Knowledge and AI: For Digital Experience Transformation
Digital experience (DX) applies to customers (CX), customer service agents (AX), and a variety of business audiences (BX)—executives, managers, knowledge authors, and systems administrators, to name a few.
Businesses have to balance AX, BX, and CX in their DX transformation initiative to improve its odds of success. In other words,
AX+BX+CX=DX?
We call it the Theory of Experiences?
Here, we will tell you why Knowledge and AI, or simply AI knowledge, is critical to improving all three elements of experiences.
1. AI Knowledge and Digital Customer Experience (CX)
Customers reach out to contact centers to get answers. Yet, that is where businesses are failing them.
When asked about the biggest pain points in getting customer service , consumers point to the lack and inconsistency of knowledge among agents and the inability of websites to deliver answers through digital self-service. (Source: Forrester Consulting survey)
No wonder CX is stuck in reverse gear or neutral at best, per Forrester’s CX Index of the last several years—0% of companies have offered “excellent service” in 2022, 2021, 2020, 2019, 2018, and 2017, down from an astronomical 1% in 2016!
The antidote to this plateauing of customer experience lies in deploying next-generation knowledge—that is personalized, proactive, and infused with AI guidance—to power informed customer service through digital and traditional channels. Wherever this has been done, businesses have seen significant ROI and improvement in metrics.
Some real-world impact of AI knowledge on CX
2. AI Knowledge and Digital Agent Experience (AX)
There has been a massive generational shift in the contact center workforce with millennials and, increasingly, Gen Z joining the organizations, especially in the frontline. These next-gen agents live digital, guided lives. They don’t pore over AAA maps or Thomas’ Guides for driving—they are used to getting guided by GPS. They are doing away with human financial advisors, leaving their 401K assets to “robo-advisors.” Moreover, they have low attention spans and hate training, choosing instead to learn or get guided as they work.
Plus, it’s a fact that products are getting more complicated, and agents are getting more of the complex questions as consumers resolve the easy ones through self-service . This is what a 2022 BenchmarkPortal survey, State of Agent Experience 2022 , reported:
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Customer inquiries have become more complex, say 63% agents
The result? Agent experience crisis. Endless hours are spent in training and yet they struggle to answer customer questions, sometimes improvising to come up with an answer. In fact, 84% of contact center agents complained that their desktop tools do not help them in resolving customer issues, per Gartner. No wonder agent churn has hovered at 25% to 50%, depending on whom you ask, and agents have an average of ten hostile encounters with customers every day, according to Psychology Today.
Here’s the good news: AI knowledge can guide the agent (and the customer through the agent) in finding answers, resolving problems, and providing advice through best-practice conversations in a consistent way.
Some real-world impact of AI knowledge on AX
3. AI Knowledge and Digital Business Experience (BX)
Business Experience (BX) is a broad topic and it could span the entire lifecycle of technology consumption: Deployment, adoption, and use by various stakeholders, including end-customers, agents, authors, contact center managers, and others, value creation, and value expansion.
We have made it easy for clients to consume AI knowledge boldly and without risk through a no-charge, no-obligation knowledge production pilot called eGain Innovation in 30 Days?. eGain Innovation in 30 Days also comes with best-practice guidance from domain experts, for success. The rich, out-of-the-box capabilities in the solution, developed and refined over 20 years, and our agile services make it easy to create quick value from the solution upon deployment, while our managed services make it easy to use, maintain, analyze, and fine-tune the applications on an ongoing basis, a proven recipe for great BX!
Some examples of the impact of AI knowledge on businesses that deployed it, with or without the risk-free production pilot
The value of knowledge + AI goes far beyond traditional contact center metrics in the customer experience domain. It is evident that AI knowledge is fundamental to transforming all aspects of DX. You can contact us to know more about AI knowledge.
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