Skip to content

Change Management Lead

Communication Planning & Execution

Enhances✓ Available Now

What You Do Today

You develop and deliver the communications that build awareness and understanding — town halls, emails, FAQs, videos — tailored to different audiences and timed to the change lifecycle.

AI That Applies

AI-assisted content generation that creates change communication drafts for different audiences, adapting messaging tone and detail level based on the recipient group's role and change impact.

Technologies

How It Works

The system ingests recipient group's role and change impact as its primary data source. A language model processes the input by identifying relevant context, generating appropriate responses, and structuring the output to match the expected format and domain conventions. The output — change communication drafts for different audiences — surfaces in the existing workflow where the practitioner can review and act on it. The message itself.

What Changes

Content creation accelerates. AI generates first drafts of change communications for different audiences, so you spend time refining the message rather than staring at a blank page.

What Stays

The message itself. What you say during change matters enormously. The framing, the honesty about what's hard, the connection to why it matters — that requires understanding the organization's emotional state.

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 communication planning & execution, understand your current state.

Map your current process: Document how communication planning & execution works today — who does what, how long it takes, where the bottlenecks are. You need this baseline to measure improvement.
Identify the judgment points: The message itself. 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 Generative 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 communication planning & execution 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's our current capability gap in communication planning & execution — and is it a people problem, a tools problem, or a process problem?

They set the strategic priority for transformation initiatives

your CTO or CIO

How would we know if AI actually improved communication planning & execution — what would we measure before and after?

They own the technology capability that enables your strategy

4

Check Your Prerequisites

Confirm readiness before you invest

Check items as you confirm them.