AI-Driven Customer Support: Transforming the Customer Lifecycle

Hey everyone, I’m Vlad Shlosberg, CEO of Foqal. This year at TSIA Envision, we’re taking a hard look at the future of customer support—specifically, how AI can be harnessed to build impactful, lasting relationships at scale. The opening keynote from JB Wood and Thomas Lah resonated with us because it addressed one of the most pressing challenges for tech companies: operationalizing AI to transform customer service and enhance customer experience.

The Shift Towards AI-Driven Customer Support

Customer support today isn’t just a function; it’s a strategic advantage. AI is increasingly reshaping how companies engage with customers, making it possible to connect faster and more meaningfully while optimizing operations. The goal isn’t just cost-cutting; it’s creating personalized customer journeys that deliver real business value.

Messaging platforms are a prime example of this shift. How many of us are supporting customers in Slack, Microsoft Teams, or even WhatsApp? The medium might differ—Slack for tech, Teams for financial institutions, WhatsApp in regions like South America and the Middle East—but the idea is universal: be where your customers are. Once you establish those channels, scaling becomes the next hurdle.

Foqal’s Approach to Scaling Relationships with AI and Messaging

At Foqal, our platform builds a bridge between your customer channels and your ticketing systems, whether you use Zendesk, Salesforce, or Foqal’s own conversation tracking system. Here’s how we’re helping companies align with the future of AI-powered service:

• Intelligent Routing: Through AI, Foqal dynamically routes customer requests based on urgency, complexity, and past interactions, ensuring faster, more accurate resolutions. For example, Sysdig, a Foqal customer, uses sticky routing, assigning requests to named agents based on availability in Slack. This minimizes the number of support personnel each customer interacts with, fostering stronger relationships without compromising scale.
• Predictive Support and Analytics: Foqal’s platform provides predictive insights that alert teams to potential issues before they escalate. This approach shifts from reactive support to proactive engagement, optimizing customer experiences.
• Enhanced Customer Interaction Insights: By integrating customer telemetry, our platform allows support teams to tap into each customer’s unique needs, preferences, and behaviors, driving deeper, more personalized engagements.

Measuring What Matters

In transforming customer support, metrics play a crucial role. Foqal, alongside traditional systems like Salesforce or Zendesk, focuses on metrics like Time to First Response (TTFR), customer feedback (CSAT, NPS, CES), and engagement insights—such as average priority and SLA adherence. Avoid obsessing over Time to Resolution. Encourage meaningful dialogue over rapid answers to reduce reopen rates and improve long-term customer satisfaction.

Balancing AI Automation with Human Connection

AI is a powerful tool, but human connection is still paramount. At Foqal, we’re leveraging AI not just as a chatbot but as an assistive force behind the scenes. For instance, when a customer reaches out, AI can provide immediate, relevant resources while reassuring them that an agent will be with them soon. This strategy blends the efficiency of automation with the warmth of human support.

AI also aids in agent support, routing, and translation. We developed a bot to translate conversations in real-time, enabling seamless global support. Our AI-driven prioritization bot assesses incoming requests as high, medium, or low-priority, ensuring each one receives appropriate attention.

Turning Support Teams into Revenue Generators

A significant challenge for support teams is often their classification as cost centers, which can deprioritize support initiatives. Foqal helps transform support into a revenue driver. Offering enterprise support tiers, such as dedicated channels in Slack or Teams, with add-ons like named agents and SLA contracts, allows companies to monetize their support. For emergencies, enterprise customers can hit a button in Slack, triggering an escalation that connects them with an agent within minutes.

The Journey Ahead

TSIA’s keynote emphasized a call to action for businesses to adopt AI, not just to cut costs but to enhance value. Operationalizing AI is critical for any organization’s growth and innovation. The future of customer support is AI-driven, and at Foqal, we’re here to ensure this journey is smooth, impactful, and sustainable. We believe in empowering companies to scale their support teams and achieve excellence by meeting customers where they are and leveraging AI in ways that enhance, rather than replace, the human touch.

If you’re ready to reimagine your customer lifecycle and scale with AI, we’re here to support that transformation. Let’s redefine what’s possible in customer support, together.