Change Manager
Build and support change champion networks
What You Do Today
You identify and develop change champions — influential employees at every level who advocate for the change, provide peer support, and serve as your eyes and ears on the ground.
AI That Applies
AI identifies potential champions through organizational network analysis, tracks their engagement effectiveness, and provides them with tailored talking points.
Technologies
How It Works
The system ingests their engagement effectiveness as its primary data source. The analytics engine aggregates data across sources, applies statistical analysis to identify significant patterns and outliers, and presents the results through visualizations that highlight what needs attention. The output — them with tailored talking points — surfaces in the existing workflow where the practitioner can review and act on it.
What Changes
Champion identification becomes more data-driven when AI maps informal influence networks rather than relying on manager nominations.
What Stays
Recruiting, motivating, and supporting champions — the personal relationship and encouragement that keeps them advocating when change gets hard.
What To Do Next
This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for build and support change champion networks, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long build and support change champion networks takes end-to-end today, then after AI adoption.
Why it matters
The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.
Quality of output
How to calculate
Track error rates, rework frequency, or stakeholder satisfaction scores before and after.
Why it matters
Speed without quality is just faster mistakes. Measure both.
Start These Conversations
Who to talk to and what to ask
your CEO or executive sponsor
“What data do we already have that could improve how we handle build and support change champion networks?”
They set the strategic priority for transformation initiatives
your CTO or CIO
“Who on our team has the deepest experience with build and support change champion networks, and what tools are they already using?”
They own the technology capability that enables your strategy
the leaders of the business units you're transforming
“If we brought in AI tools for build and support change champion networks, what would we measure before and after to know it actually helped?”
Their buy-in determines whether your strategy actually gets implemented
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.