AI Is Not the Strategy. Execution Is.
At the executive level, we do not have the luxury of confusion.
Our teams are tired. Our operations are strained. Our customers feel the friction. And yet the industry conversation continues to orbit around AI announcements, pilots, and roadmaps that look impressive but change very little. On the insurtech side, it is the same mixed in with large fundraising announcements.
Let’s be direct.
AI is not the strategy. Execution is.
Theater thrives when leadership avoids reality
AI theater exists when leadership talks about innovation without confronting how work actually moves.
It shows up as tools layered on top of broken processes. It shows up as pilots that never scale. It shows up as product roadmaps that avoid the hard decisions required to change operating behavior.
This is not a technology failure. It is a leadership failure.
Change management was never optional
Every meaningful transformation in insurance has required disciplined change management.
AI does not change that. It intensifies it.
Automation without clarity creates anxiety. Intelligence without accountability creates risk. Speed without ownership creates failure.
Execution driven leaders understand that no level of AI or systems change organizations. People do.
The executive question that matters
The question leaders must answer is no longer “How do we use AI?”
It is about the following:
Who owns outcomes when systems act?
When decisions are automated. When workflows self route. When intelligence influences compliance, service, or risk.
Ownership cannot be abstract. It must be designed into execution.
This is where most initiatives break
Most AI initiatives stall because they treat intelligence as an overlay instead of an operating principle.
They add insights without redesigning flow. They introduce models without restructuring responsibility. They measure adoption instead of outcomes.
Execution does not fail quietly. It erodes trust.
What execution focused leaders are doing differently
The leaders making real progress are not chasing hype.
They are redesigning how work moves. They are removing manual effort deliberately. They are embedding governance inside workflows.
They are not asking teams to adapt to tools. They are designing systems that adapt to teams.
This is the difference between automation and orchestration. Between activity and outcomes.
Why this moment is different
AI is forcing a reckoning.
It exposes every inefficiency. Every unclear handoff. Every decision that no one truly owns.
Leaders who treat this moment as a technology upgrade will struggle. Leaders who treat it as an operating transformation will endure.
The standard must change
The industry cannot afford another cycle of theater.
Execution must be measurable. Change must be intentional. And leadership must be visible where work happens.
AI will not save broken execution.
But disciplined execution will determine whether AI becomes an advantage or a liability.
Thank You
Bobbie Shrivastav
Interested in learning more about how we help organizations with the AI shift with outcomes vs. theory – visit Solvrays
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Originally posted at: Solvrays