Artificial intelligence doesn't automatically fix a lack of structure. It amplifies what already exists within the organization: data quality, process clarity, team discipline, system consistency, and governance maturity. Many AI initiatives fail not because the technology falls short, but because the organization isn't ready to use it effectively. Data is scattered, processes are informal, accountabilities are unclear, and teams often lack the reference points needed to integrate AI into their day-to-day work. Before making any significant investment, executives need to assess their organization's readiness. That assessment determines whether the organization can deploy AI now, whether it should start with limited use cases, or whether it needs to strengthen its internal foundations first.
47%
of Quebec SMBs have started at least one concrete AI use case
62%
of leaders believe their data is insufficiently structured for AI
31%
have formal governance around generative AI tools
AI maturity in the enterprise - 2025 → 2026 evolution
Identified and prioritized AI use cases
