limits, interpretation, learning — the four primitives form Execution Physics™, the methodology underneath every install. It’s why a 30-day Mirror produces partner-grade output: the substrate is already built when you arrive. We calibrate it to you.
From day one, the model is interrogable.
On day one, the Mirror is live and Joyce is the interrogation interface — ask any outcome “why” and follow the causal chain back to its drivers, with the evidence attached. The Strategy Lab is an Illuminate-stage capability: when the Mirror becomes a continuously refreshed system, the Lab opens deeper analytical surfaces — scenario tests, what-if branches, constraint sensitivity — on top of the same causal substrate.
Built to survive the room — every claim carries its evidence.
A causal read is only worth as much as it can withstand under questioning. Rejoyce is built so every node is defensible: scored for confidence, sourced to its evidence, and honest about what it doesn’t yet know.
Every node carries a Fog Score™ — high where data is complete, explicitly directional where it’s thin. No unqualified claims.
Each causal edge is contribution-weighted and provenance-qualified. You can follow any finding back to the data that produced it.
Maturity, Clarity, Agility, Velocity scored across organizational layers — survey-based and system-derived, with auditable weights.
Why existing systems can’t answer the executive question.
Decision Intelligence is a broad category. Most of it optimizes operational decisions or builds models for data teams. Rejoyce occupies the strategic layer — the executive decision where strategy meets execution — and arrives with the decision asset already built.
Process Intelligence
Operational DI
Causal AI Tooling
Rejoyce
Source: Gartner Magic Quadrant for Decision Intelligence Platforms, January 2026; Gartner Hype Cycle for Emerging Technologies, 2025. Gartner does not endorse any vendor, product, or service depicted in its research.
See the causal read on your business.
The fastest way to understand the model is to point it at your own world. About 10 minutes, self-guided, calibrated to your sector — you leave with the analysis regardless of what comes next.
Email-gated · sector-calibrated · about 10 minutes · no newsletter, no drip sequence you didn’t ask for, no drip sequence.