How does Changeworks™ measure AI adoption?

Changeworks™ measures adoption by capturing how AI agents, human teams, and workflows actually behave and evolve together. Instead of relying on simple usage counts or login data, the platform analyzes the full lifecycle of agentic AI in your organization — from technical performance to human adaptation to collaborative workflows.

Changeworks™ collects three layers of intelligence:

1. Agent Performance Intelligence

Tracks agent actions, reliability, success/failure patterns, workflow impact, and alignment to business goals and guardrails. This shows whether agents are performing as expected and where they create—or limit—value.

2. Human Adaptation Intelligence

Measures how people engage with agentic systems through workflow changes, feature usage, readiness signals, resistance patterns, sentiment, and behavioral data. This highlights who is adopting, who is struggling, and where targeted support is needed.

3. Collaboration Intelligence

Analyzes human–agent handoffs, multi-agent coordination, process flows, and where interactions break down or accelerate performance. This reflects how well teams and agents operate as one system.

What this enables

By unifying these data streams, Changeworks™ generates:

• Readiness and resistance scores

• Adoption and performance heatmaps

• Friction point identification across technical and human systems

• Direct links between adoption patterns and business outcomes

The result is a complete, real-time view of how agentic AI is being adopted — and where adjustments are needed to scale safely, effectively, and sustainably.