An action plan for insurance quality assurance leaders
Artificial Intelligence (AI) is evolving at a rapid pace, and the insurance sector is primed to take advantage of these new technological capabilities. As AI-driven solutions are deployed across claims, underwriting, and compliance, Quality Assurance (QA) leaders must assess their organization’s AI readiness to stay ahead of the curve. QA functions, with their robust data sets, process expertise and unique positioning within the carrier organization, have the opportunity to drive the adoption and execution of AI capabilities, and deliver significant value to their organizations – across financial performance, process improvements and customer satisfaction. Organizations that embrace the opportunities to leverage AI, evolve their workforce and push the boundaries of our shared technological capabilities will thrive. Those that fail to do this will likely fall behind.
Are you ready to integrate AI into your QA program?
The latest whitepaper from Athenium, AI Readiness for P&C Quality Assurance: An Action Plan for QA Leaders, provides a comprehensive guide to evaluating an organization’s preparedness for AI, specifically highlighting opportunities for QA programs to be pacesetters in the adoption and deployment of these new technologies:
- The rise of Generative AI (GenAI) and its transformative potential across the insurance workflow.
- Key readiness factors – including strategic alignment; data and infrastructure; and talent and culture – that determine successful AI adoption.
- Actionable steps to assess and improve AI readiness, ensuring QA teams can leverage AI effectively and drive enterprise-wide transformation.
According to a recent Carrier AI Readiness Self Assessments by Datos Insights, only 11% of surveyed insurers feel well prepared when it comes to AI, yet 80% of companies say they have less than 18 months to deploy an AI strategy. AI readiness should be a top priority for QA leaders looking to fully realize the potential GenAI can provide.
This whitepaper includes:
- A step-by-step framework for assessing AI readiness
- Checklist for ensuring strategic alignment
- Strategies for mitigating common data and infrastructure risks
- Best practices for building and cultivating a AI-ready team
AI readiness assessments are an ongoing exercise, but critical to the success of an AI strategy. Take action today to complete your AI Readiness Assessment and download AI Readiness for P&C Quality Assurance.
To download and receive the full whitepaper, please click here.