Cybersecurity Leader Achieves 95% CSAT and 50% Higher Self-Service with AI Support

Cybersecurity

95%

Sustained customer satisfaction

50%

Increase in self-service adoption

83%

Faster log analysis time

17%

Improvement in satisfaction

Client Overview

A global cybersecurity company supporting more than 8,000 enterprise clients across industries such as financial services, healthcare, and technology. As demand increased, the organization needed to scale its support model without compromising quality or increasing costs.

The Challenge

Cybersecurity

Scaling support without losing quality or speed

Rapid growth created pressure on the client’s support operations. High volumes of complex technical issues, combined with a competitive talent market, made it difficult to maintain consistent service levels. The company needed a support model that could scale efficiently, reduce resolution time, and maintain a strong customer experience across global operations.

Sutherland Solution

AI-enabled support model built for scale and consistency

Cybersecurity

Sutherland designed a support strategy that combined skilled teams with intelligent automation. Level 1 support was centralized across onshore and nearshore locations to improve efficiency and access to talent. Specialized Level 1.5 engineers and escalation managers were introduced to handle complex cases and high-value customers.

At the core of the solution was an AI-powered Cognitive Knowledge Engine. This platform unified multiple knowledge bases into a single system, making it easier for both customers and agents to find accurate answers quickly. Sutherland also implemented advanced analytics tools, including automated log analysis, to reduce troubleshooting time and improve resolution accuracy.

The Outcome

Cybersecurity

Higher satisfaction, faster resolution, and scalable growth

The new support model delivered measurable improvements across performance and customer experience. The client achieved a 95% customer satisfaction rate while increasing self-service adoption by 50%, reducing the need for agent intervention. Log analysis time dropped by 83%, which significantly improved response and resolution times.

Search accuracy also improved, with failed queries reduced from 30% to less than 3%. Customers using self-service tools reported a 17% increase in satisfaction, showing that the experience was not only faster but also more effective. These improvements contributed to a 90%+ renewal rate and helped the client earn industry recognition for customer service excellence.

That’s digital outcomes delivered!

95%

Sustained customer satisfaction (CSAT)

50%

Increase in self-service adoption

83%

Faster log analysis time from 30 minutes to 5 minutes

90%+

Annual renewal rate across enterprise customers