Genesys is introducing an artificial intelligence (AI)-driven experience solution to simplify how organizations can orchestrate and optimize customer and employee journeys. Called Genesys Cloud AI Experience, the solution is built with enhanced personalization, automation, and prediction features in real time, enabling organizations to integrate data and customer signals as they occur for maximal engagement with customers and employees across digital and voice touchpoints alike.

And while many organizations are held back by legacy business processes, siloed solutions, and insufficient technical resources, Genesys says in a statement that its Cloud AI Experience solution removes the barrier to entry presented by AI because of its integrated nature combining conversational AI, knowledge, agent assistance, and predictive actions, making it possible for stronger customer journeys to be achieved within weeks, not quarters. The solution can also help organizations extract more value from their data, so that self-service and employee-assisted engagements can be fine-tuned with greater precision.

Based in Daly City, California, Genesys is the provider of a business model and type of customer care that the company calls Experience as a Service, representing its vision of empathetic customer experiences at scale.

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Olivier Jouve, executive vice president and general manager of Genesys Cloud CX, says the new capabilities should prove helpful. “As a pioneer in Experience as a Service, we’re making it easier for organizations of all sizes and scale to stay ahead of changing consumers’ needs through experience orchestration,” notes Jouve. “Using Genesys Cloud AI Experience, we’re giving organizations a powerful foundation to help them innovate effortlessly and wow their customers through more proactive, personalized experiences.”

AI Innovation to Enhance the Journey

At the heart of the Genesys solution to improve customer and employee journeys are AI capabilities offering innovation in at least four ways, according to the company.

For instance, the new Genesys digital bot flow builder now allows organizations to differentiate their customer self-service experiences by using elements like rich media, images, visual menus, and added languages, among others. As a result, better digital experiences can be expected.

A second point of innovation is the new centralized workbench powering self-serve and human-assisted service for smart knowledge, which companies can use to create and enrich for use across channels. A new knowledge optimizer also gives organizations deeper visibility into content effectiveness and usage, helping them detect the most valuable customer resources.

In the third, transparency in the use of AI and an “explainability” feature in the solution supply insights into the factors driving better customer outcomes. And in the fourth, the AI-driven optimization process is one that contains embedded data services to capture interaction data, with additional functionality automatically applied for speech and text analytics, intent mining, and identity resolution.

Available now, Genesys says the new AI Experience capabilities can be added to an organization’s existing Genesys Cloud CX contract, or they may be included as a part of a new deployment.