Synthetic intelligence (AI) has the potential to revolutionize the group and voluntary advantages trade, significantly throughout peak enterprise durations when human sources are stretched extraordinarily skinny and with a rising variety of generational segments as workers who’ve completely different wants.
By streamlining quoting, optimizing sources, and automating handbook duties, AI can assist improve group insurance coverage gross sales, increase profitability, and enhance the shopper expertise. In consequence, 74% of insurance coverage executives are planning to extend their investments in AI. Insurers that seize this chance early on can have a important benefit in assembly altering buyer wants, optimizing operations and driving development.
How can group and voluntary advantages insurance coverage suppliers leverage AI to maximise gross sales and stay aggressive?
Personalize and Advocate Alternate Plan Designs with AI
Conventional new enterprise and renewal processes will be time-consuming and end in missed alternatives. It’s useful for gross sales and underwriting groups to have data-backed reference factors when designing plans for shoppers.
Utilizing predictive analytics, insurers can shortly generate alternate plan designs utilizing considered one of their Most worthy belongings: information.
Right here’s the way it works: utilizing an AI suggestion engine, carriers can use their historic gross sales information to determine essentially the most profitable bought plan designs for comparable shoppers. Suggestion engines, like these provided by the Majesco International IQX Gross sales & Underwriting Workbench, will fetch information for comparable teams (measurement, geography, trade) and counsel an alternate plan design that may be introduced alongside the handpicked plan.
This acts as a strong benchmarking device whereas circumventing information limitations in group insurance coverage as a result of it makes use of the provider’s information.AI will also be skilled to make strategies for upselling and cross-selling alternatives on elective worksite merchandise and enhance the plan member expertise whereas unlocking new income alternatives. Some elements it’d think about to suggest merchandise might embrace age, gender, exercise stage, job position, and extra.
These instruments not solely assist insurers faucet worthwhile present sources of income but additionally scale back the quote turnaround time, offering a greater buyer expertise.
Optimize Underwriting
Throughout high-load durations, the amount of quotes requiring underwriter assessment can decelerate processes because of an inefficient allocation of human sources.
Underwriters have various ranges of experience throughout completely different merchandise and quote complexities. Moreover, managers should take their present workload into consideration too. In consequence, quotes may be sitting for days and even weeks earlier than they are often rotated.
AI can help underwriting managers in suggesting the best distribution of quotes throughout the underwriting staff, taking into consideration a person underwriter’s present capability, experience, and efficiency historical past.
Moreover, AI can prioritize quotes with the best probability of closing based mostly on previous successes. By figuring out these useful resource efficiencies, insurers can write extra enterprise in much less time whereas enhancing shut ratios.
Optimize Operations by Automating Guide Duties and Processing RFPs Sooner
The inflow of Requests for Proposal (RFPs) can produce undesirable friction and improve quote turnaround time. To assemble a gaggle advantages quote, gross sales and underwriting groups want to gather and course of a number of key items of data from completely different sources. These might embrace previous plan booklets, coverage summaries, worker census recordsdata, prior claims expertise, and basic shopper info (trade, measurement, location).
Right here’s the issue – these information typically come in numerous codecs, and they’re typically not delivered within the type of structured information. In different phrases, it can’t be mechanically ingested by digital instruments. In consequence, underwriting groups lose numerous hours rekeying info into their inside techniques.
That is the place AI is available in.
AI techniques can extract info from dealer emails, attachments, and RFP supply recordsdata utilizing methods like Optical Character Recognition (OCR) to determine and course of unstructured information trapped in PDFs, photos, the “again of a serviette”, and different codecs.
Pure Language Processing (NLP) can be utilized to coach an AI system to learn an RFP booklet, study carrier-specific phrases and abbreviations, and generate a quote based mostly on the knowledge detected inside the supply doc. These automated processes not solely save time but additionally scale back errors, offering an enhanced buyer expertise.
As soon as the uncooked information has been captured, it may be transformed to structured information within the insurance coverage firm’s format and despatched on to their quoting portal or underwriting workbench.
AI leveraged on this means can drastically reduce the time it takes to assemble a gaggle advantages quote, contribute to improved shut ratios, and fosters higher relationships along with your distribution companions.
Leverage AI Chatbots to Drive New Income Alternatives
Gone are the times of clunky, irritating chatbots that pop up once you least need them. The discharge of ChatGPT within the fall of 2022 confirmed the true promise of generative AI.
By utilizing AI-powered chatbots, group insurers can present instant help and solutions to buyer queries, offering a greater buyer expertise. These instruments will be skilled to study an insurance coverage firm’s merchandise, insurance policies, and basic “language”, serving to clients totally perceive their advantages plan.
Chatbots will also be used to determine potential upselling and cross-selling alternatives for voluntary advantages, enhancing total gross sales and profitability. By integrating with well being information suppliers (e.g., Fitbit) and behavioral information instruments, this performance can turn into much more customized, and tailor-made to the person’s distinctive state of affairs and targets.
Whereas brokers and brokers can’t provide customized recommendation to 1000’s of particular person insureds with various wants and ranges of information, know-how can. Digital assistants and chatbots can present worthwhile steerage to plan members, answering questions, guiding them via the enrollment course of, and recommending new services based mostly on their well being and demographic info.
The most effective digital assistants are proactive, not reactive, offering useful nudges to customers on the proper time.
For instance, Solar Life’s AI-enabled “digital coach,” Ella, encourages plan members to take motion on necessary deadlines, cost-savings, and product choices. Ella’s proactive nudges resulted in practically two million extra interactions from plan members early within the pandemic from January to September 2020.
Solar Life’s funding in digital teaching paid off. Because of Ella’s interventions on the proper time to the correct consumer, the corporate skilled an 83% improve in extra protection bought in comparison with the earlier yr. This success demonstrates the ability of digital assistants in offering customized training and steerage to insurance coverage clients.
Embrace the Potential
AI is poised to revolutionize the group insurance coverage trade, offering vital advantages to each insurers and clients. By streamlining quoting, optimizing sources, automating handbook duties, and enhancing customer support, insurers can improve group insurance coverage gross sales, enhance profitability, and supply a greater buyer expertise.
The production-proven Majesco International IQX Gross sales & Underwriting Workbench has been adopted by 20+ main carriers throughout North America. To take your group and voluntary advantages enterprise to the following stage, the Majesco International IQX Gross sales & Underwriting Workbench provides a collection of AI-powered instruments for worker advantages carriers. These embrace AI-assisted census file scrubbing, a predictive analytics suggestion engine to assist unlock optimum plan designs, AI-driven quote assignments, and extra. And take a look at this webinar[DG1] with Bryan Strang from Canada Life on the enterprise and buyer worth of AI-driven gross sales and underwriting workbench.
Right this moment’s weblog is co-authored by Denise Garth, Chief Technique Officer at Majesco, and Mike de Waal, SVP Group Insurance coverage, Majesco.
[DG1]Underwriting within the Digital Age of Group, Voluntary Advantages and Worksite – Gaining a Aggressive Edge (majesco.com)
