
Helping businesses turn operational data into reliable foundations for analytics and AI
We work with Canadian organizations typically ranging from 20 to 300 employees.
Data is spread across ERP systems, internal tools, and spreadsheets.
Teams rely on time-consuming, fragile reporting processes to run operations.
There is little in-house data or software engineering capacity to support growth.

Operational data was originally designed to execute and record work, not to generate insight.
AI changes that, turning the same data into a strategic asset — but only when it is structured, accessible, and reliable. Organizations that delay building these foundations risk falling behind more adaptive competitors.
Process improvements used to rely on one-off reports and intuition. With AI, the same data allows firms to continuously optimize operations using real-time, data-driven insight.
Planning used to be driven by static forecasts and manual adjustments. With AI, the same data lets firms model scenarios dynamically and make better decisions under uncertainty.
Critical operational knowledge used to live only in people’s heads. With AI, firms can capture, formalize, and scale that knowledge before key personnel churns or retires.
Operational data used to only support internal reporting. With AI, firms can leverage that data into insights, benchmarks, or services that can create entirely new revenue streams.
IDM works best with Canadian firms that have meaningful operational data but limited internal capacity. A short conversation can help determine if there's a strong fit and a sensible path forward.
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