The insurance industry is evolving, with AI being incorporated into several areas from operations to claims, customer service, underwriting and more. However, as insurers navigate AI and determine where it can make the greatest impact, knowing where to start can be a challenge. Organizations must be prepared and intentional about helping their teams embrace AI, while creating parameters that help reduce potential risks.
Even within the same company, leadership, employees and even corporate boards may have different expectations and definitions of success when it comes to AI adoption. More than one-third of CEOs feel their boards overestimate what AI can replace and 60% feel boards are too impatient with the pace of transformation. At the same time, 76% of executives think employees are enthusiastic about AI, while just 31% of individual contributors agree this is true. Aligning on goals, strategy and success metrics is essential.
If your team is aiming to integrate AI into its operations, it is important to take a disciplined and structured approach. Below are six phases to ensure you’re best positioned for successful AI adoption.
Assess and align your stakeholders.
The first step of your implementation journey involves determining how AI can provide the greatest value within your specific organization. Identify friction points and operational bottlenecks across workflows, where AI can deliver immediate efficiency gain. Once you’ve pinpointed these areas, set clear business goals, establish your baseline and determine measurable success metrics, such as lowered costs or reduced cycle times. Prior to moving forward, gain executive and board buy-in, clearly addressing how incorporating AI will move the needle toward achieving larger business goals.
Establish governance and prepare your data.
Lay the groundwork for successful implementation by defining and establishing clear AI governance for your organization. This includes guidelines for model transparency, bias testing, audit trails and vendor oversight. At the same time, ensure your workflows align with NAIC guidelines and any state-specific AI regulations. Finally, clean and secure your data to ensure you’re operating on a solid and reliable foundation from the start.
Build your team.
As with any project or transformation, having the right individuals in place is essential. Determine your talent needs across data analysis, technology, and AI-savvy underwriting and claims roles. Train and upskill your workforce early to build confidence and comfort with new tools. Additionally, be proactive in identifying current and future skill gaps that may arise. Once you’ve pinpointed these areas, determine where you will develop these skills internally and where you will need to bring in external talent, whether through interim expertise or new hires.
Start with a high-impact, low-risk use case.
Before rolling out a full-scale program, run a pilot in a controlled environment to gather user feedback and optimize the process. Select one high-impact, yet low-risk workflow to test, such as claims triage or document extraction. Define your success metrics and benchmarks, like cycle time or cost savings, before launching the pilot. Use this as an opportunity to test, learn and refine prior to launching on a larger scale.
Scale what works.
Following a successful pilot, you are ready to roll out proven AI tools across other departments in manageable and structured phases. Update standard operating procedures and provide your workforce with documents and training to help them most successfully embrace and adapt to the new workflow. As part of this, ensure you’re monitoring user adoption, operational performance and compliance on an ongoing basis, while continuing to ask for feedback.
Measure results and continue to evolve AI use.
Track the ROI of your program to ensure it’s providing the value you anticipated within your initial assessment. Adapt your governance and compliance policies regularly as tools, risks and regulations evolve. Most importantly, continue to adapt and innovate. Encourage a culture of learning and improvement to stay ahead of market trends.
In today’s environment, most insurance leaders are feeling the pressure and hype around implementing AI tools. However, taking the time to be strategic and thoughtful will set your team up to make the greatest long-term impact.
Curious where your organization falls in its AI-readiness? Take our online assessment to find out: https://www.surveymonkey.com/r/3TSLS92.