No. Organizations of 5 to 50 people are often those that benefit most quickly from AI — precisely because every hour gained has a direct impact. AI is not reserved for large companies with technical teams. It adapts to your scale, your tools and your resources.
That's exactly what the exploratory conversation I offer is for. In 30 minutes, we assess together your level of digital maturity, your real needs and the most relevant use cases for you right now. No technical prerequisites required — just the willingness to explore
No — and that's a conviction, not a sales argument. The AI I deploy is designed to free your teams from repetitive, low-value tasks, so they can focus on what truly matters: relationships, creativity, judgment, mission. The goal is not to reduce teams — it's to make them more effective and less overwhelmed.
That's the right question — and it's why adoption is an integral part of my approach. I train your teams, adjust based on their feedback, and remain available until the solution is genuinely used on a daily basis. A solution no one uses has no value.
An AI assistant is a conversational tool trained on your content and processes. It answers questions, drafts documents, prepares meetings, synthesizes information — based on what we have taught it to do. It works with your teams, not in their place.
An AI agent goes further than an assistant: it can execute actions autonomously — searching for information, triggering processes, interacting with your tools. Where the assistant responds, the agent acts. Both have their place depending on your needs — I help you determine which is appropriate for your situation.
Yes — and that's an essential criterion in what I build. The solutions I deploy are modular and adjustable. As your needs change, we adapt them together — and I support you through those adjustments along the way.
In many cases, yes. Integration possibilities are assessed during the diagnostic — that's when we determine what is feasible, relevant and proportional to your needs and resources.
No. I design solutions that can be used by teams without technical expertise. Training is part of the support, and I make sure the people responsible understand what they are managing — without needing a developer on hand permanently.
In three steps:
1. Audit and diagnosis — We start with a free 30-minute exploratory conversation. If we decide to move forward, I conduct an audit of your organization to identify the best use case: the one that will have the most impact now, with your current resources.
2. Implementation — I design and implement your custom solution. I draw on a network of specialized collaborators based on the scope of the project, to ensure quality delivery under all circumstances.
3. Support through to autonomy — I train your teams, adjust along the way, and remain available for ongoing improvements.
It depends on the complexity of the use case and your organization. A first targeted project can be operational in 4 to 8 weeks. A broader engagement generally spans 3 to 6 months. I give you a realistic estimate from the diagnostic stage — no false promises about timelines.
With a conversation. No technical vocabulary needed, no need to have already thought about a use case. My role is precisely to help you see clearly — starting from your reality, not mine.
It's a question few organizations ask in advance — and yet, data quality is the foundation of every successful AI project. Scattered documents, unstructured information, incomplete contact databases: these realities don't block a project, but they influence what can be done and in what timeframe. That's precisely what we assess together during the audit — to build on solid foundations, not assumptions.
Every project is different — I don't offer fixed packages, because needs vary too much from one organization to another. What I can say: I work with organizations whose budgets are sometimes limited, and I build solutions proportional to your resources. The exploratory conversation is free and without commitment — it's the best way to get a realistic idea of costs for your situation.
Yes. I work in compliance with Law 25 (Québec) and GDPR (Europe). Data protection is an integral part of every project — not an option. I explain clearly what data is used, how it is processed, and who has access to it.
Responsible AI is not a cosmetic addition to my approach — it is a working principle. Concretely, this means: transparency about how deployed tools function, technological proportionality, attention to potential biases, privacy protection, human oversight of sensitive decisions, and refusal of solutions that would harm your teams or your clients. I do not deploy a tool if I cannot explain it clearly to those who will use it.
Write to me directly — diane@soazmedia.com —
or book a 30-minute exploratory conversation.

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