In 2026, AI customer service tools aren’t about replacing agents but about helping them work smarter. Leading platforms now handle up to 70% of routine asks within a week of setup, cutting response times and costs from $3-$6 down to closer to $0
Dark data is the information companies store but never use—up to 55% of all stored data just sits there. This hidden stash matters because it adds to storage costs, risks data breaches, and clutters AI projects with useless noise
After trying a dozen AI platforms, I’ve seen some cut customer wait times by 40% while boosting agent output. The trick? Using AI to assist agents, not just resolve tickets alone
Dark data is the information companies collect but never use, often making up 55% of all stored data. It adds unnecessary storage costs and creates security risks. When AI tools pull from this mess, they generate a lot of noise, slowing down insights
Claude Max offers two pricing options: $100 for 5x usage and $200 for 20x usage. The catch? While the 5x plan multiplies your session time by five, it only applies within a rolling five-hour window and doesn’t increase your weekly cap
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After testing AI customer service platforms across regulated industries, I’ve seen tools push automation from 30% to over 70% in just a week. But it’s not about robots fully resolving every issue
Dark data is the information your company collects but never uses—like old files, emails, or logs. Around 55% of data is dark, quietly taking up space and driving up storage costs. It also adds risk and creates noise that messes with AI projects
Dark data is the inactive or unused info companies store without knowing its value. Around 60% to 80% of data sits idle, creating hidden costs and risks like security gaps