About Cursus

Navigate change.
Build resilience.

Fifty years of organizational behavior research has explained why change initiatives fail. Cursus is the first platform to operationalize that research into continuous, ambient organizational intelligence.

Most organizations can tell you their revenue to the penny in real time but rely on quarterly surveys to understand how their people are responding to change. Cursus closes that gap — ambient behavioral signals scored into validated constructs that update continuously, not on a survey schedule.

Enterprise OCM software for teams managing continuous transformation across complex organizations.

The enterprise challenge

Organizations don’t face one change at a time anymore.

Enterprise teams are managing overlapping transformations — ERP migrations, org restructures, M&A integrations, new operating models — all hitting the same stakeholder groups simultaneously. The biggest pain point practitioners report is not a single failed initiative, but cumulative change saturation that erodes adoption across every program.

Traditional tools treat each program in isolation. Cursus treats your organization as a continuous system — measuring absorptive capacity, tracking cumulative load, and surfacing saturation risks before they become adoption failures.

Without continuous intelligence

Quarterly surveys miss real-time shifts. Practitioners discover resistance after it has calcified. Change load is a guess. Leaders get stale briefings assembled from anecdote.

With Cursus

Ambient signals provide continuous sensing. AI-driven readiness scores update as conditions change. Interventions are timed to readiness data, not project plans. Leaders receive synthesized briefings grounded in evidence.

Our mission

Make every change initiative evidence-based.

Change management has been opinion-driven for decades. The canonical statistic — that roughly 70% of change initiatives fail to achieve their intended outcomes — is not a mystery. It is the predictable result of applying subjective judgment to a problem that organizational behavior research has been studying rigorously for over fifty years.

The research exists. Luthans validated PsyCap as a predictor of performance through change. Burt and Granovetter mapped how influence propagates through organizational networks. Zahra and George formalized absorptive capacity — the upper bound on how much change a group can metabolize. Schneider showed that organizational climate predicts collective behavior more reliably than individual attitudes. The gap has always been operationalization.

Cursus bridges that gap. We take validated academic constructs — PsyCap, organizational climate, absorptive capacity, network centrality — and compute them continuously from ambient behavioral signals. The result is organizational intelligence that updates as conditions change, not organizational opinion that was accurate three weeks ago.

Academic foundations

Four research pillars. One coherent platform.

Every score in Cursus traces back to peer-reviewed organizational science. We operationalize the research — we don’t invent our own frameworks.

Energy-Commitment Model

Based on decades of organizational readiness research, the E-C model measures two orthogonal dimensions of stakeholder readiness. This dual-axis approach predicts the specific intervention type required — coaching for low-commitment groups, capability building for low-energy groups — rather than applying a generic communication plan to everyone.

Organizational Network Analysis

Grounded in Burt's structural holes theory, Granovetter's weak ties research, and Pentland's work on honest signals, ONA maps informal influence to identify change champions and communication bottlenecks. Cursus builds these maps through behavioral inference from communication metadata — continuously, not from one-time self-report surveys.

Dynamic Capabilities Index

Derived from Teece, Pisano, and Shuen's dynamic capabilities framework, the DCI tracks an organization's sensing, seizing, and reconfiguring capacity across change cycles. It tells you not just where you are, but how fast you can adapt.

Positive Psychological Capital

Built on Luthans et al.'s PsyCap construct — the HERO model: hope, efficacy, resilience, and optimism — this index measures workforce psychological readiness as a leading indicator of change absorption. Luthans demonstrated that PsyCap is developable, not fixed — which means groups with low PsyCap require targeted psychological capital interventions, not the same resistance-management playbook.

The problem we’re solving

From periodic and reactive to continuous and adaptive.

The shift from legacy OCM to organizational intelligence isn’t incremental — it’s architectural.

Legacy OCM

  • Readiness assessed via periodic surveys with 3-6 week latency and single-digit response rates
  • Change load estimated subjectively — no aggregation across concurrent programs
  • Intervention timing driven by the project plan, not readiness data
  • Impact on people tracked in spreadsheets with no aggregation
  • No feedback loop from execution back to strategy
  • Influence networks mapped via self-report surveys subject to social desirability bias (Burt, 2005)
  • Executive briefings assembled manually from practitioner judgment

Continuous intelligence with Cursus

  • Continuous behavioral inference from communication metadata, calendar patterns, and adoption telemetry
  • Change load computed as weighted aggregate across concurrent programs, scored against group-level absorptive capacity ceilings
  • Readiness-driven intervention timing with leading indicators
  • Impact tracking with full traceability from signal to action
  • Closed-loop effectiveness measurement that feeds the next cycle
  • Influence networks built from real communication metadata
  • AI-synthesized briefings grounded in organizational data

Our approach

Three principles that shape every decision.

Privacy by architecture, not policy

Individual behavioral data is never surfaced in manager or executive views. Aggregation thresholds are enforced in the data model itself — not by access control alone. No configuration, permission, or role grants access to individual-level signals.

Intelligence, not surveillance

Cursus is designed to help people navigate change successfully, not to monitor them. Every data collection decision starts from employee benefit. The platform measures group readiness and organizational capacity — not individual productivity or compliance.

Built for practitioners

Designed by and for OCM practitioners, CoE leaders, and HR executives. Cursus is not a project management tool with a change tab bolted on. Every screen, every score, and every AI output is built around how experienced practitioners actually think about organizational change.

Our vision

Organizational adaptability as a measurable capability.

We believe the organizations that thrive through continuous change are not the ones with the best project plans — they are the ones that build adaptability as a core capability. Cursus exists to make that capability visible, measurable, and improvable.

Continuous over periodic

Organizations don't stop changing between quarterly surveys. Every capability we build is designed for always-on sensing and continuous intelligence.

Evidence over intuition

Luthans, Schneider, Teece, Zahra & George — fifty years of validated organizational science shouldn't stay in journals. We operationalize it.

Practitioner-first design

Every screen is shaped by how experienced OCM professionals actually work — not how software vendors think they should work.

Adaptability as a discipline

We believe organizational adaptability is measurable, improvable, and the single best predictor of whether a change initiative will succeed.

The research is clear. The platform is ready.

Organizations that treat change management as a data discipline — grounding every intervention in validated constructs and continuous measurement — consistently outperform those relying on practitioner intuition and quarterly surveys.

See the Demo