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Processes don’t need to be perfect — they just need to work.
The second pillar of our Operational Excellence framework for AI success is Process.
While technology often gets the spotlight, it’s your processes that keep objectives on track and ensure AI efforts translate into measurable results.
Without discipline in process, even the best strategy or tools fall short.
Key Principles for AI-Ready Processes
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Good enough > perfect
Don’t wait for perfection — it never arrives. Start small, learn fast, and improve continuously. The most successful AI implementations evolve through iteration, not endless planning. -
Measure performance
If you don’t measure, you can’t improve. Data-driven visibility helps you see where things are working — and where they’re not. Measurement transforms assumptions into actionable insights. -
Align with priorities
Focus on what truly matters. Processes should support your top business goals — not create extra work. Alignment ensures that every improvement drives real impact.
Reflection
Do you have clear objectives and KPIs?
How are you measuring and improving performance today?
Because what gets measured improves — and strong processes drive results.
Next up in this series: Pillar 3 – Tools.
Choosing the right technologies for ROI and adoption.
If you’d like to learn more, follow me for practical insights on building the foundations for AI success.
