Turning AI ambition into an aligned transformation roadmap

Challenge

A mining company in Québec knew AI could create value but not where to start. Ideas came from every function, with no common way to evaluate them, choose the right technology, or know whether the data could support them. Without clarity, it risked capital spent, ROI never captured, and trust lost.

Title

Operational Intelligence approach

InSource led an on-site Discovery Workshop that brought nine functions together to turn 35 ideas into problem statements, scored on value, effort, and readiness and validated by the people closest to the work. The result is an outcome-driven prioritization strategy the company can resource against, sequencing where to invest first and what must be in place to scale.

The impact

The result is a clear path forward, turning 35 ideas into focused, prioritized initiatives. With a roadmap aligned across business functions, the organization knows where to start and how to move forward.

By identifying foundational gaps before making significant investments, resources are protected and technology decisions are driven by business outcomes rather than trends. The organization gains more than a roadmap. It builds a repeatable approach to AI and innovation that supports smarter decisions and long-term growth.

What changed for the organization

The organization shifted from debating technology to prioritizing business challenges based on their potential impact and return on investment. Teams across operations, safety, environment, geology, finance, procurement, human resources, and continuous improvement aligned around shared priorities, creating a stronger foundation for adoption.

Investment decisions became grounded in clear business cases, while foundational gaps were identified early, helping the organization avoid unnecessary costs and make more informed decisions about where to invest.