Agent Trainer introduces Scenario Folders for better organization and AI Guidelines for high-quality scenario creation, helping contact centers scale training programs efficiently.
Explore Fuel iX's 2026 roadmap for Agent Trainer and Agent Assist, focusing on smarter training and real-time assistance to enhance customer service.
CX leaders are moving beyond perks to AI-driven empowerment. Learn how simulations and gamified training reduce churn by 50% and build the "cognitive muscle memory" agents need to succeed in the first 90 days.
Explore the importance of multi-turn attacks in AI security and how Fortify's advanced testing strategies address these persistent threats.
Explore effective strategies and modern training tools to reduce high agent churn, boost retention and improve operational efficiency in contact centers.
TELUS Digital has been named a Leader in NelsonHall’s 2025 NEAT Evaluation for CX Services Transformation in overall capabilities, CX improvement, cost optimization and revenue generation.
Learn how AI scenario training equips customer experience agents to handle high-stakes interactions with empathy, creativity and confidence.
Our benchmark analysis of 24 GenAI models reveals exploitable vulnerabilities and risks. Explore strategies to secure AI systems effectively.
Join us for a groundbreaking virtual summit where industry leaders and experts navigate the challenges of AI safety and security, providing actionable insights to safeguard the future of AI.
Gamified training is a proven strategy to enhance contact center agent engagement and reduce burnout. Learn how to implement it effectively for better performance and retention.
GenAI chatbots create new security risks that traditional tools can't detect. Discover why AI red teaming is essential to find vulnerabilities before attackers do — and the five flawed assumptions leaving organizations exposed.
Fuel iX™ Fortify revolutionizes GenAI safety and security with automated testing, helping enterprises identify vulnerabilities, ensure compliance and build trust in AI applications at scale.
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