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Activate AI in your teams — for real

Having access to ChatGPT, Copilot or Claude isn't enough: without training, a clear policy, and targeted use cases, generative AI stays underused or gets used in risky ways. AI activation bridges the gap between the tool and concrete results in your teams, in a structured way.

Business user activation

We train your teams — sales, finance, operations, administration — to use generative AI in their daily tasks, with examples drawn from your own context rather than generic demos.

  • Training workshops by function (sales, finance, etc.)
  • Prompt library tailored to your processes
  • Clear, enforceable AI usage policy
  • Identification of internal AI champions

AI development task force

For organizations with a technical team, we deploy a task force that works in short sprints to build custom internal assistants — connected to your tools and your data, not generic data.

  • Short, iterative sprints
  • Internal assistants connected to your data
  • Knowledge transfer to your team

Agentic deployment

AI agents can execute multi-step tasks (research, drafting, updating systems), but must be deployed with guardrails: clear limits on what an agent can do on its own, human oversight checkpoints, and ROI measurement. We work with tools such as Claude and Copilot Studio depending on your ecosystem.

  • Guardrails and action limits defined from the design stage
  • Human oversight at critical steps
  • ROI measurement for every deployed agent

Governance and compliance

In Quebec, the use of generative AI that touches personal information must comply with Law 25. AI activation systematically includes a compliance component: which data can pass through an AI tool, which cannot, and how to document it. See also our privacy policy for the principles we apply ourselves.

A typical 90-day journey

Days 1-30: Scoping and training

AI policy, training workshops by function, identification of initial use cases.

Days 31-60: Initial deployments

Setting up pilot assistants or agents with close supervision.

Days 61-90: Measurement and expansion

Results evaluation and a plan to scale up the use cases that work.

Frequently asked questions

It depends on your current tools (Microsoft 365, Google Workspace), the type of tasks targeted, and your security requirements. We assess your context before recommending a combination of tools — see also our Generative AI page for details on the platforms.

By configuring tools to exclude training on your data, clearly defining which data can be shared with an AI tool, and documenting these rules in a usage policy. This is one of the first deliverables of our approach.

The cost varies depending on the agent's complexity and usage volume (API costs are billed per use, in tokens). This is exactly what our FinOps service helps you forecast and control from the start.

By being transparent from the outset: the goal is to equip teams, not replace them. Our training workshops include an open discussion about these concerns, grounded in your reality.

No. Business user activation requires no technical team. The development task force and agentic deployment are additional options for organizations that want to go further.

This page covers the human side (training, policy, support). Our Generative AI page covers the technical side (platforms, integrations, project types). The two are complementary.

Ready to activate AI in your teams?

Let's start with a diagnostic of your most promising use cases.

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