The AI-savvy operating model
Building a humane, effective, and transparent way of working for AI-enhanced knowledge work.
What does an effective operating model look like in a world driven by AI-enhanced speed and innovation, and how do larger organizations adapt to AI's rapid changes?
Tasks that traditionally took days or weeks, like product discovery, user testing, and hypothesis validation, will soon be completed in hours. This results in a huge reduction in lead time, akin to what public cloud technologies achieved in the late 2000s. Small, agile startups that leverage GenAI effectively are poised to out-innovate larger incumbents unless they take action.
So, what does an effective operating model look like for larger organizations that want to harness GenAI to reduce time-to-value? We already have the answer — organizations that prioritize fast flow, promote psychological safety, nurture community-based decision-making, and apply insights from Team Topologies — like managing bounded team cognitive load and utilizing internal platforms are achieving high performance.
Key benefits of focusing on fast flow:
Increased financial efficiency — typically millions of dollars annually.
End-to-end financial transparency.
Shorter time-to-value.
Improved scaling capabilities without the usual slowdowns.
Enhanced ability to detect and meet user needs.
Greater staff well-being, engagement, and a sense of autonomy, mastery, and purpose.
Overall organizational agility.
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