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Issue instant quotes and handle follow-on instant-issue policy conversations through a virtual assistant, designed to respect users’ social norms and carriers’ branding.
Let a virtual assistant handle claims with predictable characteristics, from registration to payout. For complex claims, deploy ‘whisper’ agents who guide complex-claim adjusters in their customer interactions.
Use virtual assistants for “form filling” tasks and submit to integrated back-ends or RPAs for verification, hereby saving brokers’ and employees’ valuable time with notably high satisfaction from policyholders.
Use virtual assistants as personalized shopping guides and robo-advisors to educate customers about available policy options across any support channel, any time. Provide precise recommendations and perform next best action.
Through integration with IOT services, send loss-prevention alerts and notifications via natural language conversation. The virtual assistant can explain preventative actions or take action him/herself, with the consent of the policy holder.
Here are some selected examples of use cases that our language models can handle out-of-the-box:
Don’t make your human users suffer through a bot’s decision tree. Rulai’s platform provides advanced AI-based NLU and dialog management that can support mixed initiatives, context switching, multiple intents, and can construct a dialog in real-time wherever the user wants to take it. It’s time to stop bot confusion.
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To greatly improve the customer experience, virtual assistants ought to be designed by people who deeply understand the use cases and turn them into great experiences with limited or no coding. Our design studio makes it extremely easy to build powerful AI virtual assistants.
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A child learns by doing. So does a bot. No successful bot is born brilliant; they evolve to become brilliant through fast iteration. Our platform makes it easy to identify missing intents, build out new flows, and iterate the bot to deliver on business KPIs, while providing seamless escalation and exception handling during the learning phase.
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The most powerful bots do much more than handle FAQs; they get stuff done by automating workflows. That’s why Rulai’s platform uses a sophisticated action engine to interface with corporate systems like Salesforce, SAP, Oracle, etc. and automate complex tasks.
No IT team wants to deal with single-purpose bots proliferating across an organization. That’s why Rulai built a platform that can scale across use cases, while giving IT control over data, security, privacy, scalability, and overall platform governance.
