5 Tips to Select the Perfect AI Partner to Supercharge Customer Support
Avoid being among the 30% burned by AI vendors*
With the emergence of AI and ML technologies, teams are seeking new metrics to evaluate their support teams. However, there is a lot of confusion and mixing of concepts among potential buyers of this technology.
To help, we created a guide based on customer interviews and engagement with the Customer Experience community, which will assist in making informed decisions in choosing the perfect customer support partner, maximizing ROI, and revolutionizing AI for customer experience.
Specialization is Crucial
To ensure targeted, high-quality solutions, select an AI vendor that specializes in one or two areas of the AI vendor map below. When creating an RFP, organize your questions according to the insights you want to uncover and the jobs you need done. Avoid the common pitfall of creating only one category for "AI" since AI can perform various functions (ie. VOC, AutoQA, and Agent Insights).
Demand a Self-service Pilot
To examine the quality of insights the AI vendor can offer for your business, a self-service pilot is vital. The main risk in implementing an AI solution is ensuring that its technology works for the nuances of your business, which can be derisked only through a pilot.
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According to 45.65% of our community, Customer Satisfaction (CSAT) is now considered an outdated and misleading metric for evaluating people. With the help of AI tools, companies can automate customer support and improve customer experiences by unlocking new ways to generate support metrics and perform targeted deep dives.