Summary
Speed used to be the fight. AI just ended it.
For years, engineering leaders optimized for throughput, cycle time, and velocity. AI is starting to remove that constraint for a lot of teams. But speed was never the whole problem, just the loudest one.
So once that constraint disappears — what takes its place?
Let’s dig into where the real bottleneck moves next: review, decisions, trust, structure, people. Bring what you're actually seeing. Challenge the consensus. Let’s map out what leadership looks like when productivity is no longer the bottleneck.
Host
Dhara Patel
Senior Vice President Of Engineering @ Kinesso
Technology executive with a 19-year trajectory from engineer to executive — across Citrix, Twilio's IPO, and enterprise AI transformation within Omnicom. I operate with a CTPO scope, owning engineering, product, data, and AI end-to-end without a traditional product org. I advise Series B through D companies on architectural readiness and AI strategy, and am trusted by C-suites and boards through IPO readiness, M&A integration, and large-scale AI transformation. My work lives at the intersection of technical depth, product ownership, and what it actually means to lead when AI is changing everything underneath you.
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