A carrier's rate implementation process was constrained by inconsistent ownership, limited planning discipline, underused automation, and fragmented coordination across Actuarial, IT, Underwriting, and Compliance. AIA benchmarked the process against industry leading practices and defined an optimized operating model.
Operational barriers limited the effectiveness of the rate implementation process - slowing time-to-market, increasing operational risk, and leaving opportunities to optimize rate performance on the table.
Accountability for the rate process varied across functions, with no single end-to-end owner.
No formal rate review schedules or project management frameworks guided the work.
Rating engine and automation capabilities sat largely untapped.
Actuarial, IT, Underwriting, and Compliance operated on disconnected timelines and priorities.
The rate review process required stronger governance, clearer ownership, better planning, improved testing, and more disciplined use of technology and analytics.
Rather than assessing the carrier in isolation, AIA benchmarked the rate review process against leading practices across the industry - then defined an optimized operating model grounded in what actually works.
Conducted interviews, surveys, and process walk-throughs with multiple carriers, reviewed end-to-end rate workflows, roles, and timelines, and evaluated industry rating tools and automation solutions.
Benchmarked practices against ISO, ACORD, NAIC, PMBOK, and ITIL standards, developed a comparative RACI model to assess accountability, and identified gaps in process, governance, and technology utilization.
Established best-of-breed operational practices, designed a standardized rate review operating framework, and identified opportunities to leverage automation, analytics, and testing discipline.
Focused on improving execution, coordination, auditability, and rate implementation outcomes.
A Product Manager with end-to-end ownership of the rate process, and clear responsibilities defined across all participating functions.
A formal annual rate review schedule by state, project management discipline, and structured kickoff and communication checkpoints.
Data modeling and predictive analytics to assess rate impact before implementation and sharpen pricing decisions.
Comprehensive QA/QC testing across the lifecycle, with dedicated testing teams to improve accuracy and efficiency.
Expanded use of rating engine capabilities, automated testing, rules-based decision engines, data integration, and workflow automation.
Clearer roles and governance routines across Actuarial, IT, Underwriting, Compliance, QA, and business leadership.
The leading-practice framework created a scalable foundation for continuous improvement and automation-driven efficiency.
Improved planning, governance, and coordination accelerate rate implementation timelines.
Dedicated QA/QC and stronger testing discipline reduce implementation errors.
Clear ownership and auditability strengthen regulatory compliance and documentation.
Defined roles and communication routines improve cross-functional execution.
Analytics and modeling improve the ability to assess rate impact before implementation.
The framework supports continuous improvement and future automation opportunities.
AIA helps insurers assess rate review workflows, ownership, governance, testing, automation, and performance management.