Coveo for Financial Services

Experience enterprise-secure AI: Personalized, Proactive & Powerful

FSIs that use Coveo AI report:

  • 76% self-service success…
  • -56% average time-to-resolution…
  • +37% increase in customer satisfaction…
  • +231K productivity hours saved

Relevant end-to-end digital CX

Deliver relevant experiences for site visitors – even before authentication. Drive time on site, financial well-being engagement, and conversions through Coveo AI’s self-optimizing search & recommendation engine. Reduce friction with query suggestions, typo tolerance, and relevance-based result rankings.

Personalized employee experiences

Personalized employee experiences

Help your employees and financial advisors self-serve at scale with intelligent search, recommendations, and journey orchestration. Machine learning optimizes the value you get from Coveo as it collects data from employee interactions. Analytics provide insights into knowledge gaps and opportunities to increase engagement.
Workplace Recommendations

Empower contact center reps

Empower contact center reps

Boost rep efficiency and engagement by providing relevant information right in their workflow. Centralize institutional knowledge to eliminate silos and increase first-contact resolution. Provide 360-degree insights based on customer history for record-breaking time-to-resolution.
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Coveo Relevance Generative Answering

New

Coveo Relevance Generative Answering

The world’s first relevance AI platform offering enterprise-ready generative answering that’s secure and accurate enough for financial services, because they’re already using it! Stay on the forefront of innovation without sacrificing safety. Built to prioritize data security, factual accuracy, and relevance.
So this demo is built on top of an index of Coveo technical documentation, created knowledge, forums, and YouTube in YouTube videos among other things. So I will go to search box and I will first type what are the different ways to build a search interface. So while the answer is rendering please note the rich formatting here so we have clear headers, nice spacing between paragraphs, and we now have tables providing an elegant way to render information to users. If we scroll down we have citations to the documents for which the answer is generated. We can see an excerpt before clicking to open the original content. We now have also the possibility to enter into a conversation with a search engine. So we have an ask follow-up search box here and we also have suggested queries here that are automatically generated. Of course at the bottom we have great search results ranked by relevance. So I will ask a follow-up to the Coveo the original question. Remember, the original question was, what are the different ways to build search interface? So let's say that I will type using Atomic, which is one method to build search interface with Corel. So if I type using atomic here, it will generate a new answer with the con in the context of the conversation. And while it's rendering here, it's rendering a nice, a nice list of features and benefits for Talmik here, but it's really a follow-up to the original question here and I can click here to reopen the original question and get the answer here. Right? And I can collapse this and I will get back to the using atomic here. So now let's see what what I had in terms of suggested questions here. So how does Atomic Library compare to JavaScript search framework in terms of performance and programming skills required. Let's click on this and it's very interesting right from a it will, it will compare from a performance and programming skills perspective how Atomic and JavaScript Search Framework compares with each other. I will type a new search here. I want to show you one last thing. This is pretty cool. How to change the look of Atomic? So while it's rendering the answer, of course, you will see it's rendering quite quick rather quickly. So you will see a nice table here listing all the custom properties in the description that can be used to customize, the styling of Atomic here. But please note the different, styling here in the answer, and we're using a different styling here for code and CSS, CSS here. So in addition to nice paragraphs, headers, tables, and so on, now we can also render code in the answer, which is, quite important, especially in technical documentation, the context of technical documentation. So all of this, is rolled out as we speak to existing customers, all of these great capabilities. They are customizable and can be adapted to any size layout. So we're quite excited about the outlook of this and the impact of this on user experience, and, we look forward, testing that with you in the future.
Billion-dollar enterprises rely on Coveo AI‑Search
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