ScopeframeResearch for property claims buyers

Expert Q&A

Which recognised experts should buyers put these questions to?

Scopeframe research deskSection 06Page 2 of 21Updated 20 October 2026

Recruit a balanced panel rather than allowing software suppliers to define both the problem and the acceptance test. The suggested interview assignments below are editorial choices based on each person’s documented public role.

Prospective contributor Publicly documented relevance Questions to prioritise Perspective to disclose
Bryan Falchuk, PLRB president and CEO PLRB identifies him as its CEO in its 2026 Claims Conference invitation; he also hosted a public AI-and-claims panel recorded at the conference on 24 March 2026. Acceptance, operating-model choices, pilot evidence and reasons not to buy Industry association and education perspective; not an independent audit of a particular supplier. (linkedin.com)
Patrick Gee, identified as Travelers’ SVP of Auto and Property Claims A 2 June 2026 customer case study identifies his role and discusses claims automation at carrier scale. Retained carrier work, business-case ownership and catastrophe capacity Carrier perspective. The cited deployment concerns auto claim intake, not proof of property-file production performance. (openai.com)
Aaron Brunko, Verisk property-estimating executive Verisk’s investor-day biography identifies responsibility for its Xactware suite and experience spanning QA, product development, training and implementation. Estimate QA, rules, integration, revisions and exportability Estimating-platform supplier perspective. (investorday.verisk.com)
Garret Gray, Cotality president of Global Insurance Solutions Cotality’s 27 May 2026 podcast and transcript identify his role and discuss AI, interoperability and claims workflows. Operating-model boundaries, workflow integration and automation governance Competing platform supplier perspective. (cotality.com)
Mark Whatley, founder of Actionable Insights The organiser’s biography for a 26 January 2026 industry roundtable identifies his estimating-training and restoration background. Evidence sufficiency, disputed scope, carrier rules and material defects Training and restoration perspective; commercial relationships should be disclosed before publication. (candrmagazine.com)
Amy Gromowski, Cotality head of Data Science A 4 March 2026 podcast identifies her role and discusses transparency, data quality and human oversight. Validation, uncertainty and meaningful human review Data-science and supplier perspective. The cited discussion is broader than claims-file production. (cotality.com)

Complete the panel with operational evidence owners: a serving carrier technical-QA leader, a claims finance controller, an inspection-vendor manager, a security architect and state-qualified claims counsel. These participants should bring redacted records, not merely commentary. A prominent executive cannot substitute for the reviewer who can explain why a particular file failed.

Before interviewing anyone, ask about supplier employment, consulting, referral fees, investments and paid speaking relationships. Do not describe a prospective contributor as independent without checking.

Sources cited on this page

  1. linkedin.comlinkedin.com
  2. openai.comopenai.com
  3. investorday.verisk.cominvestorday.verisk.com
  4. cotality.comcotality.com
  5. candrmagazine.comcandrmagazine.com
  6. cotality.comcotality.com