Two Out of Three Is Not Enough in P&C
An economically sound decision is not defensible without supporting evidence and valid delegated authority at execution.
Read on LinkedInSelected executive perspectives
Arguments for people
who own the consequences.
Perspectives for P&C leaders on the decisions that bind risk, establish reserves, authorize payments, and shape portfolio economics. The central concern is not just whether AI performs, but whether executives can explain and govern the decisions it changes.
Signature arguments
Who owns the decision—and its consequences?
Six distinct arguments connecting decision authority, judgment, portfolio economics, claims evidence, and future defensibility.
AI Agents Are Forcing Institutions to Make Authority Explicit
Access permissions do not determine who can legitimately bind, reserve, pay, or change terms. Decision rights must be explicit before autonomy is granted.
Read on LinkedInHuman in the Loop (HITL) Does Not Mean Decision Ownership
A human approving an AI recommendation is not necessarily an owner with the authority or ability to challenge it.
Read published articleIf AI Improves the Loss Ratio, Which Decisions Actually Changed?
Connect AI interventions to actual underwriting and claims actions, economic exposures and portfolio results.
Read published articleWhen Claims Become Easier to Present Than to Verify
A compelling claims summary cannot substitute for reconstructible evidence or a clear record of who authorized the action.
Read on LinkedInThe Hidden Cost of AI Decisions in P&C
The future burden of reconstructing consequential decisions belongs in the economics of AI governance.
Read published articleExecutive operating model
Execution speeds up.
Can the enterprise adapt?
Faster workflows are valuable only if scarce judgment moves to where decisions still matter and leaders can change course.
AI and the economics of insurance
More throughput is not necessarily a better decision system.
The Fast and Slow P&C Carrier
A carrier can accumulate risk at machine speed while changing underwriting assumptions and decision rules far more slowly.
Read on LinkedInAI Is Removing Insurance Work. Where Should Human Judgment Go?
More throughput is not better judgment. The opportunity is to move scarce expertise toward the underwriting and claims decisions that change economic outcomes.
Read on LinkedInSelected industry publications
External writing with direct P&C relevance.
Earlier published work chosen for its connection to claims evidence, reserving, litigation, and decision economics—not for the publication count.
AI Lets Insurers Avoid Reserve Surprises
Why fragmented claims, actuarial, underwriting and financial evidence can leave a carrier exposed to adverse reserve development.
Read published articleHow to Avoid Litigation With Pre-Suit Claims Analytics
Earlier work connecting claims analytics with legal and operational decision-making.
Read in Carrier ManagementEarlier ITL contribution · March 2025
How to Integrate Generative AI
Read at ITL An earlier perspective on data readiness, validation, and governance for P&C generative-AI adoption. Included as a complementary publication, not a signature executive argument.
Forthcoming book
The Accountable P&C Executive
Decision Ownership and Defensible AI
A deeper examination of ownership, authority, evidence and institutional accountability in AI-enabled insurance.
Publication details will be added when confirmed.
