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"AI operations analyst for enterprise call center workflows"
TLDR: Cutting just 1 second off each customer call can save enterprise call centers millions of dollars. Calltree helps enterprises' VP of Operations understand how to make their call center more efficient. The Calltree AI agent analyzes millions of minutes of call center recordings to find inefficiencies in workflows and quantifies the cost of each action. For example, when a rep is handling a credit card dispute, Calltree can identify that reps spend 30 seconds per call on manual data gathering and data entry, propose a solution, and measure the opex savings. Calltree surfaces these insights in an analytics tool and generates reports, making it easy for operation leaders to build business cases to prioritize improvements, realizing millions in opex savings.
Founded by Kun Qian & Robertson Taylor
The Team
- Kun led product at AWS’ contact center solution, working with hundreds of large enterprises such as Capital One, Intuit, and Adobe.
- Rob specializes in multimodal search for video and audio, previously helped companies like Walmart and Etsy fine tune embedding models.
- After seeing how little of these screen recordings ever got analyzed—despite their huge potential value—they decided to automate that process end-to-end.
If cutting every second matters to your call center, please email the founders Kun and Rob or book a demo here.
The Problem
Large enterprises track every second of a phone call because reducing average call time can save millions of dollars each year. However, enterprises don't have a scalable way to find these inefficiencies. Manual time studies (in person shadowing call center reps, etc.) are tedious, unscalable, and expensive.
What Are Screen Recordings?
Many contact centers don’t just record the audio of customer calls; they also capture everything the rep does on their screen for training, compliance, and quality assurance. Less than 1% of these screen recordings are ever reviewed by a manager or analyst and miss 99% of calls. This leads to blind spots and missed opportunities for massive cost savings.
The Solution
- AI agent that finds workflow inefficiencies (e.g., toggling between multiple systems to complete a single task).
- Quantify the time and cost of each action (e.g., “Switching between these five legacy apps costs 20 seconds per call → $5M/year”).
- Operation leaders use these insights to build quick business cases to fix inefficiencies. After changes are implemented, Calltree measures the impact pre- and post-fix to prove cost reductions.
Learn More
🌐 Visit calltree.ai to learn more.
🎉 Book a demo with the team.
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