Cursus connects ambient behavioral signals — communication metadata, calendar patterns, ERP adoption telemetry, and AI tool usage — into a continuous intelligence layer built on validated organizational science. Every score traces to peer-reviewed research. AI adoption is treated as a change management problem, not an IT rollout metric.
Architecture
Raw behavioral signals enter at the bottom. Validated construct scores, readiness intelligence, and contextual coaching emerge at the top.
Data Layer
Signal Collection
Intelligence Layer
Org Intelligence Computation
Change Management Layer
Program Execution
Leadership Layer
Scoped Leadership Intelligence
Product screenshot coming soon
Built on academic research
Cursus operationalizes decades of organizational science into scores and dashboards that practitioners can act on.
Teece, Pisano & Shuen (1997)
Teece's framework explains why some organizations adapt and others don't — sensing environmental shifts, seizing opportunities, and reconfiguring resources. Cursus operationalizes all three into a composite index that tracks organizational agility over time.
Luthans, Youssef & Avolio (2007)
Hope, Efficacy, Resilience, Optimism — the HERO composite. Luthans demonstrated that PsyCap is developable, not fixed, and predicts performance through disruption. Cursus tracks it at the group level from ambient signals, not annual surveys.
Cohen & Levinthal (1990)
Cohen and Levinthal's foundational insight: an organization's ability to absorb new knowledge depends on what it already knows. Zahra and George extended this to potential vs. realized capacity. Cursus computes both — and uses the gap to predict change velocity limits.
Cross, Parker & Borgatti
Burt showed that structural holes predict influence. Granovetter showed weak ties drive information flow. Pentland showed that communication patterns predict team performance. Cursus builds continuously-updated network maps from metadata — no survey required.
Key capabilities
Composite organizational health derived from six climate dimensions, PsyCap, absorptive capacity, and network topology — not a single engagement score.
Influence maps built from communication metadata using Burt's structural holes and centrality algorithms. See who shapes opinion — and where change cascades will stall.
Cross-program saturation scoring against group-level absorptive capacity ceilings. Flags collision risk before you commit another initiative.
Dual-axis readiness scoring: energy (motivation) vs. commitment (behavioral intent). Each quadrant maps to a distinct intervention profile.
An AI copilot grounded in your organizational data, your change philosophy, and validated OCM methodology — not generic advice.
Hierarchy-scoped intelligence for directors and VPs. Group-level readiness, change exposure, and AI coaching — no individual data, by architectural design.
Aggregation enforced in the data model, not by policy. Individual behavioral signals are architecturally inaccessible to managers and executives.
Pluggable adapters for HRIS, ERP, ITSM, and communication platforms. Metadata by default. Content access requires explicit org-admin opt-in.
We’ll walk you through the intelligence layer — from ambient signal ingestion through construct computation to practitioner dashboards — using your organization’s structure and use cases.
See the Demo