Skip to main content

You’ve just launched a business and now you’re looking to scale up.

Or you’re leading a major project for a big organization.

In either case, you decide to integrate AI to help you gain efficiency, including to understand your market, communicate with your audiences, increase the impact and outreach of your organization.

But what actually works? And have considered the risks?

With over decades of experience supporting clients across finance, tech, crypto, and impact, our team of senior consultants decided to test and analyse different AI, from conversational LLMs to in-built tools.
Here’s how we have done it — and what works well and what raises more red than green flags.

Is Communications dying in the era of AI?

8 case studies with expert insights

To read it all in once:

Any questions, including regarding the prompts we used?

Consultancy32 understands the potential and the challenges Artificial Intelligence is bringing to communications. A year ago, we created our very own task force to further look into the value added and the risks brought by AI use. This casebook, and the online tool that accompanies it, is the result of our accumulated experience coupled with discussions, reflections and testing around AI.

With a team that has decades of expertise in communications and marketing, we have a clear-eyed view of what actually works, and what doesn’t, when integrating AI into client missions. This research series is our honest account of that experience. We worked with at least one consultant expert in one domain to write up a case about how that integration went. In each case study, we break down where AI brought genuine value and efficiency gains, where it proved useless or counterproductive, as well as the reputational and ethical risks we identified along the way.

The result is an interactive online tool intended for business leaders: VPs in larger corporations, startup founders, CEOs, heads of NGOs, and beyond. However, knowing the importance of a strategic judgment, and knowing that this casebook will also be accessed by fellow communicators working across different sectors, we deemed it important to lay out some core principles that steer our work with AI — a moral compass for communicators.

As of June 2026, it presents eight case studies showing how we integrate AI tools across our communications and marketing practice to deliver sharper, faster results for our clients.

Each case study covers five areas:

  • A brief introduction to the communications domain
  • Our methodology and AI-integrated approach
  • A concrete case in point
  • Ethical and reputational risks
  • Key outcomes

A little heads up on its contents: we have redacted the names of our clients to protect their privacy and refrained from advertising AI tools used. This document was produced with the help of AI.

Related content

Comms Beyond Algorithms: Frédérique Viviand
Human Comms in the AI Era: Stephanie Herrmann
Machine-Made design Dilemmas: Stéphanie Morin
Navigating AI in Strategic Comms: Alex Brown
Authentic Comms: Reslene Yahimi
Affordable, Accessible, Apathetic AI Comms: Claudia Nanni
Critical eye, Critical mind for AI Comms: Alexandra Brainos-Gimond
Natural Comms, Artificial Intelligence: Diane Gaillard
Comms Instict Over Algorithms: Barbara Mahé
Comms, Ethics, AI: Hugo Arruda