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Change Manager

Design and deliver change communications

Enhances✓ Available Now

What You Do Today

You craft messages that explain the why, what, and how of change — tailored for different audiences, delivered through the right channels, at the right time.

AI That Applies

AI generates communication drafts for different audiences, optimizes timing and channel selection based on engagement data, and personalizes messages by stakeholder group.

Technologies

How It Works

The system ingests engagement data as its primary data source. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The output — communication drafts for different audiences — surfaces in the existing workflow where the practitioner can review and act on it.

What Changes

Communication production scales when AI generates audience-specific drafts that you refine and approve.

What Stays

Crafting the narrative that inspires rather than informs, choosing the moments that matter for leadership visibility, and the authenticity that makes change communications credible.

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.

1

Establish Your Baseline

Know where you are before you move

Before adopting AI tools for design and deliver change communications, understand your current state.

Map your current process: Document how design and deliver change communications works today — who does what, how long it takes, where the bottlenecks are. You need this baseline to measure improvement.
Identify the judgment points: Crafting the narrative that inspires rather than informs, choosing the moments that matter for leadership visibility, and the authenticity that makes change communications credible. These are the boundaries AI won't cross.
Assess your data readiness: AI tools for this area need data to work. Check whether your organization has the historical data, integrations, and data quality to support Communication AI tools.

Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.

2

Define Your Measures

What to track and how to calculate it

Time per cycle

How to calculate

Measure how long design and deliver change communications 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.

When to check: Check after 30 days of consistent use, then quarterly.
The commitment: Give new tools at least 30 days before judging. The first week is always awkward.
What NOT to measure: Don't measure AI adoption rate as a KPI. Adoption follows value — if the tool helps, people use it.
3

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 design and deliver change communications?

They set the strategic priority for transformation initiatives

your CTO or CIO

Who on our team has the deepest experience with design and deliver change communications, 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 design and deliver change communications, what would we measure before and after to know it actually helped?

Their buy-in determines whether your strategy actually gets implemented

4

Check Your Prerequisites

Confirm readiness before you invest

Check items as you confirm them.