Vision builds and maintains a live digital model of your entire organization — people, processes, systems, and metrics — so you can see what's really happening, simulate what could happen, and act with confidence.
Traditional business intelligence is backward-looking. It tells you what your numbers were last quarter. It can not tell you what changed structurally, why performance shifted, or what will happen if you make a decision today.
Vision's Digital Twin is a living model. It captures not just metrics, but the relationships between the people, systems, and processes that drive those metrics. When something changes in the real world, the twin updates — and the intelligence layer recalibrates.
The Digital Twin is composed of six synchronized layers that together represent the full operational and strategic state of your organization.
Every role, team, reporting line, capability, and tenure pattern. The human architecture of your organization, mapped and kept current.
Workflows, handoffs, approval chains, and decision nodes. Where value is created, where it slows down, and where it leaks.
Every tool, platform, and integration in your stack — with usage patterns, dependencies, and health signals.
KPIs, leading indicators, and performance signals mapped to the entities that drive them. Not just what happened — but why.
The invisible web connecting your departments, systems, and outcomes. Dependencies, influence flows, and cascade paths.
AI-generated insights, patterns, and predictions layered on top of your live twin. The system that learns your organization.
The Digital Twin is the core substrate of Vision's intelligence platform. Every other capability — from scenario simulation to agentic execution — runs on it.
Always-current view of how your organization actually operates — not how the org chart says it does.
The digital twin is what the Scenario Simulator runs against. A richer twin means more accurate, trustworthy simulations.
Automatically surfaces bottlenecks, single points of failure, underutilized capacity, and structural risks.
Integrations keep the twin updated as your org changes — new hires, completed projects, structural changes, metric shifts.
AI agents in Vision™ act on the digital twin — reading its state, writing back outcomes, and improving its accuracy over time.
The sequencing engine uses the twin to prioritize initiatives, estimate dependencies, and model implementation paths.
"I need to understand why growth has plateaued even though the team has doubled."
The digital twin maps the relationship between headcount growth, process fragmentation, and output degradation — surfacing the structural cause, not just the symptom.
"We're launching a new product line in Q3. I need to know what breaks if we do."
Run a scenario against the live twin. See which teams get overstretched, which systems need upgrading, and which dependencies create launch risk.
"Two of our strongest leaders are at flight risk. What happens if they leave?"
The twin maps knowledge concentration, team dependency, and succession gaps — quantifying organizational fragility before it becomes a crisis.
"We're considering migrating off our legacy platform. What's the true blast radius?"
The systems layer shows every process, integration, and team that touches the platform — turning an IT decision into a full org-impact map.
Use the twin as the substrate for what-if simulations — the richer the twin, the more accurate the results.
AI agents read and write the digital twin continuously — executing tasks and updating the model as they work.
The knowledge graph is how the twin stores relationships — the connective tissue between every entity in your org.
Digital Twin is available on the Foresight and Enterprise plans. Connect your first integration and Vision starts building your twin automatically.