We've rebranded!Ask-AI is now Mosaic AI
Learn More
Customer Intelligence
Customer Experience & Strategy

The Power of Context: Turning Support Tickets into Strategy [Guide]

Companies that build proper context layers unlock a whole different world of AI value. In this guide, we explore how to take generative AI’s power and make it relevant and valuable to your enterprise.

On this post

Key takeaways

Everywhere you look, companies are investing in AI—and many are disappointed with the results. Not because the tech doesn’t work, but because it doesn’t understand their business.

The real unlock for AI ROI isn’t a bigger model. It’s context. When AI understands who’s asking, why they’re asking, and how it connects to your goals, it stops being a demo—and starts driving real outcomes.

At Ask-AI, we call this the context layer. And it’s changing everything. 

In this guide, you’ll learn:

  • The impact of context in customer service
  • What a properly-designed context layer looks like
  • How context helps you move from reactive to proactive in your support strategy
Download here
Share post
Copy LinkLinkedinXFacebook

See Mosaic in action

Discover how context-aware AI turns customer support into a strategic advantage.

More from Mosaic AI

From careers to content, explore how we’re building powerful, human-centric AI for work.

Frequently Asked Questions

Get quick answers to your questions. To understand more, contact us.

How can generative Al improve customer support efficiency in B2B?

Generative AI improves support efficiency by giving reps instant access to answers, reducing reliance on subject matter experts, and deflecting common tickets at Tier 1. At Cynet, this led to a 14-point CSAT lift, 47% ticket deflection, and resolution times cut nearly in half.

How does Al impact CSAT and case escalation rates?

AI raises CSAT by speeding up resolutions and ensuring consistent, high-quality responses. In Cynet's case, customer satisfaction jumped from 79 to 93 points, while nearly half of tickets were resolved at Tier 1 without escalation, reducing pressure on senior engineers and improving overall customer experience.

What performance metrics can Al help improve in support teams?

AI boosts key support metrics including CSAT scores, time-to-resolution, ticket deflection rates, and SME interruptions avoided. By centralizing knowledge and automating routine tasks, teams resolve more issues independently, onboard new reps faster, and maintain higher productivity without expanding headcount.