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The DIY CX GUIDE
The 85% problem.
An AI gap your team can’t bridge.
Struggling to achieve seamless CX with AI? Discover why 85% of DIY AI projects fail—and how to overcome the gap.
Look before you leap
Building production-ready CX AI demands significant resources, maintenance, and expertise.
You might spend months developing an in-house solution and achieve 85% functionality, but perfecting the final 15%, what transforms a decent chatbot into an exceptional customer experience, can become a costly, time-consuming challenge.
AI-driven customer service
Generative AI is built differently, and customers expect instant, accurate information.
If your AI delivers incorrect or nonsensical responses, it risks damaging your reputation and driving customers to competitors. It might be tempting to rush your AI support platform build, but we promise there's a better way. One that's also faster, higher quality, and in many cases, more affordable. To scale customer experiences (CX) successfully, businesses need an established AI model.
Learn why the hardest part of AI implementation is the most critical—and how to master it.
How to bridge the last 15% of AI success.
What you'll learn in our eBook.
Why building your own generative AI for CX can drain resources and miss critical benchmarks.
The hidden costs of DIY AI.
See how blending generative AI with human expertise ensures safety, accuracy, and customer satisfaction.
Augmented AI —the CX game-changer.
Learn about fully automated quality monitoring to say goodbye to surveys.
Real-world insights.
Understand challenges in AI for voice support and unlock an approach to seize opportunities.
Mastering AI for voice.
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You need this guide if you're considering DIY AI.
Customers expect 24/7 flawless support, but traditional AI falls short, and DIY attempts often fail and raise costs. This guide shares proven strategies CX leaders use to implement scalable, reliable AI—minus the guesswork.
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