P3 starts from a simple observation: content often puts people to sleep, when it should wake them up. And while 85% of companies know they need to speak up to exist, very few do so with impact. Why? Because producing strategic, relevant and regular content is complex.

They decided to change the rules. P3 is an AI-powered platform that intelligently automates the production of personalized content, aligned with brands’ real objectives. But that’s not all: they don’t deliver yet another tool, but design AI agents that understand, plan, create, publish and recommend in a loop. In short: AI becomes your best marketing collaborator.

Their promise is to awaken strategies. Align content with the company’s business. “We make the connection between who you are, what you’re aiming for… and what you broadcast.

The P3 advantage is a complete analysis of your brand and your competitors in just a few minutes. We provide a clear and actionable strategic vision over 6 months, creative automation, personalized to your tone, your channels, your priorities, a proactive approach, powered by real-time data. We designed P3 for all those who want to communicate without spending their days doing it. For SMEs without a marketing department, startups seeking efficiency, solo freelancers multitasking. For those who want an AI that doesn’t tell stories, but writes them for you.”

What unique aspect of your sector prompted you to integrate AI, and how has it transformed your operations? Introduce your business.

We come from the world of content and strategic marketing—a sector in full transformation. With the arrival of generative AI, we’re no longer just talking about generating text, but automating decisions, campaigns, entire workflows. Marketing is becoming a hybrid function: more technical, more personalized, but also more demanding in terms of management. What we see at P3 is that companies don’t lack ideas, but bandwidth to execute them. Well-used AI can give time back to teams, but above all allow them to act with clarity and consistency. Our role is to make this technology not only accessible, but truly useful: we transform strategy into content, content into action, action into results.

I come from the life sciences, a highly regulated, highly demanding sector, where you can’t afford to test vague concepts. The AI approach must be both rigorous and contextualized. It’s this rigor that I wanted to apply to marketing with P3: a personalized, reliable AI, capable of handling what humans no longer have time to do without ever taking control away from them.

Marketing, historically, was a mix of intuition, tools and human time. Today, this model is running out of steam. Companies are overwhelmed with data, channels, content to produce—and AI can act as a real structuring and execution engine. But beware: the shift from AI tool to AI collaborator is a real cultural leap.

What we’ve created at P3 are professional AI agents: they know what to do, with what objective, in what timeframe. They’re trained to understand a strategic brief, plan a campaign, produce content consistent with the brand, analyze performance… and start again. And above all, they don’t work in a vacuum: they integrate into a professional ecosystem, with human collaborators, existing tools, real constraints. What we bring is this fusion between AI, UX and business strategy. AI is not a gimmick. It’s a lever to reorganize marketing around action, not just production.

What unexpected innovations have emerged following the adoption of AI in your company?

What we anticipate is that AI will continue to dissolve traditional silos: middle office, content factory, communications department. Everything converges. The marketing of the future won’t be louder, it will be more relevant, proactive, measurable. What we hadn’t anticipated is the emergence of a new culture of action. With AI, we obviously gain speed in production, but above all, we enter a logic of fine-tuned management: every piece of content produced, every action launched by an AI agent is measured, questioned, optimized. This has pushed the entire team to develop new reflexes: think in scenarios, test faster, refine more often.

Today we have new profiles that didn’t exist two years ago—augmented writers, AI coordinators, narrative prompt designers… They’re the ones who today ensure the quality of dialogue between human strategy and AI execution. What struck me most is how much AI agents will structure organizations.

By developing them, we’re forced to clarify what we really want: which KPIs to track, which formats to prioritize, which tone to embody. And then there was an unexpected effect: the ability to bring out internal models of AI/human collaboration. We stopped thinking of AI as “something separate” or a superimposition. Today, our agents participate in monitoring, editorial coordination, marketing qualification. They don’t replace anyone, but they allow everyone to work in their value zone. And that’s where we see innovation: in the organization, not just in the technology.

How did you overcome the cultural and human challenges when integrating AI with your clients and internally?

In France, unlike what we often observe in the United States, AI adoption is not based solely on the promise of efficiency. You need meaning, pedagogy, trust. The relationship with technology is more cautious, more rooted in business realities, sometimes crossed by fears (loss of control, impoverishment of content, dehumanization).

And in the current climate—between information overload, regulatory concerns and inflation of AI discourse—the real value is proof of use. I think one of the big mistakes is to present AI as a revolution. We integrate it as a controlled evolution. We explain it, we show it, we have people test it on concrete cases. And above all, we let users challenge it, reformulate it, question it. It’s not a black box. It’s an evolving tool, managed with them.

At P3, we also have a strong culture of co-construction: and to be honest, the best ambassadors… are often those who were the most skeptical at the start. I’ve learned in 25 years of entrepreneurship that adoption is 80% human, 20% technology. Our AIs are trained, of course. But so are our clients. We train them to dialogue with them, to challenge results, to refine. And it’s this shared intelligence that makes the difference.

Our culture at P3 is active listening. We never deploy AI without having understood the weak signals: business irritants, motivation levers, implicit fears. We work a lot with teams upstream, in short and accessible formats: projection workshops, rapid prototyping, instant feedback. The idea is not to impose an AI, it’s to bring out a human-agent duo, which adjusts as it’s used.

And we’re very transparent: about what the AI does, what it can’t do, what remains human responsibility. This transparency creates a climate of trust. And it’s often this trust that unlocks adoption.

What positive changes have you observed in your clients’ team dynamics thanks to AI?

In a context where many marketing teams are saturated, understaffed and continuously solicited, AI can be perceived as one more pressure… or as a breath of fresh air.

With our clients, positive changes manifest very quickly. First, through cognitive relief: teams no longer need to carry alone the burden of monitoring, coordination or planning. AI takes care of the “noise” to allow them to focus on the essential. Then, we observe a real return to pride in a job well done: producing coherent content, aligned with strategy, with real regularity, without spending nights on it. And that changes the dynamic: teams feel more useful, more strategic, more valued.

What we also see is the emergence of augmented teams. Employees don’t delegate their job to AI—they expand it. AI becomes a co-pilot, a support, sometimes a sparring partner. Result: we see profiles gaining momentum, juniors who dare more, seniors who focus on high-impact decisions.

Another point: the culture of measurement naturally sets in. Since AI works on feedback loops, teams get into the habit of testing, comparing, adjusting. And that reinforces their strategic posture: less hot reactions, more decisions driven by concrete signals. And above all, AI creates coherence where there was dispersion. Fewer lost tasks, fewer useless meetings, less frustration.

What essential advice would you give to SMEs hesitating to take the leap towards AI?

The real issue isn’t the size of the company. It’s its ability to ask a simple question: where can I gain time, clarity or value today?

Too often, SMEs imagine that AI is reserved for large groups, that you need a CIO, an army of developers or impeccable databases. That’s no longer true.

My advice: start small, targeted, actionable. Identify a concrete friction point—a repetitive task, a synthesis need, a waste of time on operations. Then, surround yourself with people capable of speaking business language as much as technical language. That’s where we come in at P3. With my experience in digital transformation (CRM, marketing automation, cloud ecosystems), I’ve seen dozens of organizations lose months because of poor initial scoping. What I offer today with P3 is an operational, interoperable AI that integrates with your existing tools, your team, your processes—without friction.

We’ve developed agents capable of acting in complex business environments, without weighing down teams, by providing recommendations based on concrete data, and adapting to the organization’s maturity level. It’s an AI that respects ground reality. And above all, don’t be afraid of innovation: AI is not there to replace humans, it’s there to save them time, comfort and perspective. And in an SME, those are gains that are felt immediately. AI is not reserved for large companies. What often holds SMEs back is not the tools, but beliefs: “it’s expensive,” “it’s complex,” “it will dehumanize our message,” or “it’s not reliable.” And yet, these are myths we can now deconstruct.

At P3, we’ve structured an approach to de-risk AI adoption, particularly in contexts where content is a strategic lever. Concretely, that means:

  • Making generated information reliable through integrated verification agents, human validation processes, and a systematic confidence index for each deliverable.
  • Personalizing tone through a brand and author glossary, contextual variables and fine adaptation to the channel (article, LinkedIn, email, etc.).
  • Evaluating results with a perceived quality rate and strategic coherence.
  • Creating actionable formats, not “showcase” deliverables: our agents produce, but also know how to propose, challenge and adapt to field feedback.
  • Humanly supporting adoption: training, onboarding, co-construction with teams, progressive confidence building.

In summary, AI becomes a teammate: it helps you act, decide faster, be more visible… without sacrificing your voice or your vision.

So my advice: start with a business use case. A real irritant. An issue you know by heart. And surround yourself with a partner who doesn’t just sell you a tool, but a method and a result. Be demanding, but open. AI is not a magic wand, but it’s a fabulous tool if you know what to do with it. Test, measure, adjust. And above all: stay human. The real strength of an AI is what it allows you to become again.

The co-founders of P3

Francis Méléard

A serial entrepreneur passionate about big data, AI and digital innovation, Francis designs P3’s technological vision. He leads the development of AI agents, structures product architectures, and translates major strategic directions into concrete functionalities. A true bridge between technology, content and performance, he puts his experience at the service of an operational, efficient and accessible AI.

Nadège Kaci

An expert in healthcare and strategic marketing in complex sales, Nadège structures offers around user needs. She ensures convergence between customer insights, market trends, and the product roadmap. She manages partnerships and go-to-market strategy. Her mission: to make P3 an embodied, recognized, and profoundly useful solution for businesses.