Understand first. Then decide.

Understand where AI may affect the work your people do.

The Workforce AI Impact Snapshot draws on private input from your own employees to show where tasks may be affected, where human capabilities matter, and how prepared the workforce appears to be for change and AI-assisted work.

Developed by Donald DeGagne, a former City Manager with 32 years of local-government management experience and post-retirement work in small-business development and marketing.
WORKFORCE AI IMPACT SNAPSHOT

An organizational picture, grounded in private employee input

Lakeside Regional Services · synthetic V1.5 test · 12 simulated participants

40–50%Team average task exposure
AI Task Exposure
6 of 12 Elevated
Human Strengths
6 of 12 Strong or Very Strong
Adaptability
4 of 12 High or Very High
Technology Readiness
6 of 12 Building
Excerpt from a synthetic test report. It does not describe an actual organization or workforce.

AI may touch different parts of the same organization in different ways.

A job title rarely tells the whole story. Even people in similar roles may do different tasks and have different experience with technology and change.

Explore the task-level approach →

A clearer starting point for decisions

01
Look at tasks, not labelsLook at where AI capabilities may intersect with the work people actually perform.
02
See more than exposureConsider human strengths, adaptability and technology readiness alongside task exposure.
03
Use your own evidenceDiscuss the aggregate findings with employees before choosing tools, training or other action.
The main offering

What the Snapshot shows.

Participating employees privately describe their work and their experience with change and technology. Their responses are brought together to show organization-level patterns.

Private employee input→Four distinct dimensions→Organizational Snapshot
01

AI Task Exposure

Where current AI capabilities may intersect with the tasks people perform.

02

Human Strengths

Human-centred responsibilities and workplace strengths that remain important as work changes.

03

Adaptability

How readily people appear able to adjust to changing responsibilities and ways of working.

04

Technology Readiness

Technology comfort, organizational support and experience with AI tools.

Leadership receives the organizational picture

Aggregate findings, interpretation, practical considerations and, when comments are provided, an unattributed summary of their material themes.

Participants receive private personal reports

Their individual results and personal reports are not shared with leadership.

Built into the approach

A useful picture needs trust.

Privacy supports candid participation. The resulting evidence can guide discussion without steering the organization toward a particular purchase or provider.

We collect and summarize.
You decide.

Individual reports stay private

Findings are reported for the organization as a whole, without identifying individuals or breaking results down by position, department or group. Individual responses are not linked to reported findings or comments.

Findings are independent

The Snapshot may identify areas worth exploring, but it does not promote a specific tool, training program, consultant or Realistik service.

The organization makes the decisions

Leaders can discuss the findings with employees and seek the expertise their own situation calls for. Read about the approach →

Donald DeGagne, founder of Realistik AI Dynamics
The practitioner behind Realistik AI Dynamics

Built from experience managing people and change.

I’m Donald DeGagne. I spent 32 years in local-government management, including as a City Manager, then developed small businesses and worked in marketing after retirement. I founded Realistik AI Dynamics to help leaders understand the work inside their own organizations before deciding how to respond to AI.

“Before an organization invests in AI training, tools or consulting, shouldn’t they first understand how AI may affect the work their people do?”

The approach combines practitioner judgment, defined methods and AI-supported analysis. Its findings come from the organization’s own work evidence, not assumptions about its sector.

What would a Snapshot show about your organization?

Explore the approach, view a sample report, or get in touch to discuss whether it fits your organization.

Looking at your own work? See individual sample reports →