March 6, 2025
3 Reasons Why AI-Powered Engagement is the Future
- 3 Reasons Why AI-Powered Engagement is the Future
- What are AI-Powered Engagements?
- GENERATIVE AI
- AI-DRIVEN DECISIONING ENGINES
- AI AGENTS
- WHAT ARE THE CHALLENGES OF EMBRACING AI-DRIVEN ENGAGEMENTS?
- Privacy Concern
- Lack of Real-Time Context
- evamX: Creating Real-Time, AI-Driven Customer Interactions
3 Reasons Why AI-Powered Engagement is the Future
In today’s fast-paced world, businesses are under increasing pressure to meet the rising expectations of customers who demand personalized and seamless interactions. After all, McKinsey’s study reveals that 71% of customers expect businesses to deliver personalized experiences.
As a result, companies are turning to innovative solutions to stay ahead of the curve—and AI plays a central role in this transformation. By leveraging AI-driven tools, businesses can enhance customer engagement and build stronger, long-lasting customer relationships.
However, while AI is a powerful tool, its true potential is unlocked only when combined with real-time context and data. Providing hyper-personalized experiences goes beyond just the right algorithms, businesses must understand their customers’ needs and circumstances in the moment to truly deliver personalization.
In this post, we will explore how AI can revolutionize customer engagement, and why context-driven strategies are key to delivering relevant and meaningful experiences that truly resonate.
What are AI-Powered Engagements?
AI-powered engagements refer to using artificial intelligence to deliver personalized customer interactions across various channels, such as websites, mobile apps, social media, and email. By leveraging AI technologies, businesses can create tailored experiences that provide more effective communication at every touchpoint of the customer journey.
Here are 3 impactful AI tools that can create more meaningful customer experiences to enhance engagement and loyalty:
GENERATIVE AI
Generative AI, otherwise known as gen AI, is a type of artificial intelligence that can create new content, such as text, music, video, and image generation. Unlike traditional AI, which analyzes and makes predictions from existing data, generative AI models can produce entirely new and unique outputs in response to prompts or queries.
HOW IT CAN IMPACT CUSTOMER ENGAGEMENT: Gen AI can create personalized content quickly and at scale, such as blog posts, product descriptions, social media updates, or marketing emails. Generating content with AI saves businesses time and resources while ensuring the output is tailored to specific customer segments, maximizing engagement.
AI-DRIVEN DECISIONING ENGINES
AI-driven decisioning engines are advanced systems that leverage machine learning to analyze customer data, enabling businesses to make personalized and data driven decisions. By utilizing technologies like segmentation and sentiment analysis, these engines gain deep insights into customer behavior, preferences, and emotions to empower businesses to deliver the Next Best Experience (NBX) to their customers.
HOW THEY CAN IMPACT CUSTOMER ENGAGEMENT: By continuously tracking and analyzing data regarding customer actions, such as purchase history or behavioral patterns, these engines anticipate customers’ needs and preferences. These data-driven insights empower businesses to deliver the most relevant and timely interactions for each individual customer, ultimately increasing customer retention and loyalty.
AI AGENTS
AI agents, such as chatbots, virtual assistants, and conversational AI, are intelligent systems designed to assist with customer interactions, employee support, and even act as a digital double for consumers. To create realistic and natural-sounding interactions, AI agents leverage tools such as Natural Language Processing to understand, interpret, and respond to human language.
HOW THEY CAN IMPACT CUSTOMER ENGAGEMENT: AI agents improve accessibility by offering 24/7 availability, ensuring that businesses can provide customer support at all hours. They are also cost-efficient, reducing operational costs while maintaining high-quality service across customer and internal touchpoints.
As illustrated above, AI-powered engagements have incredibly versatile use cases and could provide numerous advantages to businesses. However, there are some challenges that come with utilizing AI in customer engagement strategies.
WHAT ARE THE CHALLENGES OF EMBRACING AI-DRIVEN ENGAGEMENTS?
The two biggest challenges with embracing AI-driven engagement are related to customer trust and privacy, and real-time contexts.
Privacy Concerns
Customers expect personalized experiences, but they are also concerned about how much of their personal data is collected and used to provide them. This phenomenon is called the “privacy paradox”.
HOW TO OVERCOME IT: Businesses need to strike a balance between using AI insights for personalized engagements while ensuring customer data is secure and used ethically. They must be transparent with customers about how their data is collected and stored, and whether it will be shared with third parties. They must also offer opt-out options to give customers control over sharing their personal information, as 30% of consumers state that they do not want their personal data shared with companies for any reason. Lastly, businesses must adhere to data privacy laws such as GDPR.
Lack of Real-Time Context
Without real-time context to understand customers’ current situation, preferences, and interests, AI-driven engagement attempts can risk feeling too generic, invasive, or overwhelming due to overload communication.
HOW TO OVERCOME IT: Businesses must ensure their AI-driven decisioning engines have real-time decisioning capabilities to provide contextual engagements to customers. Additionally, businesses must adopt an optichannel marketing strategy, where instead of attempting to reach customers through every available channel, they embrace a “less is more” approach and communicate through the channel most relevant for each customer.
While these challenges present significant obstacles, they can be effectively addressed through the implementation of a marketing platform, which enables businesses to streamline and optimize customer engagement across multiple touchpoints.
evamX: Creating Real-Time, AI-Driven Customer Interactions
evamX is an omnichannel marketing platform with an optichannel approach, designed to help businesses connect more effectively with their customers by contacting them through the most relevant channels - avoiding overwhelm and ensuring personalized, meaningful engagements.
With its cutting-edge modules like NBX Decisioning that harness AI-driven decisioning engines and data analysis, evamX is able to provide customers with engaging, real-time interactions at exactly the right moment, through the right channel.
The platform includes a variety of advantageous features, such as contextual segmentation, personalization, automation, gen AI capabilities, and interactive data visualization. Above all, evamX leads with empathy and trust, handling customers’ personal data with the utmost care, complying with data privacy laws, and ensuring that all communications are relevant and respectful.
Are you ready to discover how evamX can help your business harness the benefits of AI-powered engagements?
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